Fair Isaac (FICO) Retained Earnings (2009 - 2026)
Fair Isaac (FICO) reported Retained Earnings of $5.21 billion for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 18.5% from $4.4 billion a year earlier and up 4.8% from the prior quarter.
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Analysis
Fair Isaac (FICO) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Fair Isaac posted Retained Earnings of $4.55 billion, up 16.7% from FY2024.
- Retained Earnings has increased for 16 consecutive fiscal years, with a five-year compound annual growth rate of 15.7% (FY2020 to FY2025).
- By fiscal year, Retained Earnings came in at $3.9 billion in FY2024 (+15.1%), $3.39 billion in FY2023 (+14.5%), $2.96 billion in FY2022 (+14.4%) and $2.59 billion in FY2021 (+17.9%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Retained Earnings in data going back to fiscal Q4 2009.
- Year over year, Retained Earnings has now increased in each of the last 61 quarters, with growth averaging 16.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Retained Earnings ran from 13.8% in fiscal Q2 2023 to 18.5% in fiscal Q3 2026.
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $4.98 billion (Q2 2026), $4.71 billion (Q1 2026) and $4.55 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | -1.63 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | -1.11 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 56.47 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 27.11 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 6.01 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 26.97 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 19.05 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -15.20 Bn |
| 10 | Fair Isaac | 18.16 Bn | 17.40 Bn | 587.17 Mn | 5.21 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.21 Bn |
| Mar 31, 2026 | 4.98 Bn |
| Dec 31, 2025 | 4.71 Bn |
| Sep 30, 2025 | 4.55 Bn |
| Jun 30, 2025 | 4.40 Bn |
| Mar 31, 2025 | 4.22 Bn |
| Dec 31, 2024 | 4.05 Bn |
| Sep 30, 2024 | 3.90 Bn |
| Jun 30, 2024 | 3.77 Bn |
| Mar 31, 2024 | 3.64 Bn |
| Dec 31, 2023 | 3.51 Bn |
| Sep 30, 2023 | 3.39 Bn |
| Jun 30, 2023 | 3.29 Bn |
| Mar 31, 2023 | 3.16 Bn |
| Dec 31, 2022 | 3.06 Bn |
| Sep 30, 2022 | 2.96 Bn |
| Jun 30, 2022 | 2.87 Bn |
| Mar 31, 2022 | 2.77 Bn |
| Dec 31, 2021 | 2.67 Bn |
| Sep 30, 2021 | 2.59 Bn |
API Access
Fair Isaac Retained Earnings 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=retained-earnings&ticker=FICO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=FICO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();