Fair Isaac (FICO) EBIT (2009 - 2026)
Fair Isaac (FICO) posted EBIT of $362.63 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 38.1% from $262.52 million a year earlier but down 9.9% from the prior quarter.
Fair Isaac (FICO) EBIT (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT at Fair Isaac was $1.24 billion, up 39.7% year-over-year; for FY2025 (ended Sep 30, 2025), it was $924.85 million, up 26.1% from FY2024.
- Annual EBIT has increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 25.6% (FY2020 to FY2025).
- In prior fiscal years, Fair Isaac's EBIT was $733.63 million in FY2024 (+14.1%), $642.83 million in FY2023 (+18.5%), $542.41 million in FY2022 (+7.3%) and $505.49 million in FY2021 (+70.8%).
- Quarterly EBIT has run from a low of $115.19 million in fiscal Q4 2021 to a high of $402.47 million in fiscal Q2 2026 over five years.
- On a year-over-year basis, EBIT has increased in each of the last 16 quarters, with growth averaging 31.8% over the last eight quarters.
- The strongest year-over-year quarter for EBIT in the past five years was fiscal Q2 2026, with growth of 63.8%; the weakest was fiscal Q3 2022, with a decline of 27.7%.
- According to Business Quant data, EBIT for the three prior fiscal quarters was $402.47 million (Q2 2026), $234.05 million (Q1 2026) and $237.16 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 912.00 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 6.73 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 3.07 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 2.33 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 162.00 Mn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | -1.82 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 475.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -8.33 Bn |
| 10 | Fair Isaac | 18.16 Bn | 17.40 Bn | 587.17 Mn | 362.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 362.63 Mn |
| Mar 31, 2026 | 402.47 Mn |
| Dec 31, 2025 | 234.05 Mn |
| Sep 30, 2025 | 237.16 Mn |
| Jun 30, 2025 | 262.52 Mn |
| Mar 31, 2025 | 245.65 Mn |
| Dec 31, 2024 | 179.53 Mn |
| Sep 30, 2024 | 197.18 Mn |
| Jun 30, 2024 | 190.25 Mn |
| Mar 31, 2024 | 194.84 Mn |
| Dec 31, 2023 | 151.36 Mn |
| Sep 30, 2023 | 165.70 Mn |
| Jun 30, 2023 | 177.03 Mn |
| Mar 31, 2023 | 159.76 Mn |
| Dec 31, 2022 | 140.34 Mn |
| Sep 30, 2022 | 134.16 Mn |
| Jun 30, 2022 | 140.62 Mn |
| Mar 31, 2022 | 152.06 Mn |
| Dec 31, 2021 | 115.59 Mn |
| Sep 30, 2021 | 115.19 Mn |
Fair Isaac EBIT 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=ebit&ticker=FICO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=FICO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();