Fair Isaac (FICO) Shares Outstanding (2009 - 2026)
Fair Isaac (FICO) posted Shares Outstanding of 22.67 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 6.6% from 24.28 million a year earlier and down 4.1% from the prior quarter.
Fair Isaac (FICO) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Fair Isaac's Shares Outstanding came in at 24.24 million, down 1.8% from FY2024.
- Annual Shares Outstanding has declined for five consecutive fiscal years, with a five-year compound annual growth rate of -3.6% (FY2020 to FY2025).
- In prior fiscal years, Fair Isaac's Shares Outstanding was 24.68 million in FY2024 (-1.2%), 24.99 million in FY2023 (-4.1%), 26.04 million in FY2022 (-9.4%) and 28.73 million in FY2021 (-1.1%).
- The fiscal Q3 2026 figure stands as the lowest quarterly Shares Outstanding in data going back to fiscal Q3 2009.
- On a year-over-year basis, Shares Outstanding has declined in each of the last 22 quarters, with an average decline of 2.5% over the last eight quarters.
- Over the past five years, the year-over-year decline in Shares Outstanding ranged from 1.1% (fiscal Q1 2024) to 10.6% (fiscal Q3 2022).
- According to Business Quant data, Shares Outstanding for the three prior fiscal quarters was 23.63 million (Q2 2026), 23.72 million (Q1 2026) and 24.24 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 2.40 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 2.97 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 1.17 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 820.00 Mn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 1.03 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 402.30 Mn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 276.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 1.83 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 352.53 Mn |
| 10 | Fair Isaac | 18.16 Bn | 17.40 Bn | 587.17 Mn | 22.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.67 Mn |
| Mar 31, 2026 | 23.63 Mn |
| Dec 31, 2025 | 23.72 Mn |
| Sep 30, 2025 | 24.24 Mn |
| Jun 30, 2025 | 24.28 Mn |
| Mar 31, 2025 | 24.39 Mn |
| Dec 31, 2024 | 24.38 Mn |
| Sep 30, 2024 | 24.68 Mn |
| Jun 30, 2024 | 24.65 Mn |
| Mar 31, 2024 | 24.82 Mn |
| Dec 31, 2023 | 24.76 Mn |
| Sep 30, 2023 | 24.99 Mn |
| Jun 30, 2023 | 24.96 Mn |
| Mar 31, 2023 | 25.12 Mn |
| Dec 31, 2022 | 25.05 Mn |
| Sep 30, 2022 | 26.04 Mn |
| Jun 30, 2022 | 25.63 Mn |
| Mar 31, 2022 | 26.15 Mn |
| Dec 31, 2021 | 27.17 Mn |
| Sep 30, 2021 | 28.73 Mn |
Fair Isaac Shares Outstanding 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=shares-outstanding&ticker=FICO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=FICO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();