Fair Isaac (FICO) EBITDA Margin (2009 - 2026)
Fair Isaac (FICO) reported EBITDA Margin of 54.41% for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 4.73 percentage points from 49.68% a year earlier but down 4.34 percentage points from the prior quarter.
Fair Isaac (FICO) EBITDA Margin (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Fair Isaac's EBITDA Margin came in at 52.33%, up 5.69 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it came in at 47.21%, up 3.69 percentage points from FY2024.
- EBITDA Margin has increased for seven consecutive fiscal years, with a five-year change of +22.00 percentage points (FY2020 to FY2025).
- By fiscal year, EBITDA Margin came in at 43.52% in FY2024 (+0.08 pp), 43.44% in FY2023 (+2.57 pp), 40.87% in FY2022 (+0.53 pp) and 40.34% in FY2021 (+15.13 pp).
- Five-year quarterly EBITDA Margin spans a low of 36.08% in fiscal Q4 2021 and a high of 58.75% in fiscal Q2 2026.
- Year over year, EBITDA Margin has now increased in each of the last eight quarters, with an average year-over-year change of +4.22 percentage points over the last eight quarters.
- The high point for year-over-year EBITDA Margin in five years was fiscal Q2 2022 (a gain of 11.53 percentage points); the low point was fiscal Q3 2022 (a drop of 17.59 percentage points).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 58.75% (Q2 2026), 46.50% (Q1 2026) and 46.76% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 47.55% |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 52.36% |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 29.96% |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 34.25% |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 18.59% |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | -25.13% |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 15.92% |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -6,798.02% |
| 10 | Fair Isaac | 18.16 Bn | 17.40 Bn | 587.17 Mn | 54.41% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 54.41% |
| Mar 31, 2026 | 58.75% |
| Dec 31, 2025 | 46.50% |
| Sep 30, 2025 | 46.76% |
| Jun 30, 2025 | 49.68% |
| Mar 31, 2025 | 49.94% |
| Dec 31, 2024 | 41.61% |
| Sep 30, 2024 | 44.29% |
| Jun 30, 2024 | 43.34% |
| Mar 31, 2024 | 45.69% |
| Dec 31, 2023 | 40.36% |
| Sep 30, 2023 | 43.28% |
| Jun 30, 2023 | 45.24% |
| Mar 31, 2023 | 43.07% |
| Dec 31, 2022 | 41.93% |
| Sep 30, 2022 | 39.80% |
| Jun 30, 2022 | 41.77% |
| Mar 31, 2022 | 44.09% |
| Dec 31, 2021 | 37.48% |
| Sep 30, 2021 | 36.08% |
Fair Isaac EBITDA Margin 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-margin&ticker=FICO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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-margin&ticker=FICO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();