The next section on the scorecard provides a very quick health assessment based on balance sheet data. Joseph Piotroski designed the f-score as the sum of 9 binary health signals and he used this on low price-to-book companies to separate the dogs from the good prospects.
Our scorecard shows the Piotroski F-score on a bullet chart. This has different components:
Below the chart we also show a quick interpretation of the F-score.
If you want to understand how the score was calculated, you can click on the 'details' link on top of the chart. This opens the Piotroski F-Scorecard which consists of 2 parts.
This scorecard shows all 9 signals and an explanation in plain English. You can drill down on any particular signal and see how it's calculated.
The Piotroski F-Score is a point-in-time health assessment and a high score indicates that the company's prospects are improving. The score also changes over time and even if there are no studies proving any predictive value, it can be quite interesting to see how the Piotroski F-Score evolved over time. Open the 'History' tab to see the Piotroski F-Score and the 9 signals during the last 11 periods.