Fair Isaac (FICO) Other Operating Expenses (2009 - 2026)
Fair Isaac (FICO) reported Other Operating Expenses of $87.02 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 0.6% from $87.57 million a year earlier and down 4.6% from the prior quarter.
Fair Isaac (FICO) Other Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Fair Isaac's Other Operating Expenses came in at $367.58 million, up 4.4% year-over-year; for FY2025 (ended Sep 30, 2025), it was $353.72 million, up 1.3% from FY2024.
- Other Operating Expenses has increased for four consecutive fiscal years, though with a five-year compound annual growth rate of -0.7% (FY2020 to FY2025).
- By fiscal year, Other Operating Expenses came in at $349.12 million in FY2024 (+12.5%), $310.21 million in FY2023 (+2.0%), $304.24 million in FY2022 (+29.1%) and $235.58 million in FY2021 (-35.7%).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Other Operating Expenses since fiscal Q1 2024.
- Year over year, Other Operating Expenses gained in five of the last eight quarters, with growth averaging 3.6%.
- The high point for year-over-year Other Operating Expenses in five years was fiscal Q3 2024 (growth of 22.7%); the low point was fiscal Q4 2021 (a decline of 22.9%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $91.2 million (Q2 2026), $87.26 million (Q1 2026) and $102.1 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 | 87.02 Mn |
| Mar 31, 2026 | 91.20 Mn |
| Dec 31, 2025 | 87.26 Mn |
| Sep 30, 2025 | 102.10 Mn |
| Jun 30, 2025 | 87.57 Mn |
| Mar 31, 2025 | 87.63 Mn |
| Dec 31, 2024 | 87.35 Mn |
| Sep 30, 2024 | 89.67 Mn |
| Jun 30, 2024 | 88.50 Mn |
| Mar 31, 2024 | 87.22 Mn |
| Dec 31, 2023 | 83.74 Mn |
| Sep 30, 2023 | 83.11 Mn |
| Jun 30, 2023 | 72.12 Mn |
| Mar 31, 2023 | 80.08 Mn |
| Dec 31, 2022 | 74.90 Mn |
| Sep 30, 2022 | 82.93 Mn |
| Jun 30, 2022 | 79.22 Mn |
| Mar 31, 2022 | 72.34 Mn |
| Dec 31, 2021 | 69.75 Mn |
| Sep 30, 2021 | 72.92 Mn |
Fair Isaac Other Operating 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=other-operating-expenses&ticker=FICO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=FICO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();