Fair Isaac (FICO) Accumulated Expenses (2010 - 2026)
Fair Isaac's Accumulated Expenses came in at $102.03 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 37.3% from $74.31 million a year earlier and up 3.5% from the prior quarter.
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Analysis
Fair Isaac (FICO) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Fair Isaac's Accumulated Expenses was $114.62 million, up 43.6% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 12.6% (FY2020 to FY2025).
- Going back by fiscal year, Accumulated Expenses was $79.81 million in FY2024 (+34.2%), $59.48 million in FY2023 (-10.2%), $66.25 million in FY2022 (-16.7%) and $79.54 million in FY2021 (+25.5%).
- The five-year range for quarterly Accumulated Expenses is $46.49 million (fiscal Q1 2024) to $114.62 million (fiscal Q4 2025).
- Year-over-year, Accumulated Expenses has increased for five consecutive quarters, with growth averaging 32.4% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q2 2026 (growth of 76.3%), and the weakest in fiscal Q1 2023 (a decline of 31.6%).
- Business Quant data shows FICO's Accumulated Expenses at $98.53 million (Q2 2026), $75.58 million (Q1 2026) and $114.62 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 102.03 Mn |
| Mar 31, 2026 | 98.53 Mn |
| Dec 31, 2025 | 75.58 Mn |
| Sep 30, 2025 | 114.62 Mn |
| Jun 30, 2025 | 74.31 Mn |
| Mar 31, 2025 | 55.89 Mn |
| Dec 31, 2024 | 50.66 Mn |
| Sep 30, 2024 | 79.81 Mn |
| Jun 30, 2024 | 57.74 Mn |
| Mar 31, 2024 | 68.94 Mn |
| Dec 31, 2023 | 46.49 Mn |
| Sep 30, 2023 | 59.48 Mn |
| Jun 30, 2023 | 50.31 Mn |
| Mar 31, 2023 | 68.15 Mn |
| Dec 31, 2022 | 51.38 Mn |
| Sep 30, 2022 | 66.25 Mn |
| Jun 30, 2022 | 57.78 Mn |
| Mar 31, 2022 | 71.63 Mn |
| Dec 31, 2021 | 75.07 Mn |
| Sep 30, 2021 | 79.54 Mn |
API Access
Fair Isaac Accumulated 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=accumulated-expenses&ticker=FICO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=FICO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();