Fair Isaac (FICO) EBT (2009 - 2026)
Fair Isaac (FICO) reported EBT of $314.66 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 32.8% from $236.99 million a year earlier but down 11.6% from the prior quarter.
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Analysis
Fair Isaac (FICO) EBT (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Fair Isaac's EBT came in at $1.07 billion, up 38.0% year-over-year; for FY2025 (ended Sep 30, 2025), it was $802.6 million, up 25.0% from FY2024.
- EBT has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 25.6% (FY2020 to FY2025).
- By fiscal year, EBT came in at $642.03 million in FY2024 (+16.0%), $553.62 million in FY2023 (+17.5%), $471.31 million in FY2022 (-0.4%) and $473.14 million in FY2021 (+84.1%).
- Five-year quarterly EBT spans a low of $104.82 million in fiscal Q1 2022 and a high of $356.03 million in fiscal Q2 2026.
- Year over year, EBT has now increased in each of the last 16 quarters, with growth averaging 31.0% over the last eight quarters.
- The high point for year-over-year EBT in five years was fiscal Q2 2026 (growth of 67.1%); the low point was fiscal Q3 2022 (a decline of 35.7%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $356.03 million (Q2 2026), $191.93 million (Q1 2026) and $202.46 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 1.08 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 5.61 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 3.49 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 4.55 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 438.00 Mn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 1.26 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 540.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -8.22 Bn |
| 10 | Fair Isaac | 18.16 Bn | 17.40 Bn | 587.17 Mn | 314.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 314.66 Mn |
| Mar 31, 2026 | 356.03 Mn |
| Dec 31, 2025 | 191.93 Mn |
| Sep 30, 2025 | 202.46 Mn |
| Jun 30, 2025 | 236.99 Mn |
| Mar 31, 2025 | 213.02 Mn |
| Dec 31, 2024 | 150.13 Mn |
| Sep 30, 2024 | 171.38 Mn |
| Jun 30, 2024 | 167.32 Mn |
| Mar 31, 2024 | 172.73 Mn |
| Dec 31, 2023 | 130.59 Mn |
| Sep 30, 2023 | 140.47 Mn |
| Jun 30, 2023 | 157.79 Mn |
| Mar 31, 2023 | 137.47 Mn |
| Dec 31, 2022 | 117.90 Mn |
| Sep 30, 2022 | 113.11 Mn |
| Jun 30, 2022 | 120.89 Mn |
| Mar 31, 2022 | 132.49 Mn |
| Dec 31, 2021 | 104.82 Mn |
| Sep 30, 2021 | 105.47 Mn |
API Access
Fair Isaac EBT 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=ebt&ticker=FICO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=FICO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();