Fair Isaac (FICO) Change in Accured Expenses (2009 - 2026)
Fair Isaac (FICO) recorded Change in Accured Expenses of $23.52 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 27.0% from $18.53 million a year earlier and up 123.9% from the prior quarter.
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Analysis
Fair Isaac (FICO) Change in Accured Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Fair Isaac's Change in Accured Expenses came in at $15.3 million as of Jun 30, 2026, up 372.6% year-over-year; for FY2025 (ended Sep 30, 2025), it was $10.07 million, up 215.0% from FY2024.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of -3.6% (FY2020 to FY2025).
- Across earlier fiscal years, Change in Accured Expenses came in at $3.2 million in FY2024 (-31.0%), $4.63 million in FY2023, -$3.64 million in FY2022 and -$13.14 million in FY2021.
- The fiscal Q3 2026 figure is the highest quarterly Change in Accured Expenses since fiscal Q3 2024.
- On a year-over-year basis, Change in Accured Expenses rose in two of the last four quarters, with growth averaging 5.4%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 58.0% in fiscal Q4 2022, against a decline of 82.6% in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $10.51 million (Q2 2026), -$38.45 million (Q1 2026) and $19.72 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 7.31 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | -1.08 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | - |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 891.00 Mn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 280.00 Mn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 200.00 Mn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 304.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -2.04 Mn |
| 10 | Fair Isaac | 18.16 Bn | 17.40 Bn | 587.17 Mn | 23.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.52 Mn |
| Mar 31, 2026 | 10.51 Mn |
| Dec 31, 2025 | -38.45 Mn |
| Sep 30, 2025 | 19.72 Mn |
| Jun 30, 2025 | 18.53 Mn |
| Mar 31, 2025 | -1.06 Mn |
| Dec 31, 2024 | -27.13 Mn |
| Sep 30, 2024 | 12.89 Mn |
| Jun 30, 2024 | 24.47 Mn |
| Mar 31, 2024 | 971,000.00 |
| Dec 31, 2023 | -35.14 Mn |
| Sep 30, 2023 | 19.56 Mn |
| Jun 30, 2023 | 17.39 Mn |
| Mar 31, 2023 | 5.57 Mn |
| Dec 31, 2022 | -37.88 Mn |
| Sep 30, 2022 | 18.72 Mn |
| Jun 30, 2022 | 19.39 Mn |
| Mar 31, 2022 | -1.41 Mn |
| Dec 31, 2021 | -40.34 Mn |
| Sep 30, 2021 | 11.85 Mn |
API Access
Fair Isaac Change in Accured 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=change-in-accured-expenses&ticker=FICO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=FICO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();