Fair Isaac (FICO) Long-Term Investments (2009 - 2026)
Fair Isaac (FICO) recorded Long-Term Investments of $56.09 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 10.6% from $50.73 million a year earlier and up 5.7% from the prior quarter.
Fair Isaac (FICO) Long-Term Investments (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Fair Isaac reported Long-Term Investments of $54.63 million, up 20.6% from FY2024.
- Annual Long-Term Investments has increased for three straight fiscal years, with a five-year compound annual growth rate of 16.4% (FY2020 to FY2025).
- Across earlier fiscal years, Long-Term Investments came in at $45.29 million in FY2024 (+37.2%), $33.01 million in FY2023 (+34.7%), $24.52 million in FY2022 (-23.1%) and $31.88 million in FY2021 (+25.0%).
- The fiscal Q3 2026 figure is the highest quarterly Long-Term Investments since fiscal Q4 2009.
- On a year-over-year basis, Long-Term Investments has increased for 13 consecutive quarters, with growth averaging 19.9% over the last eight quarters.
- Peak year-over-year performance for Long-Term Investments in the last five years was growth of 40.3% in fiscal Q1 2024, against a decline of 23.3% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $53.05 million (Q2 2026), $55.87 million (Q1 2026) and $54.63 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (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 | 11.32 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 2.07 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 | 248.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 213.33 Mn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | - |
| 10 | Fair Isaac | 18.16 Bn | 17.40 Bn | 587.17 Mn | 56.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.09 Mn |
| Mar 31, 2026 | 53.05 Mn |
| Dec 31, 2025 | 55.87 Mn |
| Sep 30, 2025 | 54.63 Mn |
| Jun 30, 2025 | 50.73 Mn |
| Mar 31, 2025 | 45.40 Mn |
| Dec 31, 2024 | 45.93 Mn |
| Sep 30, 2024 | 45.29 Mn |
| Jun 30, 2024 | 42.78 Mn |
| Mar 31, 2024 | 41.41 Mn |
| Dec 31, 2023 | 36.96 Mn |
| Sep 30, 2023 | 33.01 Mn |
| Jun 30, 2023 | 32.05 Mn |
| Mar 31, 2023 | 29.58 Mn |
| Dec 31, 2022 | 26.33 Mn |
| Sep 30, 2022 | 24.52 Mn |
| Jun 30, 2022 | 25.35 Mn |
| Mar 31, 2022 | 31.30 Mn |
| Dec 31, 2021 | 33.93 Mn |
| Sep 30, 2021 | 31.88 Mn |
Fair Isaac Long-Term Investments 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=long-term-investments&ticker=FICO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=FICO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();