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Piotroski: High F-Score ScreenValue

Discover high-quality stocks with the Piotroski High F-Score Screen, focusing on companies with strong financial health and potential for high returns.

ValueQuality
YTD
-1%
5Y
-38.2%
10Y
-48%
15Y
+7.3%
Total backtested return over each period.
Cumulative backtested growth
Piotroski: High F-Score Screen
+4,777%199820122026+2,496%
Growth of the screen since inception. Past performance does not guarantee future results.
7 of 7 stocks
Rank
Company
Exchange
Price/Book
F Score Y1
Return on assets 12m
Return on assets Y1
Return on assets Y2
Cash from operations Y1
Income after taxes Y1
LT Debt to Assets Y1
Current ratio Y1
Gross margin Y1
Asset turnover Y1
Market Cap Q1
1
ACTGAcacia Research Corporation
NASDAQ
0.83
9
-2.4
2.8
-5.2
75.2
24.5
9.2
29.6
0.4
438.5
2
ACCSACCESS Newswire Inc.
NYSE American
0.85
8
-3.8
9.3
-18.6
0.6
-1.6
0.9
76.5
0.5
25.5
3
CLDTChatham Lodging Trust
NYSE
0.87
8
0.7
1.2
0.3
64.1
15.3
1.2
48.0
0.2
623.9
4
GLREGreenlight Capital Re, Ltd.
NASDAQ
0.78
8
3.7
3.6
2.3
210.2
74.8
1.7
13.3
0.3
566.2
5
LIVELive Ventures Incorporated
NASDAQ
0.37
8
1.0
5.7
-6.4
28.7
22.7
1.6
32.7
1.1
34.4
6
MSSMaison Solutions Inc.
NASDAQ
0.19
8
-15.5
1.5
-5.7
4.8
0.9
0.6
21.2
1.6
1.8
7
SSTKShutterstock, Inc.
NYSE
0.50
8
-1.6
3.4
3.1
166.7
45.5
0.5
58.9
0.7
272.2

Ranked by the Piotroski: High F-Score Screen screen, updated from the live database. The columns are the exact criteria this strategy screens on. This is research, not investment advice.

Read the full Piotroski: High F-Score Screen analysis →How the screens work →
The strategy

All you need to know about Piotroski: High F-Score Screen

Who is Joseph Piotroski, and what is the F-Score?

Joseph Piotroski is an accounting professor who built the strategy behind this screen in 2000, while teaching at the University of Chicago's Graduate School of Business; he later joined the faculty at Stanford. His paper — "Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers," published in the Journal of Accounting Research — asked a narrow, useful question. Among cheap stocks, can ordinary financial-statement data tell the recovering companies apart from the ones still falling? His answer was the F-Score, a nine-point checklist that has become one of the most cited quality measures in quantitative value investing. The Piotroski High F-Score screen pairs that checklist with a strict cheapness filter.

The core idea: financial strength inside cheapness

Buying stocks with a low price-to-book-value ratio works on average, but the average hides a messy split. A basket of the cheapest stocks is crowded with genuinely distressed businesses, and a handful of big winners pulls the group's mean return upward while many of the names quietly lose money. Piotroski wanted to skim off the likely winners in advance.

His reasoning: these stocks are small, neglected, and barely followed by analysts, so simple accounting signals that a well-covered market would price in immediately still carry information here. Instead of forecasting earnings, he scored each firm on nine yes-or-no tests covering profitability, funding, and operating efficiency — one point per test, zero to nine. A high score of 8 or 9 marks a cheap company whose fundamentals are actually improving. A low score marks one that is still deteriorating, and probably cheap for good reason.

What the Piotroski High F-Score screen looks for

The screen first ranks the universe on price-to-book value and keeps only the cheapest fifth — the same high book-to-market stocks Piotroski studied. It then scores each survivor on the nine F-Score tests and demands a near-perfect result:

  • Price-to-book-value ratio in the bottom 20% of the database — the cheapest fifth of stocks.
  • American depositary receipts (ADRs) and over-the-counter (OTC) stocks are excluded, which screens out the least liquid and least consistently reported names.
  • Profitability (four points): positive return on assets in the latest fiscal year; positive cash flow from operations; return on assets higher than the year before; and operating cash flow greater than net income (income after taxes) — an accrual check that rewards earnings backed by real cash.
  • Leverage, liquidity and funding (three points): a lower long-term-debt-to-assets ratio than the prior year; a higher current ratio than the prior year; and shares outstanding no higher than the prior year, meaning the company did not raise money by issuing new stock.
  • Operating efficiency (two points): gross margin higher than the prior year, and asset turnover higher than the prior year.
  • To pass, a stock must clear at least eight of the nine tests — an F-Score of 8 or 9.

The evidence

Piotroski tested the score on high book-to-market firms from 1976 to 1996. Selecting the financially strong names lifted the mean return of a cheap-stock portfolio by at least 7.5% a year, and — more telling — shifted the entire distribution of outcomes to the right, trimming the tail of disasters rather than just raising the average. A long-short version, long the highest scorers and short the lowest, earned roughly 23% a year over that window. The improvement was concentrated in small, thinly traded, lightly followed firms, exactly where prices drift furthest from value. AAII's own screening results have echoed the pattern: the higher the score, the higher the average portfolio return.

What to keep in mind

The trait that makes the F-Score effective is also its main constraint. It works best among small, illiquid, beaten-down stocks — the very names that are hardest to buy in size without moving the price, and hardest to exit in a hurry. Treat the passing list as small-cap, and size positions accordingly.

It is also a quality filter, not a valuation or timing tool. The price-to-book rank supplies the cheapness; the score only sorts financial health within that cheap set. It never asks whether a stock is cheap enough, or when to buy. The nine tests read last year's statements, so they describe where a business has been, not where it is headed — and a company lapping one terrible year can flip several improvement tests at once without being durable. Pairing the book-to-market filter with a high score narrows the odds of a value trap; it does not erase them. Read the story behind each name before you buy.

Sources

Joseph D. Piotroski, "Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers," Journal of Accounting Research, Vol. 38 (Supplement), 2000.

American Association of Individual Investors (AAII) — Stock Investor Pro screen definition and commentary.

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