Fair Isaac (FICO) Interest Expenses (2009 - 2026)
Fair Isaac (FICO) reported Interest Expenses of $59.88 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 82.0% from $32.9 million a year earlier and up 34.3% from the prior quarter.
Fair Isaac (FICO) Interest Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Fair Isaac's Interest Expenses came in at $186.34 million, up 52.4% year-over-year; for FY2025 (ended Sep 30, 2025), it was $133.65 million, up 26.5% from FY2024.
- Interest Expenses has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 25.9% (FY2020 to FY2025).
- By fiscal year, Interest Expenses came in at $105.64 million in FY2024 (+10.6%), $95.55 million in FY2023 (+38.5%), $68.97 million in FY2022 (+72.0%) and $40.09 million in FY2021 (-4.9%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Interest Expenses in data going back to fiscal Q3 2009.
- Year over year, Interest Expenses has now increased in each of the last 20 quarters, with growth averaging 36.1% over the last eight quarters.
- The year-over-year growth in Interest Expenses has ranged between 5.6% (fiscal Q4 2021) and 98.7% (fiscal Q4 2022) over the last five years.
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $44.58 million (Q2 2026), $42.01 million (Q1 2026) and $39.88 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | - |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 1.43 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -375.44 Mn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 473.00 Mn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 121.00 Mn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 70.00 Mn |
| 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 | 59.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.88 Mn |
| Mar 31, 2026 | 44.58 Mn |
| Dec 31, 2025 | 42.01 Mn |
| Sep 30, 2025 | 39.88 Mn |
| Jun 30, 2025 | 32.90 Mn |
| Mar 31, 2025 | 31.38 Mn |
| Dec 31, 2024 | 29.49 Mn |
| Sep 30, 2024 | 28.52 Mn |
| Jun 30, 2024 | 26.87 Mn |
| Mar 31, 2024 | 26.09 Mn |
| Dec 31, 2023 | 24.16 Mn |
| Sep 30, 2023 | 24.30 Mn |
| Jun 30, 2023 | 24.55 Mn |
| Mar 31, 2023 | 23.90 Mn |
| Dec 31, 2022 | 22.80 Mn |
| Sep 30, 2022 | 20.84 Mn |
| Jun 30, 2022 | 18.72 Mn |
| Mar 31, 2022 | 17.21 Mn |
| Dec 31, 2021 | 12.20 Mn |
| Sep 30, 2021 | 10.49 Mn |
Fair Isaac Interest Expenses 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=interest-expenses&ticker=FICO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=FICO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();