Fair Isaac (FICO) Tax Provisions (2009 - 2026)
Fair Isaac's Tax Provisions came in at $77.49 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 40.4% from $55.2 million a year earlier but down 15.4% from the prior quarter.
Fair Isaac (FICO) Tax Provisions (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Fair Isaac reported Tax Provisions of $250.06 million, up 80.0% year-over-year; for FY2025 (ended Sep 30, 2025), it was $150.65 million, up 16.6% from FY2024.
- Tax Provisions has increased in each of the last five fiscal years, with a five-year compound annual growth rate of 48.9% (FY2020 to FY2025).
- Going back by fiscal year, Tax Provisions was $129.21 million in FY2024 (+4.0%), $124.25 million in FY2023 (+27.1%), $97.77 million in FY2022 (+20.6%) and $81.06 million in FY2021 (+293.7%).
- The five-year range for quarterly Tax Provisions is -$2.4 million (fiscal Q1 2025) to $91.57 million (fiscal Q2 2026).
- Year-over-year, Tax Provisions increased in five of the last six quarters, with growth averaging 33.0%.
- The fastest year-over-year change in Tax Provisions over five years came in fiscal Q2 2026 (growth of 81.7%), and the weakest in fiscal Q1 2024 (a decline of 53.0%).
- Business Quant data shows FICO's Tax Provisions at $91.57 million (Q2 2026), $33.56 million (Q1 2026) and $47.45 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 15.38 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 847.00 Mn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -926.40 Mn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 1.03 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 140.00 Mn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 279.20 Mn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 177.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 1.56 Mn |
| 10 | Fair Isaac | 18.16 Bn | 17.40 Bn | 587.17 Mn | 77.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 77.49 Mn |
| Mar 31, 2026 | 91.57 Mn |
| Dec 31, 2025 | 33.56 Mn |
| Sep 30, 2025 | 47.45 Mn |
| Jun 30, 2025 | 55.20 Mn |
| Mar 31, 2025 | 50.40 Mn |
| Dec 31, 2024 | -2.40 Mn |
| Sep 30, 2024 | 35.69 Mn |
| Jun 30, 2024 | 41.06 Mn |
| Mar 31, 2024 | 42.94 Mn |
| Dec 31, 2023 | 9.53 Mn |
| Sep 30, 2023 | 39.04 Mn |
| Jun 30, 2023 | 29.03 Mn |
| Mar 31, 2023 | 35.92 Mn |
| Dec 31, 2022 | 20.26 Mn |
| Sep 30, 2022 | 22.41 Mn |
| Jun 30, 2022 | 27.39 Mn |
| Mar 31, 2022 | 28.10 Mn |
| Dec 31, 2021 | 19.86 Mn |
| Sep 30, 2021 | 19.75 Mn |
Fair Isaac Tax Provisions 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=tax-provisions&ticker=FICO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=FICO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();