Nvidia Stock Is Trading at 33X Earnings, Its Cheapest Price in 5 Years. Should You Buy It Before Aug. 26?

Nvidia reported Q1 FY2027 revenue up 85% year over year, continuing to top expectations as AI infrastructure demand remains strong. The article notes NVDA screens as relatively cheaper on a trailing P/E (~33.3x, near a 5-year low) but still expensive on a price-to-sales basis (~21x), with risk that rapid AI platform change could pressure future multiples. Nvidia’s recent “data factory”/data center leasing financing plan for clients (including support tied to OpenAI’s 20-year Ohio lease) reinforces demand momentum, but near-term upside after its Aug. 26 earnings may be limited.

Analysis

The subtle read-through is not about another product cycle; it’s that NVDA is trying to transform itself from a chip vendor into an AI infrastructure financing platform. That is strategically powerful in the next 1-3 months because it can pull forward demand and reduce adoption friction, but it also changes the quality of growth: more revenue visibility, potentially lower ROIC, and a greater chance the market starts valuing earnings less generously if growth becomes more capital-intensive.

The second-order winners are the toll collectors around the capital stack: GS and BX can monetize structuring, financing, and asset-management fees with far less operating leverage than NVDA’s product margin model. MSFT, AMZN, and GOOGL also benefit if leasing lowers the hurdle rate for customers to deploy compute, but the flip side is that hyperscaler capex discipline remains the real check on the whole AI complex; any pullback there would hit NVDA first and the financing ecosystem second.

Near term, the earnings print is the main catalyst, but the more important signal will be margin commentary and how much of growth is true incremental demand versus subsidized demand. Over 6-18 months, the contrarian risk is that the market overvalues revenue growth while underweighting the possibility of multiple compression if cheaper accelerators, custom silicon, or financing-heavy revenue mix reduce NVDA’s structural profitability. Falsifiers are simple: stronger-than-expected gross margin expansion, clear backlog conversion, or hyperscaler capex guidance that re-accelerates after the print.

Key Decisions for Investors

• Avoid adding to NVDA ahead of earnings; if the stock rallies hard into Aug. 26, use a 1-2 month call-spread overwrite or trim 25-33% because the risk/reward skews toward post-print multiple compression rather than a clean re-rating.
• Initiate a small relative-value long GS/BX basket vs. short NVDA over the next 1-3 months; the thesis is that fee-based financing captures AI spend with less downside to margin/ROIC than the hardware name. Stop if NVDA guides materially above consensus on margins or backlog.
• Use any post-earnings NVDA drawdown to add to MSFT/AMZN/GOOGL on a 3-6 month horizon; they gain if leasing lowers AI deployment friction and keeps ecosystem spend flowing even when customers become more capex-conscious.
• Set an alert on NVDA gross margin and free-cash-flow conversion: if financing initiatives pressure either metric without a clear acceleration in order intake, treat that as the signal that the stock should trade closer to a lower-20s earnings multiple.