Fair Isaac (FICO) Long-Term Debt Repayments (2016 - 2026)
Fair Isaac (FICO) posted Long-Term Debt Repayments of $63,000 for fiscal Q3 2025 (quarter ended Jun 30, 2025).
Analysis
Fair Isaac (FICO) Long-Term Debt Repayments (2016 - 2026) Analysis & Trends
For FY2024 (ended Sep 30, 2024), Fair Isaac's Long-Term Debt Repayments came in at $1.33 million.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of 7.1% (FY2019 to FY2024).
- In prior fiscal years, Fair Isaac's Long-Term Debt Repayments was $176,000 in FY2021 (-89.7%) and $1.72 million in FY2020 (+81.6%).
- The fiscal Q3 2025 figure stands as the highest quarterly Long-Term Debt Repayments since fiscal Q4 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 462.03 Bn | 430.98 Bn | 1.64 Bn | - |
| 2 | Oracle | 387.48 Bn | 259.61 Bn | - | 4.20 Bn |
| 3 | Sap Se | 266.80 Bn | 194.59 Bn | 8.40 Bn | -1.86 Bn |
| 4 | Salesforce | 199.03 Bn | 154.91 Bn | 8.70 Bn | 176.00 Mn |
| 5 | ServiceNow | 154.48 Bn | 132.94 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 117.71 Bn | 99.83 Bn | 2.51 Bn | 300,000.00 |
| 7 | Intuit | 92.43 Bn | 71.78 Bn | 3.44 Bn | - |
| 8 | Relx | 72.15 Bn | 71.24 Bn | - | - |
| 9 | Thomson Reuters | 50.59 Bn | 47.38 Bn | - | 500.00 Mn |
| 10 | Fair Isaac | 18.05 Bn | 17.29 Bn | 587.17 Mn | 116,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 116,000.00 |
| Jun 30, 2025 | 63,000.00 |
| Sep 30, 2019 | 28.95 Mn |
| Sep 30, 2017 | 72.00 Mn |
| Sep 30, 2016 | 60.00 Mn |
API Access
Fair Isaac Long-Term Debt Repayments 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-debt-repayments&ticker=FICO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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-debt-repayments&ticker=FICO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();