Why has the Buffett Indicator Been Rising for Twenty Years?

The Buffett Indicator is a broad stock-market valuation measure popularized by Warren Buffett. It compares the total value of a country's publicly traded stocks to the size of its economy, usually expressed as total U.S. stock-market capitalization ÷ U.S. GDP. For example, if the U.S. stock market is worth $60 trillion and annual GDP is $30 trillion, the Buffett Indicator would be 200%.

The basic idea is that over long periods of time, corporate value can't grow completely independently of the economy supporting it. A historically high ratio can suggest stocks are expensive relative to the economy, while a low ratio can suggest they're cheap. It may have usefulness as a long-term valuation/market-cycle indicator, but it isn't a good short-term timing signal: interest rates, globalization, corporate profit margins, and the growing overseas earnings of U.S. companies can all shift what constitutes a "normal" level.

The Buffett Indicator sits at 218 percent of GDP today. It made an all-time high of 229 in the last quarter of 2025. As a comparison, the dot-com peak, still described as the most extreme valuation in modern history, was 163.

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218.1 percent of GDP as of Jan 2026Federal Reserve Board, Financial Accounts of the United States (Z.1) · US Bureau of Economic Analysis, Gross Domestic Product

The ratio has been rising for twenty years, having broken out of its historical cycle and really only going in one direction. Are we simply due a correction after all this time? Has the usefulness of the indicator eroded? Or has the nature of markets irreversibly changed?

What Buffett actually said

The Buffett Indicator has acquired the typical fate of a useful financial idea: a short, insightful statement or concept that has had all the surrounding nuance and caveats forgotten.

The source is a December 2001 Fortune article written by Warren Buffett with Carol Loomis. Buffett described the market value of all publicly traded securities relative to GNP as "probably the best single measure of where valuations stand at any given moment."¹

He also supplied some memorable guideposts. When the ratio fell toward 70% or 80%, buying stocks was likely to work out very well. As it approached 200%, investors were "playing with fire." At the time, the ratio stood at 133%.

Those numbers are quoted regularly, but some of the nuance and caveats are important too.

First, Buffett used GNP rather than GDP. This distinction doesn't matter much since GDP and GNP mirror each other quite closely - but it is worth noting that common usage has drifted from his original intent.

Second, Buffett discussed interest rates in the same article. He called them gravity for asset prices: when rates are low, the gravitational pull on valuations is weak; when rates rise, it strengthens. The Buffett Indicator is sometimes presented today as an alternative to interest-rate-based valuation arguments, but that distinction doesn't hold up to Buffett's original article.

The third point is more consequential. Buffett treated the share of national income accruing to corporate profits as something that fluctuated within a relatively stable range and ultimately reverted toward its historical norm.

That assumption has not aged nearly as well.

Going from 112% to 218%

The history of the ratio over the past two decades is enlightening.

It stood at 112% in early 2006 and reached 121% in 2007. Then came the financial crisis. By the first quarter of 2009, the ratio had collapsed to 69%, the low since Buffett wrote about it.

From there it began a decade-long ascent. By 2019 it had reached 151%. The initial pandemic shock knocked it back to 129%, but only briefly. Twelve months later it was at 206%.

The subsequent bear market brought it down to 167% in early 2023. Then it started climbing again.

By late 2025, the ratio reached a new record of 229%. It stands at roughly 218% today.

For perspective, the average reading from 1947 through 2005 was 66%.

The average over the past twenty years has been 142%.

Something clearly changed. What, and how can we adapt how we think of the Beffet Indicator?

Two Indicators

Let's dive into some (hopefully) relatively simple math here. The headline ratio is:

But, market value is more than just an expression of the profits by those companies. Meaning that if the relationship between profits and share price were static, PE ratios would be the same for every company and would never change over time. So it can be useful to break the indicator down into two components:

So mathematically, the first term is the corporate profit share: how much of the economy's output ultimately becomes corporate profit.

The second is the multiple investors pay for those profits: market value per dollar of profit, which is effectively an aggregate price-to-earnings ratio.

By breaking the equation out into two parts, we are illustrating that part of the classical "Market Value" in the Buffett indicator is the value investors place on the profits (think of a PE ratio here), and part of it is the actual dollar value of those profits relative to GDP.

Or even more simply: Assuming profits and GDP stay the same, if investors are willing to pay an average of 20X the profit of all public companies, that will push the Buffett indicator twice as high as if investors are only willing to pay 10X the profit of all public companies. How much profit a company is making, and what investors value that profit at can be independent of each other.

Breaking profit out as a specific component of the equation can help paint a better picture than looking at "Market Value" alone.

Since the Buffett indicator effectively combines profits and valuation together into Market Value, it implies that the relationship between profits and GDP is reasonably stable.

Unfortunately for the usefulness of the indicator, that relationship hasn't been stable.

The profit share breakout

We can take after-tax corporate profits reported by the BEA and divide them by GDP, quarter by quarter, back to 1947.² During the period Buffett had available when he wrote his 2001 article, the numbers behaved remarkably well.

From 1947 through 2001, after-tax corporate profits ranged from 3.7% to 9.9% of GDP, averaging 6.3%.

Since 2010, they have ranged from 9.2% to 12.7%, averaging 10.8%.

Today the figure is approximately 12.4%.

In other words, corporate profits now absorb almost twice as much of GDP as they did, on average, during the historical period from which Buffett derived his valuation framework. The persistence is even more striking. Of the 65 quarters since 2010, 51 have produced a profit share higher than the highest single quarter recorded between 1947 and 2001.

The break began in the first quarter of 2005, when the profit share first moved above the previous historical maximum.

So what changed?

Most explanations for the Buffett Indicator's rise fall into one of two categories. Either something increased the share of GDP flowing to corporate profits, or something increased the price investors were willing to pay for those profits.

Remember our expanded equation above - since market value can be broken out into profit (and expressed as a share of GDP) and valuation, explanations will typically fall against one of the two. Keeping those two mechanisms separate makes the past twenty years considerably easier to understand.

Why profits got bigger

Fiscal deficits. One sector's deficit is another sector's surplus. When the government spends substantially more than it collects, that spending becomes income elsewhere in the economy, and some portion ultimately appears as corporate profit rather than wages.

The effect became enormous during and after the pandemic. The federal deficit reached 14.9% of GDP in 2020 and 12.4% in 2021, the two largest readings since World War II. Even after the emergency spending disappeared, deficits remained historically large. CBO projects the fiscal 2026 deficit at 5.8% of GDP.³

Lower corporate taxes. We are measuring profits after tax, so tax rates are an inherent, although implicit, part of the equation.

The 2017 Tax Cuts and Jobs Act reduced the federal statutory corporate tax rate from 35% to 21%. More broadly, corporate tax receipts have declined substantially as a share of the economy over the long run.

The math is straightforward here. If a company earns the same pre-tax profit but sends less of it to the government, after-tax profits rise. The tax code is decidedly less straightforward - so it's not a direct translation.

Globalization. There are actually two distinct globalization effects.

American corporations increasingly generate earnings from operations outside the United States. Those profits can accrue to US corporations even though much of the economic activity that produced them occurred outside US GDP.

One estimate attributes roughly two percentage points of the increase in the US profit share to the expansion of trade since the mid-1980s.⁴

The second is a measurement effect rather than a profit effect, so it belongs further down.

Cheaper debt. Low interest rates do more than raise valuation multiples. They reduce corporate interest expense.

That means rates work on both sides of the Buffett Indicator decomposition. Lower rates can increase the amount investors pay for a dollar of earnings while simultaneously increasing the earnings themselves. There is more money in the system to buy stocks (increasing prices), while the companies also make more money, because the loans they use to build out their business cost less. Lower interest rates mean lower costs, and lower costs mean more profit.

It can be easy to forget one side or the other of the interest rate factor and its impact on the complete Market Value.

Composition and concentration. The corporate sector itself has changed. Public-market value has increasingly concentrated in capital-light, high-margin businesses capable of generating enormous profits without proportionate increases in physical investment or labor.

The financial sector also matters. Despite accounting for less than a tenth of GDP, it has been credited with roughly a third of the long-run increase in the corporate profit share.

More recently, AI-driven efficiency may be adding another margin tailwind.

These all push up profit. In an admittedly oversimplified nutshell, Meta has already built out all their infrastructure for showing cat pictures to the general population, so every additional ad they can sell is pure profit. This concept applies to many of the other large companies of the last 2 decades as well.

Why investors paid more for those profits

Then there is the other half of the equation.

Interest rates. The Buffett Indicator's rise from 69% in 2009 to 151% in 2019 coincided almost perfectly with near-zero policy rates and repeated rounds of quantitative easing.

The mechanism is straightforward. A dollar earned ten years from now is worth more today when discounted at 2% than when discounted at 7%.

If one variable had to explain the extraordinary rerating of financial assets during that decade, interest rates would be the obvious candidate, but rates don't neatly tell the whole story.

The Buffett Indicator reached an all-time high of 229% in late 2025 while the federal funds rate stood at 3.50%-3.75%. The Fed raised rates aggressively, held them high, and yet the ratio eventually surpassed its zero-rate pandemic peak.

Since the correlation isn't perfect and the indicator has risen even while interest rates have risen over shorter periods of time, the increase cannot simply be "rates are low."

Flows. The structure of equity demand has changed as well.

Passive ownership of the S&P 500 has risen from roughly 18% of shares outstanding two decades ago to around 26%. Approximately $2.8 trillion has flowed into passive funds over the past decade while active funds experienced comparable outflows.

Meanwhile, corporations themselves have generally been net buyers of their own equity, with buybacks exceeding new issuance through much of the period.

Neither phenomenon changes what companies earn, but both can change what investors are willing to pay for the shares of companies generating those earnings.

Other changes

There are also forces that do not fit neatly into either bucket because they affect the relationship between US market capitalization and US GDP itself.

Foreign earnings. American listed companies sell products all over the world. Their market capitalization reflects the value of those global earnings streams, while US GDP measures production inside the United States.

This creates a structural mismatch between numerator and denominator.

The magnitude of this foreign impact isn't well-decided, perhaps in part because measurement isn't consistent. S&P Dow Jones estimated that foreign sales represented 28% of S&P 500 revenue in 2024, essentially unchanged from the previous year. Other estimates reach roughly 41%, while S&P's own estimate for 2017 was 43.6%.

The important distinction is between explaining the level and explaining the change. Foreign earnings clearly help explain why US market capitalization can remain high relative to domestic GDP. If that foreign earnings share has been relatively stable recently, however, they explain much less of the latest increase.

Foreign ownership. Foreign investors owned roughly 14% of US equities at the end of 2006. By late 2024, that figure was around 30%.

This matters conceptually: an increasing portion of the numerator represents financial claims owned outside the United States against a denominator measuring domestic production.

But causality is messy. Since 2011, much of the increase in foreign ownership has resulted from US equities outperforming rather than foreigners making enormous incremental purchases.

In that sense, foreign ownership is partly a consequence of the Buffett Indicator rising and is less useful as an explanation for why it rose.

Does the indicator actually work?

This is where the empirical record gets more interesting than the commentary surrounding it.

Swinkels and Umlauft examined market capitalization relative to GDP across fourteen developed markets going back to 1973. They found that the ratio had substantial power to predict ten-year forward equity returns, explaining on average roughly 83% of their variation.⁵ Importantly, that predictive power was not simply duplicating the cyclically adjusted price-to-earnings ratio.

The broad relationship was exactly what valuation theory would suggest: low readings tended to precede above-average long-term returns, while high readings tended to precede below-average returns. If you treat the Buffett Indicator as cyclical, it can serve as a broad indicator of possible future performance from any given point in time.

There are two large qualifications though. First, the relationship becomes much stronger as the investment horizon lengthens. Its useful predictive power emerges over something like a decade. Because of this, using the indicator to try and time an entry to the day, week, or even quarter isn't very productive.

Second, the effect was actually stronger outside the United States. Which is interesting, since Buffett invented the indicator specifically to describe the American stock market. Recent US experience illustrates the problem nicely. The Buffett Indicator has remained above 100% almost continuously since January 2017, and over roughly the same period, the S&P 500 gained around 170%. An investor who interpreted 100% as a sell signal has therefore spent nearly a decade being "right" about historical valuation and catastrophically wrong about what to do with that information.

Various circumstances make the US unique among other markets, including the dominance of the dollar and the prevalence of favorable interest rates. So this US-centric anomaly is worth observing, but that makes it a parallel observation only rather than a distinct factor to be considered.

What the Buffett Indicator actually tells us

The Buffett Indicator can be interpreted a variety of ways. Uncontroversially, the indicator tells us that the value of American corporations is extraordinarily high relative to American economic output by historical standards.

The indicator by itself though never tells us why. It also doesn't perfectly predict what is going to happen next - even though people try to draw those kinds of conclusions. A Buffett Indicator of 218% produced by extreme valuation multiples is one thing, while a Buffett Indicator of 218% produced partly because corporations permanently capture a much larger share of national and international income is another. Those two situations can produce the same number while implying very different paths back toward historical averages.

And of course, neither interpretation tells us when anything will happen. Buffett himself described the ratio as a measure of where valuations stand "at any given moment." He did not describe it as a forecast of where stocks would trade next month, next year, or even several years from now.

Splitting the indicator in two

As set out at the top, market value over GDP is profits over GDP multiplied by market value per dollar of profit. This means the ratio comes apart cleanly and each half can be charted on its own.

Here is the profit half, drawn against the federal deficit that the fiscal argument above leans on.

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12.4 Corporate profits as a share of GDP · 5.7 percent of GDP The federal deficit as a share of GDPUS Bureau of Economic Analysis, Corporate Profits After Tax · US Bureau of Economic Analysis, Gross Domestic Product · US Bureau of Economic Analysis, Federal Government Current Receipts · US Bureau of Economic Analysis, Federal Government Current Expenditures

The chart confirms that profit as a share of GDP broke out around when the Buffett indicator did, although not dramatically enough to be the full story.

The chart is less conclusive about the relationship with the federal deficit. A same-quarter comparison is probably too harsh, because federal spending would be expected to take some time to work into the system, and the deficit also moves automatically when the economy weakens. That helps explain the ugly quarter-to-quarter numbers: the pre-2002 correlation is -0.52, mostly because deficits tend to widen when recessions hit and profits fall. Since 2002 the same-quarter correlation is -0.04, which means there is almost no correlation at all.

Allowing for a lag makes the deficit story more plausible, but not conclusive. In the raw post-2002 data, deficit changes line up better with profit-share changes one quarter later; stretch the lag much beyond that, or remove the pandemic shock, and the relationship gets much weaker. Deficits are a plausible contributor to the higher profit share, but something that would need further analysis.

Now the valuation half: what the market pays for a dollar of corporate profit.

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17.6 dollars of market value per dollar of profit as of Jan 2026Federal Reserve Board, Financial Accounts of the United States (Z.1) · US Bureau of Economic Analysis, Corporate Profits After Tax

This is the more striking of the two charts. From 1947 to 2001 the multiple averaged 10.6. In the first quarter of 2005, the quarter the profit share broke out, it was still 10.6. Today it is 17.6.

Between that 2005 quarter and today the indicator went from 105 to 218. Splitting that rise between the two terms puts roughly 31% of it on corporations capturing a larger share of GDP and roughly 69% on investors paying more for each dollar they capture. Measured from the 2009 low instead, it is about 40 and 60.

So both halves of the effect are real, but the valuation half is the larger one. The profit share decidedly broke out of its historical range, which is what makes Buffett's old thresholds unusable. But most of what has happened since 2005 still ultimately comes down to investors deciding a dollar of earnings is worth more than it used to be.

Saying that the Buffett Indicator is at 218% tells us something interesting, but without a deeper exploration of the why, it's just not as useful as many people think.

Sources

1. Warren Buffett, "Warren Buffett on the Stock Market," Fortune, December 2001. The original discussion of the market-value-to-GNP ratio, including Buffett's valuation thresholds and comments on interest rates.
2. Federal Reserve Economic Data (FRED), Corporate Profits After Tax and Gross Domestic Product. Used to calculate the quarterly corporate-profit share of GDP.
3. Congressional Budget Office, The Budget and Economic Outlook: 2026 to 2036. Federal deficit projections.
4. Nathan Sheets and George Jiranek, "The Evolution of U.S. Corporate Profits: Dissecting 70 Years' of Performance," PGIM Fixed Income Perspectives, April 2021. Regresses the corporate profit share of GDP on real Treasury yields, the excess bond premium, the broad real dollar and the trade share. The trade coefficient implies that the roughly 10 percentage point rise in the trade share since the mid-1980s is associated with a rise of about 2% of GDP in the profit share. Their profit measure is earnings before interest, taxes and depreciation, which is broader than the after-tax profit series used above.
5. Swinkels and Umlauft, "The Buffett Indicator: International Evidence" (2022). Evidence from fourteen developed equity markets on the relationship between market capitalization-to-GDP and long-horizon returns.