Fair Isaac (FICO) EBITDA (2009 - 2026)
Fair Isaac (FICO) reported EBITDA of $366.85 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 37.7% from $266.5 million a year earlier but down 9.7% from the prior quarter.
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Analysis
Fair Isaac (FICO) EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Fair Isaac's EBITDA came in at $1.25 billion, up 39.2% year-over-year; for FY2025 (ended Sep 30, 2025), it was $939.8 million, up 25.7% from FY2024.
- EBITDA has increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 23.6% (FY2020 to FY2025).
- By fiscal year, EBITDA came in at $747.46 million in FY2024 (+13.7%), $657.47 million in FY2023 (+16.8%), $562.88 million in FY2022 (+6.0%) and $531.08 million in FY2021 (+62.7%).
- Five-year quarterly EBITDA spans a low of $120.71 million in fiscal Q4 2021 and a high of $406.35 million in fiscal Q2 2026.
- Year over year, EBITDA has now increased in each of the last 16 quarters, with growth averaging 31.5% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was fiscal Q2 2026 (growth of 63.2%); the low point was fiscal Q3 2022 (a decline of 27.4%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $406.35 million (Q2 2026), $238.07 million (Q1 2026) and $241.18 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 920.22 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 10.13 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 3.44 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 3.89 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 741.00 Mn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | -1.38 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 693.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -8.32 Bn |
| 10 | Fair Isaac | 18.16 Bn | 17.40 Bn | 587.17 Mn | 366.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 366.85 Mn |
| Mar 31, 2026 | 406.35 Mn |
| Dec 31, 2025 | 238.07 Mn |
| Sep 30, 2025 | 241.18 Mn |
| Jun 30, 2025 | 266.50 Mn |
| Mar 31, 2025 | 249.06 Mn |
| Dec 31, 2024 | 183.06 Mn |
| Sep 30, 2024 | 200.99 Mn |
| Jun 30, 2024 | 194.09 Mn |
| Mar 31, 2024 | 198.20 Mn |
| Dec 31, 2023 | 154.18 Mn |
| Sep 30, 2023 | 168.70 Mn |
| Jun 30, 2023 | 180.38 Mn |
| Mar 31, 2023 | 163.78 Mn |
| Dec 31, 2022 | 144.62 Mn |
| Sep 30, 2022 | 138.80 Mn |
| Jun 30, 2022 | 145.78 Mn |
| Mar 31, 2022 | 157.49 Mn |
| Dec 31, 2021 | 120.81 Mn |
| Sep 30, 2021 | 120.71 Mn |
API Access
Fair Isaac EBITDA 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=ebitda&ticker=FICO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=FICO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();