Fair Isaac (FICO) Goodwill & Intangibles (2009 - 2026)
Fair Isaac's Goodwill & Intangibles came in at $791.82 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 0.8% from $785.45 million a year earlier and up 1.3% from the prior quarter.
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Analysis
Fair Isaac (FICO) Goodwill & Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Fair Isaac's Goodwill & Intangibles was $783.34 million, up 0.1% from FY2024.
- Goodwill & Intangibles has increased in each of the last three fiscal years, though with a five-year compound annual growth rate of -0.9% (FY2020 to FY2025).
- Going back by fiscal year, Goodwill & Intangibles was $782.75 million in FY2024 (+1.1%), $774.24 million in FY2023 (+1.5%), $763.08 million in FY2022 (-3.7%) and $792.28 million in FY2021 (-3.6%).
- The fiscal Q3 2026 figure represents the highest quarterly Goodwill & Intangibles since fiscal Q4 2021.
- Year-over-year, Goodwill & Intangibles has increased for six consecutive quarters, with growth averaging 0.6% over the last eight quarters.
- The fastest year-over-year change in Goodwill & Intangibles over five years came in fiscal Q4 2023 (growth of 1.5%), and the weakest in fiscal Q1 2022 (a decline of 4.3%).
- Business Quant data shows FICO's Goodwill & Intangibles at $781.39 million (Q2 2026), $783.52 million (Q1 2026) and $783.34 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 | 453.55 Bn | 422.61 Bn | 1.64 Bn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn |
| 10 | Fair Isaac | 14.28 Bn | 13.51 Bn | 587.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 791.82 Mn |
| Mar 31, 2026 | 781.39 Mn |
| Dec 31, 2025 | 783.52 Mn |
| Sep 30, 2025 | 783.34 Mn |
| Jun 30, 2025 | 785.45 Mn |
| Mar 31, 2025 | 779.28 Mn |
| Dec 31, 2024 | 775.55 Mn |
| Sep 30, 2024 | 782.75 Mn |
| Jun 30, 2024 | 776.81 Mn |
| Mar 31, 2024 | 776.74 Mn |
| Dec 31, 2023 | 777.84 Mn |
| Sep 30, 2023 | 774.24 Mn |
| Jun 30, 2023 | 777.81 Mn |
| Mar 31, 2023 | 775.80 Mn |
| Dec 31, 2022 | 773.20 Mn |
| Sep 30, 2022 | 763.08 Mn |
| Jun 30, 2022 | 775.13 Mn |
| Mar 31, 2022 | 786.75 Mn |
| Dec 31, 2021 | 790.82 Mn |
| Sep 30, 2021 | 792.28 Mn |
API Access
Fair Isaac Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=FICO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=FICO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();