The Revenue and Earnings Quality Test
Price-to-revenue is a crude proxy; grade the dollar before you multiply it.
- Difficulty
- Moderate
- Time to result
- ~days to results
- Steps
- 6
- Confidence
- 90%
Gurley's premise is uncomfortable: if financial sophistication runs one to ten and a really smart person in New York is an eight and a half, the average Silicon Valley operator is a two — and they mock Wall Street out of ignorance. That is why most of them value companies on price to revenue, which he calls about the crudest tool available. He tested it directly for a blog post called The Keys to the 10x Revenue Club, laying every public tech stock out by price to revenue: one sat at 20x and one at 0.1x, forming a big curve with no defensible line anywhere on it. The test replaces the single multiple with graded inputs. On revenue quality the driver is margin: a used-car reseller booking the price of the car and making ten percent produces seven cents of gross margin on an incremental dollar, while a SaaS vendor at 90 percent gross margins produces ninety — you cannot value those on the same price-to-revenue. On earnings quality the driver is cash conversion; timing and structural factors can leave cash flow well behind good GAAP earnings. Then durability: Coca-Cola trades high because nobody doubts it exists in 50 years, while Facebook at 14x GAAP EPS while growing 23 percent reflects the market's uncertainty about whether TikTok takes the business overnight.
Origin
Gurley developed and published this as the blog post The Keys to the 10x Revenue Club, written after observing that Silicon Valley valued companies almost exclusively on price-to-revenue multiples, and revived it in a spring 2022 tweet thread aimed at founders facing the valuation reset.
Core principles
- 01Price to revenue is the common language of a group with low financial literacy, not a valuation method.
- 02There is no line between revenue multiple and value — Gurley plotted every public tech stock and got a curve from 0.1x to 20x.
- 03Revenue quality is dominated by margin: a dollar at 90 percent gross margin is not the same asset as a dollar at 7 percent.
- 04Earnings quality is about cash conversion — good GAAP earnings can coexist with much weaker cash flows for structural or timing reasons.
- 05Durability is priced: Coca-Cola holds a high multiple because everyone believes Coke exists in 50 years, while a tech company's disruptability compresses it.
- 06Anchoring to a previous all-time high is not analysis; a stock being down 70 percent tells you nothing about whether it is cheap.
How to run it
- 1
Discard the previous peak
Remove all-time-high prices and peak private marks from the analysis entirely. A company being down 70 percent does not make it cheap; those prices simply happened.
Pro tip Gurley says he screwed himself on exactly this point, so treat it as the first and hardest discipline.
Watch out Founders who multiplied their ownership by the peak valuation and formed a net-worth belief find this psychologically destructive; expect resistance.
- 2
Grade revenue quality by margin
Calculate what an incremental dollar of revenue actually contributes in gross margin. Ten percent on a resold used car is seven cents; a SaaS vendor at 90 percent margin contributes ninety.
Pro tip State the incremental contribution in cents to make the comparison unavoidable.
- 3
Grade earnings quality by cash conversion
Compare GAAP earnings to actual free cash flow and identify the structural or timing differences. Good reported earnings with weak cash flows is a quality problem, not a rounding difference.
Watch out Timing differences can mask a durable working-capital problem for several quarters.
- 4
Grade durability by churn and competitive advantage
Ask whether the customer stays forever or could leave tomorrow, and whether there is a real competitive advantage. Coke's multiple embeds fifty-year confidence; a tech company's may embed the risk of being taken out overnight.
Pro tip Ask what would have to happen for this business to be gone in three years, then price that probability.
Watch out Companies that merely look disruptable get penalised regardless of whether they actually are.
- 5
Convert the revenue multiple into an earnings multiple
Translate to the terms buyers actually use. Gurley's arithmetic: at 10x revenue you are probably trading at 50x earnings, while Facebook at the time traded at 14x GAAP EPS while growing 23 percent.
Pro tip Sanity-check against the most successful comparable you can find, not against your own cohort.
Watch out Many companies have no earnings at all — by 2020-2021 only about five percent of IPO companies were profitable, versus roughly 90 percent in dark times.
- 6
Reset your mental model fast
When the regime changes, adjust immediately rather than waiting for things to get back to normal. Gurley's view is that the prior era was the fantasy and the best thing you can do is adjust your mental models fast and get on with the new world.
Pro tip External structure helps — Gurley cites Sequoia's 2009 RIP Good Times deck as the thing that got the industry there faster.
In the wild
Gurley's simplest illustration of revenue quality: a used-car reseller books the full price of each car as revenue but makes ten percent, so an incremental revenue dollar creates seven cents of gross margin. A SaaS vendor at 90 percent gross margins creates ninety cents on the same dollar.
→ The two businesses cannot be valued on the same price-to-revenue multiple, which is the whole argument against using the multiple as a primary tool.
For the blog post The Keys to the 10x Revenue Club, Gurley laid out all the public tech stocks ranked by price to revenue. One traded at 20x and one at 0.1x, producing a smooth curve with no natural break point.
→ The exercise demonstrated there is no reason to believe price-to-revenue is how you should value anything — it survives only because it is easy and immature companies are hard to DCF.
Gurley highlighted Facebook trading at roughly 14 times GAAP EPS while growing 23 percent, against Coca-Cola's historical 30 to 35 times earnings on single-digit growth. The gap is not growth, it is confidence in durability.
→ It illustrated to founders that even the most successful, cash-generative companies of the era did not command the multiples Silicon Valley assumed were normal.
Common mistakes
Anchoring on the previous all-time high
A price being down 70 percent says nothing about value. Gurley's first bullet in the thread is that previous all-time highs are completely irrelevant and you should forget those prices happened.
Treating the revenue multiple as a valuation method
It is a hack proxy that survives because it is easy and because young companies are hard to DCF. Used as the primary tool, it puts a 90 percent gross-margin business and a 10 percent one on the same footing.
Waiting for things to get back to normal
Gurley's blunt response to founders holding on for the old regime is that this is normal and the prior period was the fantasy. The cost of the delay is that you make worse operating decisions the whole time.
Is it for you?
Best for
Anyone valuing or benchmarking growth companies, especially during a repricing when old multiples have stopped applying.
Not ideal for
Very early-stage companies with negligible revenue, where no multiple-based method is meaningful in the first place.
From the transcript
“there's no reason to believe that that price to revenue is how you should value anything but just because it's easy”
“a simple one is margins like if you are reselling used cars and your revenue is the price of the cars you're selling but you're…”
“earnings qualities typically relates to cash flow so you might have really good Gap earnings but because of different factors in your business your your…”
“one of the reasons Coca-Cola trades at a high multiple is everyone imagines Coke will still be here 50 years from now”
From the episode
#651: Legendary Investor Bill Gurley on Investing Rules, Finding Outliers, Insights from Jeff Bezos and Howard Marks, Must-Read Books, Creating True Competitive Advantages, Open-Source Strategies, Adapting Mental Models to New Realities, and More