Nvidia walks into August 26 earnings with nearly unanimous analyst support. Thirty-six of 37 covering firms rate it a buy. The stock has climbed 11% year-to-date, bouncing from $164 in spring to $208 now, and Wall Street expects earnings to nearly double. The setup looks clean.
But Michael Burry, the investor who spotted the 2008 housing collapse coming, flagged something the price charts miss. He dug into where Nvidia's demand actually originates, and what he found was a circular loop that makes the revenue real only on paper.
The Consensus Trap
The bullish case stacks easily. Average analyst price target sits near $309, roughly 49% above current levels, with forecasts ranging from $250 to $500. Bernstein and Wells Fargo both reiterated $315 targets days before the report. Options traders are pricing an expected 6% move around earnings. The stock climbed into the report rather than sliding, which typically signals the market expects good news.
Almost everyone is already positioned for a win. That's precisely the problem. Even solid results can disappoint when expectations run this high.
The Debt Backstop Question
Burry's concern centers on Nvidia's relationship with its largest customers. The company has reportedly moved to backstop around $250 billion of debt tied to OpenAI's data centers, effectively lending money to the very buyers purchasing its chips. It's like a retailer extending credit to customers so they can buy the store's own inventory. The sale registers as revenue. The cash, though, originates from the seller.
This circular spending pattern inflates demand numbers without creating genuine, independent purchasing power. When the financial engineering unwinds, so does the growth narrative.
Nvidia faces a real earnings test on August 26, but the deeper question isn't whether results beat forecasts. It's whether that demand would exist without Nvidia's own financing backstop.
This material is informational only and should not be considered investment advice. Conduct your own research before making trading decisions.


