Piotroski F-Score Calculator
The formula
What the piotroski f-score tells you
Attainment of piotroski f-score against a target, with the absolute gap and the weighted contribution for scorecard roll-ups.
Calculation: attainment = actual ÷ target × 100; weighted contribution = attainment × weight. Enter your inputs and every substitution is shown below the result.
Reading the result
Green scores with soft targets flatter; audit the target, not just the result.
Limitations and best practice
One weighted line hides in a dashboard — a 90 % composite can be a 120 % and a 40 % wearing makeup.
This calculator gives an estimate based on standard formulas; it is not professional financial, medical, legal or engineering advice. Verify anything you plan to act on with a qualified professional and your own records.
Frequently asked questions
Is 100 % always good?
How do I weight lines?
Source & methodology
Balanced-scorecard attainment arithmetic.
Piotroski F-Score: the number, the method and the caveats
Scores feel like verdicts, but they are arithmetic — and arithmetic you understand is arithmetic you can plan toward. Piotroski F-Score is the kind of number people argue about from memory. This page ends that argument with arithmetic you can watch happen: enter your figures, get Attainment score in real time, and see every substitution printed below.
The number itself is the easy part. What takes judgement is knowing which inputs are facts in your situation and which are guesses wearing a decimal point — a distinction this page makes explicit for every field above.
Return and risk arrive as a package in Piotroski F-Score. A result of 79.1% means little until you ask what variance sits behind it, how it compares with the boring alternative (the companion tools above compute exactly that comparison), and whether the inputs assume the good scenario or the expected one.
What makes a calculation page trustworthy is that its copy is derived from its own arithmetic: here attainment score = 79.1%, recomputed every time a field changes, and the sensitivity section ranks the inputs that move the result — Target / benchmark first, at ≈11.1 % of the headline for a ten-percent error either way in that input — which is the thread the rest of this guide pulls on.
The Piotroski F-Score formula, explained
One formula, published in full: attainment = actual ÷ target × 100; weighted contribution = attainment × weight. Anything you can read, you can reproduce in a spreadsheet, and that reproducibility is the whole point of printing it rather than hiding it behind a button.
Actual / achieved (example value 87) is a measured number in the unit named by the label; the formula does not convert for you. The example value is there to demonstrate the mechanics, not to describe your situation — overwrite it.
Target / benchmark (example value 110) is a plain measured quantity — the unit shown in the label is the unit the formula expects. If you are unsure what belongs in this field, look at the printed steps: the substitution shows exactly how the engine uses it.
Weight of this line in the whole (example value 1) is a plain measured quantity — the unit shown in the label is the unit the formula expects. Use the same conditions each time (same scale, same time of day) so that changes in the output reflect real change.
Piotroski F-Score on the example inputs: the complete substitution
Rather than describe the calculation, here it is end to end — every substitution in order, starting from the inputs above. Starting figures: Actual / achieved, Target / benchmark, Weight of this line in the whole. The endpoint of that chain is 79.1% of attainment score, sitting in the “Material miss — this line needs intervention, not encouragement” band.
- Attainment = 87.0 ÷ 110.0 = 79.1 %
- Gap = 23.0 units
Gap to target — 23.0. Compare it against the main result of 79.1% before drawing conclusions.
Gap as % — 20.9%. If your inputs change, this is usually the first companion figure to move.
Weighted contribution — 79.1. This is the number experienced users quote when the headline alone would mislead.
Overwrite any input above and every line of this example updates with it — the substitution is live, not a screenshot of somebody else’s numbers.
The Piotroski F-Score corridor: your result across a realistic band
The honest version of any estimate is a corridor, and this one is cheap to produce: Piotroski F-Score was recomputed at 5 points along the dominant input, with every other field left untouched.
| Target / benchmark setting | Attainment score |
|---|---|
| 80 % of the example value | 98.9% |
| 90 % of the example value | 87.9% |
| example inputs | 79.1% |
| 110 % of the example value | 71.9% |
| 120 % of the example value | 65.9% |
Across 5 settings of Target / benchmark, the result spans 65.9% to 98.9%. A decision that only works at one row of this table is a decision waiting for an input to move. Reproduce it in the form above by editing Target / benchmark alone; the substitution steps will follow your figures exactly.
Where Piotroski F-Score is fragile — and where it is not
Nobody should have to guess which input matters. The engine was re-run once per field below — ten percent up, ten percent down, everything else frozen — and the results ranked by how far they moved the attainment score. It is the fastest honest answer to “what matters most in Piotroski F-Score?” — and it is specific to these defaults, because sensitivity moves with the starting point.
- Target / benchmark +10 % → Piotroski F-Score = 71.9% · −10 % → 87.9% (the attainment score shifts ≈11.1 %)
- Nudge Actual / achieved by ±10 % and Piotroski F-Score lands between 71.2% and 87.0% (sensitivity ≈10.0 %)
Target / benchmark is the dominant lever here: ten percent either way moves the result by about 11.1 %, from 71.9% to 87.9%. Spend your verification effort there first, and treat Actual / achieved as the second priority (≈10.0 % per ten percent). Everything below that can stay approximate, which is a licence to stop chasing data that would not change the decision.
Interpreting the Piotroski F-Score verdict
A number on its own is trivia; a number against a range is intelligence. On the example inputs the band reads “Material miss — this line needs intervention, not encouragement”; your own figures place you on a different rung of the same ladder. The sensitivity list shows how far a modest input error moves you along that ladder: for Target / benchmark, ±10 % covers 71.9% to 87.9%. The practical reading rules: read the band as a starting hypothesis, then test it: change the two dominant inputs by ten percent and see whether the verdict survives. Verdicts that survive stress are the ones worth acting on.
Related measures answer related questions, and the distinctions matter: Piotroski F-Score is the quantity, Attainment score is this tool’s reading of it, and the decision that follows belongs to neither of them separately.
How people get Piotroski F-Score wrong
One weighted line hides in a dashboard — a 90 % composite can be a 120 % and a 40 % wearing makeup. This calculator gives an estimate based on standard formulas; it is not professional financial, medical, legal or engineering advice. Verify anything you plan to act on with a qualified professional and your own records.
Stopping at the first plausible answer. If the result surprises you, the productive question is which input would have to be wrong for the surprise to disappear — then go check that input.
This model has its own particular trap: Target / benchmark carries ≈11.1 % of the response per ten percent of error, so effort spent elsewhere is largely decorative.
The subtlest error is answering the wrong question precisely. Confirm that attainment score is actually the quantity your decision needs — the arithmetic is flawless either way, which is what makes the mistake invisible.
Piotroski F-Score verification checklist
- Compare the output against one published benchmark or a colleague’s independent estimate.
- Compare the result with one independent method or published benchmark.
- Check Target / benchmark before anything else: it is the measured dominant input, ≈11.1 % of Piotroski F-Score per ten percent.
- Recompute once with the dominant input deliberately set low, and see whether the decision changes.
- Note the date and the inputs beside the number so the figure can be audited later.
- Confirm the answer against one independent method or published benchmark for Piotroski F-Score.
How to use the Piotroski F-Score tool properly
The tool does the arithmetic; the routine below is what makes the arithmetic trustworthy. Five steps, a minute total — and afterwards you will know not just what the number is, but which assumption produced it.
Step 1 — gather before you type. Piotroski F-Score depends on actual / achieved, target / benchmark, weight of this line in the whole. Collect them from a source document — a statement, a report, an invoice, a log — rather than from memory, because recalled inputs are the single largest cause of wrong results. If the answer changes your behaviour, it deserves a second run with different assumptions.
Step 2 — start from the case you can defend. Enter pessimistic-but-honest figures first; the optimistic run is a ceiling, not a plan. A conclusion that holds on conservative inputs holds everywhere. If the answer changes your behaviour, it deserves a second run with different assumptions.
Step 3 — play with the inputs on purpose. Ten percent up, ten percent down, one field at a time. Within a few minutes you will know this calculation better than most people who quote its results. Rounding early is the quietest way to introduce a permanent error.
Step 4 — stress before you commit. A decision that survives a ten-percent squeeze on its two biggest inputs needs no luck to be sound. One that does not survive is a decision about hope, not about arithmetic. When in doubt, prefer the boring input: the interesting one is usually the one you misread.
Step 5 — write the one-line memo. “Attainment score = 79.1% on this date, from these inputs.” That line is the entire deliverable; everything else on this page is how you earned the right to write it. Precision is a promise you make about your data; make sure your inputs can keep it.
Who actually uses Piotroski F-Score — and when
Most Stocks & Equities disagreements are arithmetic disagreements in disguise. When Attainment score of 79.1% sits on the table with its working shown, the conversation stops being about who sounds more confident and starts being about which input is wrong. The fastest sanity test is to guess the answer first and see how far the calculation disagrees.
Used properly this is a five-minute filter that saves weeks. Compute Piotroski F-Score, reject what fails, and only then bring in the expensive analysis for the survivors. Note the assumption you are least sure about; that is where the real risk lives.
Re-running this page costs nothing and catches the slow drifts that never announce themselves. In Investing & Markets the expensive mistakes are rarely sudden; they are small changes in Actual / achieved that nobody recalculated for a year. The point of transparency is that a reader can disagree with a specific line rather than with you.
Quick answers: what searchers ask about Piotroski F-Score
What affects Piotroski F-Score the most?
The short answer: Target / benchmark. The longer answer is the sensitivity table on this page, where every numeric input was probed by ten percent and the attainment score recalculated — Target / benchmark moved it furthest, by roughly 11.1 % (71.9% to 87.9%).
Which matters more: actual / achieved or target / benchmark?
Target / benchmark, by a factor of about 1.1. Concretely: ten percent on Target / benchmark is worth ≈11.1 % of Piotroski F-Score, the same nudge on Actual / achieved only ≈10.0 %. That ranking is re-computed for each page from that page’s own defaults.
What is a typical Piotroski F-Score?
On the worked example above Piotroski F-Score comes out at 79.1%. Treat that as one point on a distribution rather than a norm: the bands, the companion outputs and the sensitivity ranking tell you how wide the plausible range really is.
How do I calculate Piotroski F-Score by hand?
attainment = actual ÷ target × 100; weighted contribution = attainment × weight is the entire method. Work the inputs in that order — Attainment = 87.0 ÷ 110.0 = 79.1 % — and you will reach 79.1% on the default figures, the same number this tool prints.
What happens to Piotroski F-Score if target / benchmark changes by 10 %?
Try it in the form above and the printed substitution will follow you; the pre-computed answer for the defaults is 71.9% to 87.9% across the ten-percent probe, i.e. ≈11.1 % sensitivity on the attainment score.
Is the Piotroski F-Score result of 79.1% good or bad?
The tool answers “what”, not “whether”: 79.1% carries the verdict “Material miss — this line needs intervention, not encouragement” for the default case, which is a starting interpretation rather than a verdict on your situation. Re-run with your own figures and compare the bands.
Can I predict future returns with Piotroski F-Score?
No tool predicts; Piotroski F-Score computes implications. Use it to ask "if these inputs hold, what follows" — then stress the assumptions.
Does Piotroski F-Score account for fees and taxes?
Only what you put in. Fees belong inside Actual / achieved where they shrink returns before compounding touches them; taxes are outside the scope of a pre-tax Piotroski F-Score and should be layered on top before decisions.
Is 100 % always good?
Only if the target was set honestly; consistently hitting exactly 100 % suggests sandbagged targets.
How do I weight lines?
By consequence — revenue and safety earn higher weights than administrative metrics.
Can this tool see the numbers I type?
It cannot. There is no submission step: the calculation happens in your browser and the result disappears when you close the page. Treat the fields above as a scratchpad rather than a form.
Glossary for Piotroski F-Score
- Gap to target
- 23.0 on the example inputs — a companion figure printed beside the headline of Piotroski F-Score so that no result is read in isolation.
- Gap as %
- 20.9% for the Piotroski F-Score worked case; it sits next to the main result because it carries context the headline leaves out.
- Weighted contribution
- 79.1 for the Piotroski F-Score worked case; it sits next to the main result because it carries context the headline leaves out.
- Attainment score
- The primary output of this tool: 79.1% for the default inputs, computed exactly from attainment = actual ÷ target × 100; weighted contribution = attainment × weight.
- Worked example
- Every substitution in order, from the example inputs to 79.1% — the audit trail for the headline figure.
- Verdict band
- The plain-language label — here “Material miss — this line needs intervention, not encouragement” — mapping the computed figure onto experience-based ranges for Investing & Markets.
- Sensitivity (±10 %)
- How far the Piotroski F-Score moves when a single input is nudged ten percent either way; the ranked list on this page is computed live from this engine.
Where the Piotroski F-Score model comes from
There is no black box on this page — the engine evaluates attainment = actual ÷ target × 100; weighted contribution = attainment × weight. Source of record: Balanced-scorecard attainment arithmetic. Any other implementation of this model should return the same figure for the same inputs. If one does not, the difference is in its assumptions — which this page prints and that one probably does not.
Treat the output as a precise answer to the question you typed: exact arithmetic, transparent formula, published source, no hidden rounding. The design constraint was set by usefulness rather than by comfort: an estimate you can interrogate beats an answer you have to trust.
Turning this Piotroski F-Score into a decision
Work backwards from your target: adjust the inputs until the result matches the score you need, and those inputs become the study plan.
This page was written for students and candidates planning toward a target score, and the promise is that nothing above required trust. Bookmark the tool, re-run it whenever an input moves by more than a few percent, and keep the date with the number.