Fair Isaac (FICO) Operating Leases (2019 - 2026)
Fair Isaac (FICO) recorded Operating Leases of $15.62 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 26.1% from $21.12 million a year earlier and down 11.0% from the prior quarter.
Fair Isaac (FICO) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Fair Isaac reported Operating Leases of $19.19 million, down 12.6% from FY2024.
- Annual Operating Leases has declined for five straight fiscal years, with a five-year compound annual growth rate of -23.5% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Leases came in at $21.96 million in FY2024 (-8.1%), $23.9 million in FY2023 (-39.0%), $39.19 million in FY2022 (-27.0%) and $53.67 million in FY2021 (-26.7%).
- The fiscal Q3 2026 figure is the lowest quarterly Operating Leases since fiscal Q1 2024.
- On a year-over-year basis, Operating Leases has declined for four consecutive quarters, with growth averaging 1.8% over the last eight quarters.
- Peak year-over-year performance for Operating Leases in the last five years was growth of 75.5% in fiscal Q1 2025, against a decline of 63.3% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $17.56 million (Q2 2026), $17.9 million (Q1 2026) and $19.19 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn |
| 10 | Fair Isaac | 18.16 Bn | 17.40 Bn | 587.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.62 Mn |
| Mar 31, 2026 | 17.56 Mn |
| Dec 31, 2025 | 17.90 Mn |
| Sep 30, 2025 | 19.19 Mn |
| Jun 30, 2025 | 21.12 Mn |
| Mar 31, 2025 | 20.82 Mn |
| Dec 31, 2024 | 20.88 Mn |
| Sep 30, 2024 | 21.96 Mn |
| Jun 30, 2024 | 18.42 Mn |
| Mar 31, 2024 | 20.56 Mn |
| Dec 31, 2023 | 11.90 Mn |
| Sep 30, 2023 | 23.90 Mn |
| Jun 30, 2023 | 24.62 Mn |
| Mar 31, 2023 | 28.83 Mn |
| Dec 31, 2022 | 32.40 Mn |
| Sep 30, 2022 | 39.19 Mn |
| Jun 30, 2022 | 42.97 Mn |
| Mar 31, 2022 | 47.36 Mn |
| Dec 31, 2021 | 50.97 Mn |
| Sep 30, 2021 | 53.67 Mn |
Fair Isaac Operating Leases 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=operating-leases&ticker=FICO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=FICO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();