Adam Spatacco, The Motley Fool
4 min read
Warren Buffett stands as one of the most celebrated investors in history. Under his leadership at Berkshire Hathaway beginning in 1965, the investment conglomerate delivered a compound annual gain of 19.7% through 2025, almost double the S&P 500‘s (SNPINDEX: ^GSPC) 10.5% average annual return over the same period.
That performance turned modest early investments into generational wealth for patient shareholders, validating Buffett’s reputation for focusing on long-term value rather than short-term profits.
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One tool the Oracle of Omaha has long employed for gauging the health of the stock market is the aptly named Buffett indicator, which compares the total value of U.S. stocks to gross domestic product (GDP). Its currently elevated reading raises questions about whether stocks are outrunning underlying economic growth and what that could signal for future returns.
What is the Buffett indicator, and how is it calculated?
The Buffett indicator is a ratio between the aggregate market capitalization of all publicly traded U.S. companies — typically captured by a broad index such as the Wilshire 5000 — and nominal U.S. GDP. This metric offers a snapshot of how large the stock market has become relative to the size of the economy that ultimately supports corporate profits.
The Buffett indicator has historically hovered below 100%, with notable spikes near 140% during the dot-com bubble and around 190% in late 2021. A rising indicator implies that stock prices are expanding faster than economic output. This can occur during periods reflecting heightened investor optimism, abundant liquidity, or expectations of future growth that may ultimately prove difficult to sustain.
In Buffett’s own words, a reading approaching or exceeding 200% is a territory where investors are “playing with fire.” Currently, the Buffett indicator stands at roughly 234% — an all-time high.
What is fueling the stock market higher right now?
There are a number of powerful forces lifting stock prices at the moment. Over the last few years, spending related to artificial intelligence (AI) has surged to hundreds of billions of dollars annually, with major technology companies committing unprecedented sums to data centers, chips, and infrastructure. These capital outlays have driven outsize earnings growth for semiconductor makers and related suppliers.
