Reverse DCF shows FCF growth needed to justify chip stock prices
A Reddit r/stocks post presents a reverse DCF analysis of 14 chip stocks, calculating the annual free cash flow growth each would need over 10 years to justify its Nov 5 closing price, using a 9% discount rate and flat growth thereafter. The post reports forward P/E figures alongside required FCF growth, noting NVDA and QCOM both trade at 15.5x forward P/E but need about 20% and 9% annual FCF growth respectively. It also lists ARM at 71.3x forward P/E needing 39% growth, and MU at 4.0x needing 2.6%.
Why “Rumor”
- Only community or trader posts: r/stocks
0 independent source groups across 1 post · evidence score 9/100. How labels work
Market around the story
- INTC Still being measured. The price reaction is recorded once the market has traded for six hours after the first report.
- MU Still being measured. The price reaction is recorded once the market has traded for six hours after the first report.
- NVDA Still being measured. The price reaction is recorded once the market has traded for six hours after the first report.
- QCOM Still being measured. The price reaction is recorded once the market has traded for six hours after the first report.
What the sources claim
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The post's reverse DCF finds NVDA's price requires about 20% annual FCF growth for a decade. NVDA
“NVDA's price still needs about 20% FCF growth a year for a decade”
r/stocks -
The post states QCOM trades at 15.5x forward P/E and its price needs about 9% annual FCF growth. QCOM
“QCOM's about 9%”
r/stocks -
The post lists ARM at a 71.3x forward P/E requiring 39% annual FCF growth.
“ARM | 71.3x | 39%”
r/stocks -
The post lists MU at a 4.0x forward P/E requiring 2.6% annual FCF growth. MU
“MU | 4.0x | 2.6%”
r/stocks -
The post says INTC's required FCF growth is not applicable because its FCF is negative. INTC
“INTC | 39.1x | n/a (negative FCF)”
r/stocks -
The post says SNDK's price implies below-zero FCF growth.
“SNDK | 3.5x | below zero growth”
r/stocks
Sources
More on NVDA
Summary and claims extracted by AI with prompt analyze-story@5 on 2026-11-06 14:20 UTC. Labels are computed from the sources, not by the model.