Fair Isaac (FICO) EPS (Diluted) (2009 - 2026)
Fair Isaac (FICO) posted EPS (Diluted) of $10.45 for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 41.2% from $7.40 a year earlier but down 6.2% from the prior quarter.
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Analysis
Fair Isaac (FICO) EPS (Diluted) (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EPS (Diluted) at Fair Isaac was $35.90, up 39.5% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $26.54, up 29.8% from FY2024.
- Annual EPS (Diluted) has increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 27.4% (FY2020 to FY2025).
- In prior fiscal years, Fair Isaac's EPS (Diluted) was $20.45 in FY2024 (+20.8%), $16.93 in FY2023 (+19.4%), $14.18 in FY2022 (+5.8%) and $13.40 in FY2021 (+69.7%).
- Quarterly EPS (Diluted) has run from a low of $2.93 in fiscal Q4 2021 to a high of $11.14 in fiscal Q2 2026 over five years.
- On a year-over-year basis, EPS (Diluted) has increased in each of the last eight quarters, with growth averaging 34.0% over the last eight quarters.
- The strongest year-over-year quarter for EPS (Diluted) in the past five years was fiscal Q2 2022, with growth of 69.9%; the weakest was fiscal Q3 2022, with a decline of 30.2%.
- According to Business Quant data, EPS (Diluted) for the three prior fiscal quarters was $11.14 (Q2 2026), $6.61 (Q1 2026) and $6.31 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 0.41 |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 1.56 |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 2.19 |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 4.29 |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 0.29 |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 2.43 |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 1.31 |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -24.45 |
| 10 | Fair Isaac | 18.16 Bn | 17.40 Bn | 587.17 Mn | 10.45 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.45 |
| Mar 31, 2026 | 11.14 |
| Dec 31, 2025 | 6.61 |
| Sep 30, 2025 | 6.31 |
| Jun 30, 2025 | 7.40 |
| Mar 31, 2025 | 6.59 |
| Dec 31, 2024 | 6.14 |
| Sep 30, 2024 | 5.41 |
| Jun 30, 2024 | 5.05 |
| Mar 31, 2024 | 5.16 |
| Dec 31, 2023 | 4.80 |
| Sep 30, 2023 | 4.00 |
| Jun 30, 2023 | 5.08 |
| Mar 31, 2023 | 4.00 |
| Dec 31, 2022 | 3.84 |
| Sep 30, 2022 | 3.44 |
| Jun 30, 2022 | 3.61 |
| Mar 31, 2022 | 3.95 |
| Dec 31, 2021 | 3.09 |
| Sep 30, 2021 | 2.93 |
API Access
Fair Isaac EPS (Diluted) API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=eps-diluted&ticker=FICO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "FICO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=eps-diluted&ticker=FICO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();