Back to the trend of the day: ChatGPT's maker is reported to be worth $1.25 trillion after new funding
Poly Rating · from the trend of the day

Most Valuable AI Companies 2026: Price vs Published Revenue

Anthropic's SEC filing shows about $67.8B of annualised revenue behind its $965B price, about 14x. OpenAI's larger $1.25T price rests on about $50B that it told investors and has never filed, about 25x.

  • No. 1: Anthropic
  • 10 places

01Final list

The leading AIs each built their own list of ten independently. Here is one result that is easy to check: every place has a reason, a source, and the list of AIs that included it.

Order: from most to least AI agreement.

A bright badge means this AI put the entry on its list. A dim badge means it did not.

  1. 1

    Anthropic

    The only lab with revenue in an SEC filing: $16.96B in Q3, about $67.8B a year. That puts its $965B May price at about 14x.

    Included it: Meta, Nemotron, Nova, Claude, ChatGPT, StepFun, DeepSeek, Kimi. Did not include: Wenxin, Qwen.

    In their lists: Meta: 1 · Nemotron: 2 · Nova: 3 · Claude: 1 · ChatGPT: 1 · StepFun: 2 · DeepSeek: 2 · Kimi: 2

    What each AI noted 8
    • Metaplace 1

      Filed $33.2B in nine months - the only lab whose revenue is in an S-1 - at about 14x Q3-annualised sales.

      Source ↗
    • Nemotronplace 2

      $40B valuation / $1B ARR = 40× multiple; $800M ARR confirmed in company memo, stronger disclosure than peers

    • Novaplace 3

      $965B valuation on $47B revenue run-rate (20.5x) after $65B Series H

      Source ↗
    • Claudeplace 1

      About 15x its $65B run rate at the $965B May price, and the one lab whose revenue is backed by a (confidential) IPO filing. At the $1.5T IPO target it would be about 23x.

      Source ↗
    • ChatGPTplace 1

      A $965 billion financing price now sits beside $67.8 billion of annualized quarterly revenue in an actual SEC filing.

    • StepFunplace 2

      Roughly a seventh of OpenAI's price on a revenue number it is far less shy about.

      Source ↗
    • DeepSeekplace 2

      $965B last private mark against $67.2B annualised run-rate is 14.4x; the IPO target of $1.5T would make it 22.3x.

    • Kimiplace 2

      The only frontier lab with regulator-filed revenue - $17.0B in Q3 alone, up 1,127% y/y - yet IPO buyers are reportedly weighing $1.1T, not the $2T hoped for a month earlier.

      Source ↗
    8 AIs put it here
  2. 2

    OpenAI

    It has the freshest and biggest price: $1.25T, $150B below the $1.4T it first sought. That is about 25x a roughly $50B run rate told to investors and never filed.

    Included it: Meta, Nemotron, Nova, Claude, ChatGPT, StepFun, DeepSeek, Kimi. Did not include: Wenxin, Qwen.

    In their lists: Meta: 3 · Nemotron: 1 · Nova: 4 · Claude: 2 · ChatGPT: 3 · StepFun: 1 · DeepSeek: 1 · Kimi: 1

    What each AI noted 8
    • Metaplace 3

      $1.25T on $50B told to investors, not filed - the freshest price, the thinnest paper.

      Source ↗
    • Nemotronplace 1

      $1.25T valuation / ~$4B ARR = 312× multiple; only ~$1.6B of ARR confirmed in company blog, rest from The Information reporting

    • Novaplace 4

      $852B valuation on $25B revenue target (34x) with 900M weekly ChatGPT users

    • Claudeplace 2

      A fresh $1.25T price, down from the $1.4T–$1.5T first sought, on about $50B of run rate: roughly 25x, with no public filing behind it.

      Source ↗
    • ChatGPTplace 3

      The $1.25 trillion headline is about 25 times comparable reported annualized sales, and $150 billion below the valuation initially sought.

      Source ↗
    • StepFunplace 1

      A $1.25 trillion price resting on a revenue number the company has never filed.

      Source ↗
    • DeepSeekplace 1

      $1.25T price on ~$50B of self-stated revenue is 25x — and the “markdown” from $1.4T actually raised the price per dollar of revenue.

      Source ↗
    • Kimiplace 1

      Wired $11B of a ~$20B round at a $1.25T post-money price - 11% below the $1.4T it first sought - while the ~$50B revenue behind its ~25x multiple is a number investors were told, never filed.

      Source ↗
    8 AIs put it here
  3. 3

    Databricks

    Its company-stated run rate of more than $7B, growing over 80%, puts the $190B price at about 27x. The company published the figure, but it is unaudited and not filed.

    Included it: Meta, Nemotron, Nova, Claude, ChatGPT, StepFun, DeepSeek, Kimi. Did not include: Wenxin, Qwen.

    In their lists: Meta: 2 · Nemotron: 3 · Nova: 2 · Claude: 3 · ChatGPT: 2 · StepFun: 5 · DeepSeek: 4 · Kimi: 4

    What each AI noted 8
    • Metaplace 2

      Company itself said over $7B run-rate - 27x sales, the cleanest company-stated multiple after Anthropic.

      Source ↗
    • Nemotronplace 3

      $55B valuation / $2.4B ARR (filed) = 23× multiple; only AI-first co. with full GAAP filing via confidentially submitted S-1

    • Novaplace 2

      $134B valuation on $7B+ annualized revenue (19x) with 80% YoY growth

      Source ↗
    • Claudeplace 3

      The cleanest numbers in the list: $190B on a stated $7B run rate, about 27x, growing over 80%.

      Source ↗
    • ChatGPTplace 2

      More than $7 billion in annualized revenue supports a $190 billion price, with enterprise customers paying for data infrastructure as well as AI.

      Source ↗
    • StepFunplace 5

      The only top-ten name that puts its own revenue number in a press release.

      Source ↗
    • DeepSeekplace 4

      $190B at $7B run-rate is 27.1x — the steepest multiple among the profitable-at-scale data/AI platforms.

      Source ↗
    • Kimiplace 4

      $190B at 27x a self-reported $7B run rate - priced like a model lab while free-cash-flow positive, on numbers a public competitor's auditors would never sign off.

      Source ↗
    8 AIs put it here
  4. 4

    Scale AI

    The $29B is Meta's June 2025 price, now 17 months old. On the roughly $1B revenue the CEO told Forbes, that is 29x, and one secondary-market estimate puts it at $15.7B.

    Included it: Meta, Nemotron, Nova, Claude, ChatGPT, StepFun, DeepSeek, Kimi. Did not include: Wenxin, Qwen.

    In their lists: Meta: 4 · Nemotron: 5 · Nova: 1 · Claude: 4 · ChatGPT: 6 · StepFun: 8 · DeepSeek: 9 · Kimi: 7

    What each AI noted 8
    • Metaplace 4

      A $29B price frozen since June 2025, now chasing just over $1B of company-told revenue.

      Source ↗
    • Nemotronplace 5

      $14B valuation / $800M ARR (company) = 17.5× multiple; profitable per company statement, rare in cohort

    • Novaplace 1

      $29B valuation on $2B projected revenue (14.5x) with Meta’s $14.3B stake

      Source ↗
    • Claudeplace 4

      A $29B price set by Meta's 2025 stake, so the price is 16 months old.

      Source ↗
    • ChatGPTplace 6

      A $29 billion headline financing value contrasts with a $15.7 billion estimated secondary-market value.

    • StepFunplace 8

      The only top-ten name whose majority owner is a strategic buyer, not a fund.

      Source ↗
    • DeepSeekplace 9

      $29B from Meta’s 2025 stake, against ~$1B of 2026 revenue guidance, is ~29x — a stale price sitting next to fresh 2026 rounds.

      Source ↗
    • Kimiplace 7

      ~$29B is a 17-month-old strategic mark set by Meta buying 49% - the same deal that drove away Google, OpenAI and xAI, the very revenue being priced.

    8 AIs put it here
  5. 5

    xAI (SpaceX AI)

    Its 2025 AI revenue of $3.2B is filed inside SpaceX's S-1, but the $250B price ended with the February merger. On that base the price is about 78x, and the segment mixes X ads with compute rental.

    Included it: Meta, Nemotron, Nova, Claude, ChatGPT, StepFun, DeepSeek, Kimi. Did not include: Wenxin, Qwen.

    In their lists: Meta: 6 · Nemotron: 4 · Nova: 5 · Claude: 7 · ChatGPT: 4 · StepFun: 4 · DeepSeek: 3 · Kimi: 3

    What each AI noted 8
    • Metaplace 6

      Filed $3.2B in 2025 inside SpaceX's S-1, but its $230B standalone price died in the February merger.

      Source ↗
    • Nemotronplace 4

      $50B valuation / $100M ARR = 500× multiple; revenue almost entirely third-party estimates, no company disclosure

    • Novaplace 5

      $250B embedded valuation inside SpaceX with $500M standalone revenue (500x)

    • Claudeplace 7

      Has no standalone price since SpaceX absorbed it on 2 Feb 2026; sources quote $230B, $50B and about $500M revenue.

      Source ↗
    • ChatGPTplace 4

      The $250 billion transaction value belongs to the AI business acquired by SpaceX, not to a standalone company still raising independently.

      Source ↗
    • StepFunplace 4

      A price that assumes Colossus turns into a business before the building depreciates.

    • DeepSeekplace 3

      $230B standalone mark on $10.24B annualised SpaceX-filing revenue is 22.5x — but on the old ~$500M standalone run-rate it was ~460x.

      Source ↗
    • Kimiplace 3

      Marked at $250B when SpaceX absorbed it in Feb 2026 - and now earns more renting Colossus to rivals (~$1.6B of Q2 revenue from Anthropic and Google) than from Grok itself.

      Source ↗
    8 AIs put it here
  6. 6

    Perplexity

    Last closed at $20B in September 2025. Its revenue, about $750M, is reported only by others: 27x at the closed price, 40x at the $30B-plus talks.

    Included it: Meta, Nemotron, Nova, Claude, ChatGPT, StepFun, DeepSeek, Kimi. Did not include: Wenxin, Qwen.

    In their lists: Meta: 5 · Nemotron: 6 · Nova: 7 · Claude: 5 · ChatGPT: 7 · StepFun: 7 · DeepSeek: 8 · Kimi: 10

    What each AI noted 8
    • Metaplace 5

      $20B price is 14 months old, while reported revenue tripled to $750M - the price is stale, the growth is not.

      Source ↗
    • Nemotronplace 6

      $9B valuation / $100M ARR = 90× multiple; $50M ARR confirmed in company tweet, rest from leaks

    • Novaplace 7

      ~$20B valuation with answer-engine revenue not publicly broken out

      Source ↗
    • Claudeplace 5

      About $21–23B against a revenue target (not a run rate) of $656M for 2026: roughly 32x–35x.

      Source ↗
    • ChatGPTplace 7

      An estimated $750 million revenue run rate is growing against a $20 billion completed price, while a higher $30 billion-plus financing was only under discussion.

      Source ↗
    • StepFunplace 7

      A higher price-to-revenue than OpenAI on reported numbers, for a product that is still a search box.

      Source ↗
    • DeepSeekplace 8

      A reported >$30B price on >$750M annualised revenue is ~40x — the multiple barely moved even as revenue tripled.

      Source ↗
    • Kimiplace 10

      $20B last mark with $30B IPO-talk against a ~$750M run rate - roughly 27-40x revenue for an answer engine still renting CoreWeave clusters to keep up.

      Source ↗
    8 AIs put it here
  7. 7

    Mistral AI

    Over €21B (about $24B), set in September, on a $400M run rate stated by its CEO. That is about 60x, or 24x if the $1B year-end target is reached.

    Included it: Meta, Nemotron, Nova, Claude, ChatGPT, StepFun, DeepSeek, Kimi. Did not include: Wenxin, Qwen.

    In their lists: Meta: 8 · Nemotron: 7 · Nova: 6 · Claude: 6 · ChatGPT: 5 · StepFun: 6 · DeepSeek: 10 · Kimi: 9

    What each AI noted 8
    • Metaplace 8

      Over €21B on a €1B forecast that has not happened yet - the multiple is a promise, not a filing.

      Source ↗
    • Nemotronplace 7

      $6B valuation / $50M ARR = 120× multiple; €50M ARR stated in French regulatory filing (AMF), strong disclosure for EU co.

    • Novaplace 6

      $14B valuation on $100M ARR (140x) with open-weight model strategy

      Source ↗
    • Claudeplace 6

      The highest estimated multiple with any revenue figure: about 60x on a roughly $400M estimate.

      Source ↗
    • ChatGPTplace 5

      Europe's €21 billion-plus frontier-model company has a roughly $400 million revenue estimate, making its price unusually sensitive to growth.

      Source ↗
    • StepFunplace 6

      Europe's price tag on a revenue number the company only gestures at.

      Source ↗
    • DeepSeekplace 10

      $24B at $400M trailing ARR is ~60x; on the company’s $1B 2026 target it is ~24x — the gap is the whole growth bet.

      Source ↗
    • Kimiplace 9

      Europe's champion at ~$24B post-money - about 24x the $1B revenue it hopes to reach by year-end, and ~60x the $400M run rate it last actually stated.

    8 AIs put it here
  8. 8

    Thinking Machines Lab

    A $40B pre-money round was reported closing in November but is not yet confirmed. On a reported $100M-plus run rate that is about 400x, against 120x at its $12B seed.

    Included it: Meta, Nemotron, Nova, Claude, ChatGPT, StepFun, DeepSeek, Kimi. Did not include: Wenxin, Qwen.

    In their lists: Meta: 9 · Nemotron: 9 · Nova: 8 · Claude: 9 · ChatGPT: 8 · StepFun: 10 · DeepSeek: 6 · Kimi: 5

    What each AI noted 8
    • Metaplace 9

      $40B talks on over $100M reported revenue - 400x sales, the thinnest revenue base in the top 10.

      Source ↗
    • Nemotronplace 9

      $9B valuation / $10M ARR = 900× multiple; minimal revenue from Mira Murati's stealth launch, valuation on team pedigree

    • Novaplace 8

      $12B valuation from $2B seed round with no product revenue yet

      Source ↗
    • Claudeplace 9

      Last priced at about $12B on roughly $2B raised in 2025, with no 2026 revenue found.

      Source ↗
    • ChatGPTplace 8

      A proposed $40 billion pre-money price is roughly 400 times a reported $100 million-plus revenue run rate, before the round has closed.

      Source ↗
    • StepFunplace 10

      $10B for a seed round and a research blog.

      Source ↗
    • DeepSeekplace 6

      $40B pre-money on just over $100M annualised revenue is a ~400x multiple — one of the highest ever seen in the AI cycle.

      Source ↗
    • Kimiplace 5

      Closing $5B at a $40B pre-money price - over 400x a reported >$100M run rate - nine months after its own $50B round talks collapsed.

      Source ↗
    8 AIs put it here
  9. 9

    Safe Superintelligence (SSI)

    Valued at $32B (April 2025) with about 50 staff, no product and no revenue, so there is nothing published to rest on. Nvidia's $5B in July came at undisclosed terms.

    Included it: Meta, Nemotron, Nova, Claude, ChatGPT, StepFun, DeepSeek, Kimi. Did not include: Wenxin, Qwen.

    In their lists: Meta: 10 · Nemotron: 8 · Nova: 9 · Claude: 10 · ChatGPT: 9 · StepFun: 9 · DeepSeek: 7 · Kimi: 6

    What each AI noted 8
    • Metaplace 10

      $32B, no product, no revenue, no paper - the price rests entirely on who Sutskever is.

    • Nemotronplace 8

      $30B valuation / $0 revenue = ∞ multiple; pre-revenue by design, valuation purely on talent bet

    • Novaplace 9

      $32B valuation for pure research with no revenue or product

      Source ↗
    • Claudeplace 10

      About $32B for a lab with no product and no disclosed revenue: the price rests wholly on belief.

      Source ↗
    • ChatGPTplace 9

      A $32 billion disclosed financing value and a $50.4 billion model estimate coexist without a publicly established commercial revenue denominator.

      Source ↗
    • StepFunplace 9

      No revenue, no filings, no problem - the whole price is one person and a thesis.

      Source ↗
    • DeepSeekplace 7

      $32B, roughly 50 employees, no product and zero revenue — the purest valuation-on-promise in the table.

      Source ↗
    • Kimiplace 6

      $32B for roughly 50 employees, no product and no published research - the only entry whose price rests on zero published revenue of any kind.

      Source ↗
    8 AIs put it here
  10. 10

    Google DeepMind

    Alphabet files audited accounts, but none of them split out DeepMind, so it has no price of its own. The ~$100B sum-of-parts figure is one analyst estimate.

    Included it: Meta, Claude, StepFun, DeepSeek, Wenxin, Qwen. Did not include: Nemotron, Nova, ChatGPT, Kimi.

    In their lists: Meta: 7 · Claude: 8 · StepFun: 3 · DeepSeek: 5 · Wenxin: 9 · Qwen: 10

    What each AI noted 6
    • Metaplace 7

      Alphabet is fully filed, DeepMind is not - you cannot buy DeepMind's price because there is none.

      Source ↗
    • Claudeplace 8

      Has no price of its own: Alphabet's public filings are the only disclosure, and they do not split out DeepMind.

      Source ↗
    • StepFunplace 3

      The only top-ten name a regulator actually audits, and the only one whose AI revenue is never split out.

      Source ↗
    • DeepSeekplace 5

      No standalone round and no separate revenue line: a $100B sum-of-parts estimate sits inside a $4T+ Alphabet, so the “valuation” is an analyst construction, not a traded price.

      Source ↗
    • Wenxinplace 9

      No stand-alone price — Alphabet's 2.1 T cap includes DeepMind, but 30 B AI revenue gives the unit an implied ~70×

    • Qwenplace 10

      An internal Alphabet engine with bundled revenue, making standalone price-to-earnings multiples impossible.

      Source ↗
    6 AIs put it here

More about the top three ↓

02More about the top three

The ranking is above. Here is more about the three places at the top: what they are, why they are here, and what is worth knowing.

The three multiples are not like for like: Anthropic's revenue comes from an SEC filing, OpenAI's was told to investors and never filed, and Databricks' is a company-stated, unaudited run rate.

1Anthropic

No. 1 — Anthropic. On the lists of 8 of 10 AIs; median place there: 2. Its revenue sits in an SEC filing, so its roughly 14x multiple is the best backed by paper.

Did you know

  • "Routines" has been renamed "scheduled tasks" in the docs, but the old name survives in the web address, the CLI and the API. Because the work runs in a cloud session, it keeps going when your laptop is closed.

What it is
AI lab behind Claude, priced at $965B in May.
Its edge
Only one of the three whose revenue appears in a regulator filing.
Who should know
Useful for anyone who wants to see what a price looks like next to filed revenue.
  • Price vs published revenueabout 14x

Wikipedia · Wikidata

Why it is here
  • The same filing lists about $895.4 billion in compute and data-center commitments. That is a large bill next to the revenue, and it is stated in a regulator filing, which no other company in this top three has.

Did you know
  • Anthropic's docs say a cloud task can start three ways: on a schedule, from an HTTP call, or from a GitHub event. Scheduled runs are limited to 100 per hour per account, and any schedule that runs more often than hourly is rejected.

History
  • On January 12, 2026, Anthropic released Cowork as a research preview, first only for Max subscribers on macOS. Anthropic had seen people using its coding tool, Claude Code, for almost everything else, so it built Cowork as a simpler version for anyone. — neutral narrator

Keep in mind
  • The review calls usage limits the main frustration. Cowork shares a five-hour and a weekly allowance, so heavy use hits the cap faster than normal chat.

  • Scheduled Cowork tasks only run while the app is open and your computer is awake. If you close the laptop, a run waits until you reopen it.

What people say
  • the first desktop agent that's earned a place in a normal, non-technical workflow — go9x Cowork review

Where to go further
  • Read Anthropic's official docs on scheduled tasks. First look at the 'Create from the web' steps and the 'Usage and limits' table to see how many runs your plan allows.

Compare the top three ↓

2OpenAI

No. 2 — OpenAI. On the lists of 8 of 10 AIs; median place there: 1.5. It has the biggest, freshest price, but its roughly $50B revenue was only told to investors and never filed.

Did you know

  • After OpenAI's October 2025 restructuring, a nonprofit, the OpenAI Foundation, controls the for-profit company. Its stake was reported at about $130 billion, close to Microsoft's roughly $135 billion stake, so a charity-style body owns a giant slice.

What it is
Maker of ChatGPT, priced at $1.25T.
Its edge
Largest price of the three, though not the cheapest per dollar of revenue.
Who should know
Useful for seeing how a huge price can rest on an unfiled number.
  • Price vs published revenueabout 25x

Wikipedia · Wikidata

History
  • In November 2023 OpenAI's board fired its CEO, Sam Altman. Most staff threatened to leave, and less than a week later he was back as CEO with a new board.

Where to go further
  • Open the ChatGPT plans page and compare the free plan with the paid ones. Look at what each plan includes and what it costs per month. This shows what a regular user pays for the product that the valuation is built on.

Nemotron, StepFun, DeepSeek, Kimi put it first. What they saw in it
  • Nemotron: $1.25T valuation / ~$4B ARR = 312× multiple; only ~$1.6B of ARR confirmed in company blog, rest from The Information reporting

  • StepFun: A $1.25 trillion price resting on a revenue number the company has never filed.

  • DeepSeek: $1.25T price on ~$50B of self-stated revenue is 25x — and the “markdown” from $1.4T actually raised the price per dollar of revenue.

  • Kimi: Wired $11B of a ~$20B round at a $1.25T post-money price - 11% below the $1.4T it first sought - while the ~$50B revenue behind its ~25x multiple is a number investors were told, never filed.

Compare the top three ↓

3Databricks

No. 3 — Databricks. On the lists of 8 of 10 AIs; median place there: 3. The company published its own $7B-plus run rate, which gives about 27x, but the figure is unaudited and not filed.

DatabricksBooth
Raysonho @ Open Grid Scheduler / Scalable Grid Engine · CC0 · Wikimedia Commons

Did you know

  • Databricks bought the open-source AI startup MosaicML for $1.4 billion, according to Wikipedia. The Reuters article it cites says $1.3 billion, so the two sources disagree.

What it is
Data and AI platform company, priced at $190B.
Its edge
Publishes its own revenue figure, and it is growing over 80%.
Who should know
Useful for seeing what a price looks like when revenue is company-stated, not audited.
  • Price vs published revenueabout 27x

Wikipedia · Wikidata

Why it is here
  • The $190 billion price is about 42% above the roughly $134 billion mark from its February round. The revenue figures come from the company and are not audited public results.

Did you know
  • Databricks' open model DBRX has 136 billion parameters, but uses only about 36 billion on average to produce an answer. The article says it cost $10 million to create.

History
  • Databricks was founded in 2013 by the people behind Apache Spark, a data tool built at the University of California, Berkeley. It started as a university research project before it became a company.

Keep in mind
  • The $7 billion run rate and growth above 80% are company-reported, not audited. At $190B, that is about 27 times revenue, which leaves little room for slower growth.

  • Databricks has multibillion-dollar cloud commitments with all three big cloud providers, and its AI research is costly. Selling more shares to meet demand may upset older investors who were turned away.

What people say
  • The interest level was just insane. — Ali Ghodsi, Databricks CEO

Where to go further
  • Read the trial page first: it gives two weeks of full platform access with up to $400 in free usage. There is also a Free Edition with no expiration date.

Compare the top three ↓

The top three side by side

AnthropicOpenAIDatabricks
In the AIs' lists8 / 108 / 108 / 10
Price vs published revenueabout 14xabout 25xabout 27x
Put first byMeta, Claude, ChatGPTNemotron, StepFun, DeepSeek, Kimi—

Places with the same number of AIs are ordered by their average place in the AIs' own lists.

03Worth knowing

What the AIs noticed while building the list.

OpenAI raised $11B at $1.25T, below the $1.4T it first sought, yet the price is still about 47% above March's $852B.

Noticed by:
Included it: Meta, Claude, ChatGPT, DeepSeek, Kimi, Qwen. Did not include: Nemotron, Nova, StepFun, Wenxin.
Source ↗

OpenAI's revenue was revised from about $70B to about $50B, largely over how cloud-partner sales are counted. Anthropic books such sales gross, so the two revenue lines are not like for like.

Noticed by:
Included it: Meta, ChatGPT, DeepSeek, Kimi. Did not include: Nemotron, Nova, Claude, StepFun, Wenxin, Qwen.
Source ↗

Anthropic's IPO talk fell from about $2T in early October to $1.2T–$1.3T on 6 November. That is talk, not a priced deal.

Noticed by:
Included it: Meta, Claude, Kimi, Qwen. Did not include: Nemotron, Nova, ChatGPT, StepFun, DeepSeek, Wenxin.
Source ↗

Scale AI's $29B Meta-set price stands against a $15.7B secondary-market estimate, which shows how stale private prices drift.

Noticed by:
Included it: ChatGPT, DeepSeek, Kimi. Did not include: Meta, Nemotron, Nova, Claude, StepFun, Wenxin, Qwen.
Source ↗

SSI is valued at $32B with about 50 employees, no product and zero revenue.

Noticed by:
Included it: Meta, Claude, DeepSeek, Kimi, Qwen. Did not include: Nemotron, Nova, ChatGPT, StepFun, Wenxin.
Source ↗

04Questions people ask

OpenAI vs Anthropic valuation

OpenAI's latest price is $1.25T (first close on 6 Nov 2026). Anthropic's last completed round was $965B post-money in May 2026.

Source ↗
OpenAI vs Anthropic value

Per dollar of revenue, Anthropic is cheaper: about 14x its filed $67.8B annualised Q3 revenue, against OpenAI's about 25x on a roughly $50B run rate told to investors.

OpenAI vs Anthropic IPO valuation

Anthropic filed its amended S-1 on 2 Nov 2026 without a price, and talk is $1.2T–$1.3T, down from about $2T. OpenAI has no public filing; its $1.25T is a private round.

Source ↗
Anthropic vs OpenAI valuation: why do the multiples differ by source?

OpenAI's revenue is quoted as about $50B or $70B depending on how cloud-partner sales are counted, so the same $1.25T price is about 25x or 18x.

Source ↗

05How we counted

In plain words, no formulas.

1The question

Top 10 Most Valuable AI Companies: How Much of Each Price Rests on Numbers the Company Has Published

2Why this topic

The well-known list of the most valuable AI companies, reordered by what each company has actually put on record, which no valuation table shows.

3Where it applies

Global. AI labs and AI-first companies with a reported valuation in 2026: OpenAI, Anthropic, xAI, Google DeepMind (inside Alphabet), Mistral, SSI, Thinking Machines, Perplexity, Databricks, Scale and others that make the cut

4What we looked at

  • Latest reported valuation (pre-money or post-money stated each time) divided by the latest annualised revenue
  • Disclosure score: revenue, margins and losses filed with a regulator, stated by the company, or only reported by others
  • Size and date of the latest round, so a stale price is not ranked next to a fresh one
  • Anthropic SEC Form S-1/A (2 Nov 2026) — Revenue, operating results, losses and commitments filed with a regulator
  • Company announcements (Databricks, Anthropic Series H, Mistral, OpenAI) — Valuations, round sizes and run rates that the companies stated themselves
  • Funding-round reports (24/7 Wall St, TechCrunch, Bloomberg) — Latest reported valuation, round size and the price first sought
  • Reuters / FT on OpenAI revenue — Annualised revenue told to investors, about $50B comparable against an earlier ~$70B figure
  • Sacra third-party estimates — Outside revenue estimates for private labs (Perplexity, Mistral, Scale, xAI)

5Who ranked

The leading AIs, each building its own list of ten independently and naming a source for every place: Meta, Nemotron, Nova, Claude, ChatGPT, StepFun, DeepSeek, Kimi, Wenxin, Qwen.

6How the places were set

The same entry written differently by different AIs was counted as one. The more AIs put an entry on their list, and the higher they put it, the higher its place. "AI agreement" shows how many of the AIs had it on their own list. Sources are only those the AIs found themselves; nothing was added by hand.

06Each AI's own list

🇺🇸 Meta10 places · 3 notes

The same question, answered by Meta alone. The final list above combines all the AIs.

  1. 1
    Anthropic

    Filed $33.2B in nine months - the only lab whose revenue is in an S-1 - at about 14x Q3-annualised sales.

    Source ↗
  2. 2
    Databricks

    Company itself said over $7B run-rate - 27x sales, the cleanest company-stated multiple after Anthropic.

    Source ↗
  3. 3
    OpenAI

    $1.25T on $50B told to investors, not filed - the freshest price, the thinnest paper.

    Source ↗
  4. 4
    Scale AI

    A $29B price frozen since June 2025, now chasing just over $1B of company-told revenue.

    Source ↗
  5. 5
    Perplexity

    $20B price is 14 months old, while reported revenue tripled to $750M - the price is stale, the growth is not.

    Source ↗
  6. 6
    xAI (SpaceX AI)

    Filed $3.2B in 2025 inside SpaceX's S-1, but its $230B standalone price died in the February merger.

    Source ↗
  7. 7
    Google DeepMind (inside Alphabet)

    Alphabet is fully filed, DeepMind is not - you cannot buy DeepMind's price because there is none.

    Source ↗
  8. 8
    Mistral AI

    Over €21B on a €1B forecast that has not happened yet - the multiple is a promise, not a filing.

    Source ↗
  9. 9
    Thinking Machines Lab

    $40B talks on over $100M reported revenue - 400x sales, the thinnest revenue base in the top 10.

    Source ↗
  10. 10
    Safe Superintelligence (SSI)

    $32B, no product, no revenue, no paper - the price rests entirely on who Sutskever is.

What Meta noticed

Anthropic is the disclosure outlier: its S-1 gives $4.6B for 2025 and $33.2B for nine months of 2026, while OpenAI's $50B is only investor-told and reported by the FT.

OpenAI closed $11B at $1.25T on 6 Nov, well below the $1.4T / $30B it first sought - a $150B haircut in the same round.

SSI shows the limit of price-to-revenue: $32B divided by $0 revenue, with Nvidia's $5B buying a 10x compute jump, not a product.

🇺🇸 Nemotron10 places

The same question, answered by Nemotron alone. The final list above combines all the AIs.

  1. 1
    OpenAI (2026)

    $1.25T valuation / ~$4B ARR = 312× multiple; only ~$1.6B of ARR confirmed in company blog, rest from The Information reporting

  2. 2
    Anthropic (2026)

    $40B valuation / $1B ARR = 40× multiple; $800M ARR confirmed in company memo, stronger disclosure than peers

  3. 3
    Databricks (2026)

    $55B valuation / $2.4B ARR (filed) = 23× multiple; only AI-first co. with full GAAP filing via confidentially submitted S-1

  4. 4
    xAI (2026)

    $50B valuation / $100M ARR = 500× multiple; revenue almost entirely third-party estimates, no company disclosure

  5. 5
    Scale AI (2026)

    $14B valuation / $800M ARR (company) = 17.5× multiple; profitable per company statement, rare in cohort

  6. 6
    Perplexity (2026)

    $9B valuation / $100M ARR = 90× multiple; $50M ARR confirmed in company tweet, rest from leaks

  7. 7
    Mistral AI (2026)

    $6B valuation / $50M ARR = 120× multiple; €50M ARR stated in French regulatory filing (AMF), strong disclosure for EU co.

  8. 8
    SSI (Safe Superintelligence) (2026)

    $30B valuation / $0 revenue = ∞ multiple; pre-revenue by design, valuation purely on talent bet

  9. 9
    Thinking Machines Lab (2026)

    $9B valuation / $10M ARR = 900× multiple; minimal revenue from Mira Murati's stealth launch, valuation on team pedigree

  10. 10
    Cohere (2026)

    $5.5B valuation / $150M ARR = 37× multiple; $120M ARR in company blog, enterprise focus shows in lower multiple

🇺🇸 Nova10 places · 3 notes

The same question, answered by Nova alone. The final list above combines all the AIs.

  1. 1
    Scale AI

    $29B valuation on $2B projected revenue (14.5x) with Meta’s $14.3B stake

    Source ↗
  2. 2
    Databricks

    $134B valuation on $7B+ annualized revenue (19x) with 80% YoY growth

    Source ↗
  3. 3
    Anthropic

    $965B valuation on $47B revenue run-rate (20.5x) after $65B Series H

    Source ↗
  4. 4
    OpenAI

    $852B valuation on $25B revenue target (34x) with 900M weekly ChatGPT users

  5. 5
    xAI

    $250B embedded valuation inside SpaceX with $500M standalone revenue (500x)

  6. 6
    Mistral AI

    $14B valuation on $100M ARR (140x) with open-weight model strategy

    Source ↗
  7. 7
    Perplexity AI

    ~$20B valuation with answer-engine revenue not publicly broken out

    Source ↗
  8. 8
    Thinking Machines Lab

    $12B valuation from $2B seed round with no product revenue yet

    Source ↗
  9. 9
    Safe Superintelligence (SSI)

    $32B valuation for pure research with no revenue or product

    Source ↗
  10. 10
    Cerebras

    $95B market cap as wafer-scale chip IPO with limited revenue disclosure

    Source ↗

What Nova noticed

Anthropic’s $47B revenue run-rate stunned observers and gave it both the highest valuation and the strongest revenue disclosure among private labs

Scale AI’s $2B revenue projection comes from analyst models, not company filings, placing it below Databricks and Anthropic in transparency despite a low 14.5x ratio

OpenAI’s 34x ratio reflects massive compute costs; its $14B projected 2026 loss makes profitability unlikely before 2029

🇺🇸 Claude10 places · 3 notes

The same question, answered by Claude alone. The final list above combines all the AIs.

  1. 1
    Anthropic

    About 15x its $65B run rate at the $965B May price, and the one lab whose revenue is backed by a (confidential) IPO filing. At the $1.5T IPO target it would be about 23x.

    Source ↗
  2. 2
    OpenAI

    A fresh $1.25T price, down from the $1.4T–$1.5T first sought, on about $50B of run rate: roughly 25x, with no public filing behind it.

    Source ↗
  3. 3
    Databricks

    The cleanest numbers in the list: $190B on a stated $7B run rate, about 27x, growing over 80%.

    Source ↗
  4. 4
    Scale AI

    A $29B price set by Meta's 2025 stake, so the price is 16 months old.

    Source ↗
  5. 5
    Perplexity

    About $21–23B against a revenue target (not a run rate) of $656M for 2026: roughly 32x–35x.

    Source ↗
  6. 6
    Mistral AI

    The highest estimated multiple with any revenue figure: about 60x on a roughly $400M estimate.

    Source ↗
  7. 7
    xAI (inside SpaceX)

    Has no standalone price since SpaceX absorbed it on 2 Feb 2026; sources quote $230B, $50B and about $500M revenue.

    Source ↗
  8. 8
    Google DeepMind (inside Alphabet)

    Has no price of its own: Alphabet's public filings are the only disclosure, and they do not split out DeepMind.

    Source ↗
  9. 9
    Thinking Machines Lab

    Last priced at about $12B on roughly $2B raised in 2025, with no 2026 revenue found.

    Source ↗
  10. 10
    Safe Superintelligence (SSI)

    About $32B for a lab with no product and no disclosed revenue: the price rests wholly on belief.

    Source ↗

What Claude noticed

OpenAI's price rose 46.7% from March's $852B, yet it still fell short of the $30B it wanted to raise and the $1.4T–$1.5T it first sought.

On run rate, Anthropic (about $65B) now earns more than OpenAI (about $50B), but OpenAI is priced about $285B higher than Anthropic's last round.

Anthropic's valuation almost tripled in about three months, from $380B in February to $965B in May, while investors now debate $1.1T–$1.6T for the IPO, well below earlier talk of $2T.

🇺🇸 ChatGPT10 places · 2 notes

The same question, answered by ChatGPT alone. The final list above combines all the AIs.

  1. 1
    Anthropic (2026)

    A $965 billion financing price now sits beside $67.8 billion of annualized quarterly revenue in an actual SEC filing.

  2. 2
    Databricks (2026)

    More than $7 billion in annualized revenue supports a $190 billion price, with enterprise customers paying for data infrastructure as well as AI.

    Source ↗
  3. 3
    OpenAI (2026)

    The $1.25 trillion headline is about 25 times comparable reported annualized sales, and $150 billion below the valuation initially sought.

    Source ↗
  4. 4
    xAI / Grok (2026)

    The $250 billion transaction value belongs to the AI business acquired by SpaceX, not to a standalone company still raising independently.

    Source ↗
  5. 5
    Mistral AI (France, 2026)

    Europe's €21 billion-plus frontier-model company has a roughly $400 million revenue estimate, making its price unusually sensitive to growth.

    Source ↗
  6. 6
    Scale AI (2026)

    A $29 billion headline financing value contrasts with a $15.7 billion estimated secondary-market value.

  7. 7
    Perplexity AI (2026)

    An estimated $750 million revenue run rate is growing against a $20 billion completed price, while a higher $30 billion-plus financing was only under discussion.

    Source ↗
  8. 8
    Thinking Machines Lab (2026)

    A proposed $40 billion pre-money price is roughly 400 times a reported $100 million-plus revenue run rate, before the round has closed.

    Source ↗
  9. 9
    Safe Superintelligence (SSI, 2026)

    A $32 billion disclosed financing value and a $50.4 billion model estimate coexist without a publicly established commercial revenue denominator.

    Source ↗
  10. 10
    CoreWeave (United States, 2026)

    A $104.2 billion contracted revenue backlog is substantially larger than its $10.3 billion annualized second-quarter sales.

What ChatGPT noticed

OpenAI's latest $1.25 trillion pre-money price is $150 billion below its reported original target, yet approximately 47% above its March $852 billion post-money valuation.

Thinking Machines' proposed $40 billion valuation is not yet a completed financing price; using it as a closed-round valuation would exaggerate the certainty of the comparison.

🇨🇳 StepFun10 places · 4 notes

The same question, answered by StepFun alone. The final list above combines all the AIs.

  1. 1
    OpenAI (ChatGPT) 2026

    A $1.25 trillion price resting on a revenue number the company has never filed.

    Source ↗
  2. 2
    Anthropic (Claude) 2026

    Roughly a seventh of OpenAI's price on a revenue number it is far less shy about.

    Source ↗
  3. 3
    Google DeepMind (inside Alphabet)

    The only top-ten name a regulator actually audits, and the only one whose AI revenue is never split out.

    Source ↗
  4. 4
    xAI (Grok) 2026

    A price that assumes Colossus turns into a business before the building depreciates.

  5. 5
    Databricks 2026

    The only top-ten name that puts its own revenue number in a press release.

    Source ↗
  6. 6
    Mistral AI 2026

    Europe's price tag on a revenue number the company only gestures at.

    Source ↗
  7. 7
    Perplexity AI 2026

    A higher price-to-revenue than OpenAI on reported numbers, for a product that is still a search box.

    Source ↗
  8. 8
    Scale AI 2026

    The only top-ten name whose majority owner is a strategic buyer, not a fund.

    Source ↗
  9. 9
    Safe Superintelligence (SSI) 2026

    No revenue, no filings, no problem - the whole price is one person and a thesis.

    Source ↗
  10. 10
    Thinking Machines Lab 2026

    $10B for a seed round and a research blog.

    Source ↗

What StepFun noticed

The two names people compare most sit at opposite ends of the disclosure scale: OpenAI's $1.25T rests on a revenue figure only the press reports, while Alphabet's books are audited but never split out DeepMind - so the audited number and the relevant number are not the same number.

Perplexity trades at a steeper price-to-revenue than OpenAI (roughly 130x against roughly 96x on reported figures), which is what a small fresh mark does to a multiple when the revenue base is still tiny.

Two of the ten (SSI and Thinking Machines) carry a combined $15B valuation on zero published revenue, and both marks are the oldest in the list - the purest narrative prices in the ranking are also the stalest.

Databricks is the only top-ten company that publishes its own revenue run-rate ($3.7B in 2025), which makes it simultaneously the cheapest and the best-evidenced large mark in the group.

🇨🇳 DeepSeek10 places · 4 notes

The same question, answered by DeepSeek alone. The final list above combines all the AIs.

  1. 1
    OpenAI (2026)

    $1.25T price on ~$50B of self-stated revenue is 25x — and the “markdown” from $1.4T actually raised the price per dollar of revenue.

    Source ↗
  2. 2
    Anthropic (2026)

    $965B last private mark against $67.2B annualised run-rate is 14.4x; the IPO target of $1.5T would make it 22.3x.

  3. 3
    xAI (2026)

    $230B standalone mark on $10.24B annualised SpaceX-filing revenue is 22.5x — but on the old ~$500M standalone run-rate it was ~460x.

    Source ↗
  4. 4
    Databricks (2026)

    $190B at $7B run-rate is 27.1x — the steepest multiple among the profitable-at-scale data/AI platforms.

    Source ↗
  5. 5
    Google DeepMind (2026)

    No standalone round and no separate revenue line: a $100B sum-of-parts estimate sits inside a $4T+ Alphabet, so the “valuation” is an analyst construction, not a traded price.

    Source ↗
  6. 6
    Thinking Machines Lab (2026)

    $40B pre-money on just over $100M annualised revenue is a ~400x multiple — one of the highest ever seen in the AI cycle.

    Source ↗
  7. 7
    Safe Superintelligence (SSI) (2026)

    $32B, roughly 50 employees, no product and zero revenue — the purest valuation-on-promise in the table.

    Source ↗
  8. 8
    Perplexity (2026)

    A reported >$30B price on >$750M annualised revenue is ~40x — the multiple barely moved even as revenue tripled.

    Source ↗
  9. 9
    Scale AI (2026)

    $29B from Meta’s 2025 stake, against ~$1B of 2026 revenue guidance, is ~29x — a stale price sitting next to fresh 2026 rounds.

    Source ↗
  10. 10
    Mistral AI (2026)

    $24B at $400M trailing ARR is ~60x; on the company’s $1B 2026 target it is ~24x — the gap is the whole growth bet.

    Source ↗

What DeepSeek noticed

OpenAI’s headline valuation fell $150B, but because reported revenue was revised from ~$70B gross to ~$50B net, the price per dollar of revenue rose from ~20x to ~25x. The “discount” was really a re-rating upward.

Anthropic is the only name in the top three with a full SEC filing. Its S-1 shows $16.3B of first-half revenue and a $974M Q2 operating profit — a rare combination of hyper-growth and a disclosed path to profitability.

SSI is valued at $32B with roughly 50 employees, no product and zero revenue. That is more than $600M of paper value per employee before a single dollar of sales.

Thinking Machines’ $40B pre-money on ~$100M of revenue is a ~400x multiple. By comparison, Databricks at $190B on $7B is 27x — the spread shows how differently the market prices “frontier lab” versus “AI infrastructure”.

🇨🇳 Kimi10 places · 4 notes

The same question, answered by Kimi alone. The final list above combines all the AIs.

  1. 1
    OpenAI

    Wired $11B of a ~$20B round at a $1.25T post-money price - 11% below the $1.4T it first sought - while the ~$50B revenue behind its ~25x multiple is a number investors were told, never filed.

    Source ↗
  2. 2
    Anthropic

    The only frontier lab with regulator-filed revenue - $17.0B in Q3 alone, up 1,127% y/y - yet IPO buyers are reportedly weighing $1.1T, not the $2T hoped for a month earlier.

    Source ↗
  3. 3
    xAI (SpaceXAI)

    Marked at $250B when SpaceX absorbed it in Feb 2026 - and now earns more renting Colossus to rivals (~$1.6B of Q2 revenue from Anthropic and Google) than from Grok itself.

    Source ↗
  4. 4
    Databricks

    $190B at 27x a self-reported $7B run rate - priced like a model lab while free-cash-flow positive, on numbers a public competitor's auditors would never sign off.

    Source ↗
  5. 5
    Thinking Machines Lab

    Closing $5B at a $40B pre-money price - over 400x a reported >$100M run rate - nine months after its own $50B round talks collapsed.

    Source ↗
  6. 6
    Safe Superintelligence (SSI)

    $32B for roughly 50 employees, no product and no published research - the only entry whose price rests on zero published revenue of any kind.

    Source ↗
  7. 7
    Scale AI

    ~$29B is a 17-month-old strategic mark set by Meta buying 49% - the same deal that drove away Google, OpenAI and xAI, the very revenue being priced.

  8. 8
    Cursor (Anysphere)

    $29.3B for $1B+ of ARR - about 29x - with reports that SpaceX, which absorbed its rival xAI, also moved to buy Cursor itself in 2026.

    Source ↗
  9. 9
    Mistral AI

    Europe's champion at ~$24B post-money - about 24x the $1B revenue it hopes to reach by year-end, and ~60x the $400M run rate it last actually stated.

  10. 10
    Perplexity

    $20B last mark with $30B IPO-talk against a ~$750M run rate - roughly 27-40x revenue for an answer engine still renting CoreWeave clusters to keep up.

    Source ↗

What Kimi noticed

The ask got cut at the top of the market: OpenAI sought $30B at $1.4T in September and wired $11B at $1.25T in November, after an AI-sector rout and post-midterm voter backlash against data centers.

Anthropic's multiple compressed from ~62x revenue (Mar 2025) to ~14x (May 2026) without any valuation cut - filed revenue simply grew into the price, the opposite of OpenAI's trajectory.

SSI at $32B is the purest faith price in the group: ~50 employees, no product, no published research, and a mark 19 months old.

xAI's filed revenue is mostly not xAI: of the AI segment's $7.56B Q3 2026, the majority came from renting Colossus capacity to Anthropic and Google - rival labs now fund each other's valuations.

🇨🇳 Wenxin10 places

The same question, answered by Wenxin alone. The final list above combines all the AIs.

  1. 1
    OpenAI 2026 (US)

    1.25 T price on a company that says it will clear 13 B revenue — but 60% of that revenue comes from third-party estimates

  2. 2
    Anthropic 2026 (US)

    Reportable60𝐵𝑣𝑎𝑙𝑢𝑎𝑡𝑖𝑜𝑛𝑤𝑖𝑡ℎ60Bvaluationwith5 B disclosed revenue gives a 12× multiple — the cleanest ratio in the top five

  3. 3
    xAI 2026 (US)

    80 B on revenue the company calls 'rapidly growing' — no published number yet, so the multiple is a guess

  4. 4
    Databricks 2026 (US)

    62𝐵𝑣𝑎𝑙𝑢𝑎𝑡𝑖𝑜𝑛𝑤𝑖𝑡ℎ62Bvaluationwith2.3 B self-reported revenue gives a 27× multiple — but it is an AI-data company, not an AI lab

    Source ↗
  5. 5
    Scale AI 2026 (US)

    14 B on 1 B self-reported revenue — a 14× multiple, the lowest-priced top-10 AI company by this measure

  6. 6
    Perplexity AI 2026 (US)

    9𝐵𝑣𝑎𝑙𝑢𝑎𝑡𝑖𝑜𝑛,<9Bvaluation,<500 M disclosed revenue — the multiple soars above 18× because the number is almost all outside guesswork

  7. 7
    Mistral AI 2026 (France)

    6 B on €400 M disclosed revenue — a 15× multiple, but European data-privacy rules keep the numbers tighter

    Source ↗
  8. 8
    Thinking Machines Lab 2026 (US)

    2.5 B on almost no disclosed revenue — a 100×+ multiple, the riskiest bet on the list

  9. 9
    Google DeepMind 2026 (inside Alphabet, US)

    No stand-alone price — Alphabet's 2.1 T cap includes DeepMind, but 30 B AI revenue gives the unit an implied ~70×

  10. 10
    SSI (SSI Inc.) 2026 (US)

    3 B valuation on 200 M disclosed revenue — a 15× multiple, a smaller bet on AI-agent software

    Source ↗
🇨🇳 Qwen10 places · 2 notes

The same question, answered by Qwen alone. The final list above combines all the AIs.

  1. 1
    OpenAI (2026)

    At $1.25 trillion, it trades at a modest 17.8x revenue multiple backed by massive enterprise adoption.

    Source ↗
  2. 2
    Anthropic (2026)

    The $965 billion pure-play leader earns its price with a highly transparent 13x revenue multiple.

    Source ↗
  3. 3
    xAI (SpaceX Super Intelligence 2026)

    Acquired by SpaceX for $250 billion, its $10 billion run-rate masks the immense cost of Colossus.

    Source ↗
  4. 4
    Databricks (2026)

    A $190 billion valuation is supported by a stated $7 billion revenue run-rate from enterprise AI agents.

    Source ↗
  5. 5
    Perplexity (2026)

    The $21.2 billion AI search engine justifies its 28x multiple with a rapidly growing $750 million run-rate.

    Source ↗
  6. 6
    Scale AI (2026)

    Frozen at a $29 billion implied valuation since Meta's 2025 deal, its $1B revenue keeps it grounded.

  7. 7
    Mistral (2026)

    Europe's champion commands a steep 57x multiple at $23 billion against a $400 million run-rate.

    Source ↗
  8. 8
    Thinking Machines Lab (2026)

    Valued at $40 billion before launching a product, relying entirely on Mira Murati's reputation.

    Source ↗
  9. 9
    Safe Superintelligence (SSI 2026)

    A $32 billion valuation for 50 employees and zero revenue rests entirely on Ilya Sutskever's promise.

    Source ↗
  10. 10
    Google DeepMind (2026)

    An internal Alphabet engine with bundled revenue, making standalone price-to-earnings multiples impossible.

    Source ↗

What Qwen noticed

SSI and Thinking Machines command multi-billion dollar compute commitments and $30B+ valuations with zero products or revenue.

OpenAI's $1.4 trillion in compute deals dwarfs its current $70 billion annualized revenue, representing 20 years of current earnings.