Fair Isaac (FICO) Total Liabilities (2009 - 2026)
Fair Isaac (FICO) posted Total Liabilities of $6.13 billion for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 88.2% from $3.26 billion a year earlier and up 47.8% from the prior quarter.
Fair Isaac (FICO) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Fair Isaac's Total Liabilities came in at $3.61 billion, up 34.8% from FY2024.
- Annual Total Liabilities has increased for nine consecutive fiscal years, with a five-year compound annual growth rate of 23.2% (FY2020 to FY2025).
- In prior fiscal years, Fair Isaac's Total Liabilities was $2.68 billion in FY2024 (+18.4%), $2.26 billion in FY2023 (+0.9%), $2.24 billion in FY2022 (+33.7%) and $1.68 billion in FY2021 (+31.6%).
- The fiscal Q3 2026 figure stands as the highest quarterly Total Liabilities in data going back to fiscal Q4 2009.
- On a year-over-year basis, Total Liabilities has increased in each of the last 12 quarters, with growth averaging 35.4% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q3 2026, with growth of 88.2%; the weakest was fiscal Q3 2023, with a decline of 0.7%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $4.15 billion (Q2 2026), $3.66 billion (Q1 2026) and $3.61 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 1.79 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 236.06 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 35.29 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 71.24 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 19.15 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 57.16 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 17.79 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 18.48 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 21.68 Bn |
| 10 | Fair Isaac | 18.16 Bn | 17.40 Bn | 587.17 Mn | 6.13 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.13 Bn |
| Mar 31, 2026 | 4.15 Bn |
| Dec 31, 2025 | 3.66 Bn |
| Sep 30, 2025 | 3.61 Bn |
| Jun 30, 2025 | 3.26 Bn |
| Mar 31, 2025 | 2.96 Bn |
| Dec 31, 2024 | 2.84 Bn |
| Sep 30, 2024 | 2.68 Bn |
| Jun 30, 2024 | 2.54 Bn |
| Mar 31, 2024 | 2.44 Bn |
| Dec 31, 2023 | 2.32 Bn |
| Sep 30, 2023 | 2.26 Bn |
| Jun 30, 2023 | 2.29 Bn |
| Mar 31, 2023 | 2.27 Bn |
| Dec 31, 2022 | 2.26 Bn |
| Sep 30, 2022 | 2.24 Bn |
| Jun 30, 2022 | 2.30 Bn |
| Mar 31, 2022 | 2.15 Bn |
| Dec 31, 2021 | 2.00 Bn |
| Sep 30, 2021 | 1.68 Bn |
Fair Isaac Total Liabilities 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=total-liabilities&ticker=FICO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=FICO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();