Fair Isaac (FICO) Shares Outstanding (Diluted) (2009 - 2026)
Fair Isaac's Shares Outstanding (Diluted) was 22.7 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 7.6% from 24.58 million a year earlier and down 4.4% from the prior quarter.
Fair Isaac (FICO) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Shares Outstanding (Diluted) at Fair Isaac came in at 24.56 million, down 2.1% from FY2024.
- Shares Outstanding (Diluted) has now declined for 12 consecutive fiscal years, with a five-year compound annual growth rate of -3.9% (FY2020 to FY2025).
- In earlier fiscal years, Shares Outstanding (Diluted) was 25.08 million in FY2024 (-1.1%), 25.37 million in FY2023 (-3.7%), 26.35 million in FY2022 (-10.0%) and 29.26 million in FY2021 (-2.2%).
- The fiscal Q3 2026 figure marks the lowest quarterly Shares Outstanding (Diluted) in data going back to fiscal Q3 2009.
- Compared with a year earlier, Shares Outstanding (Diluted) has declined for 37 straight quarters, with an average decline of 2.9% over the last eight quarters.
- Across the past five years, year-over-year decline in Shares Outstanding (Diluted) ran from 0.9% in fiscal Q1 2024 to 11.4% in fiscal Q3 2022.
- Per Business Quant data, FICO's Shares Outstanding (Diluted) in the three fiscal quarters before Q3 2026 was 23.75 million (Q2 2026), 23.96 million (Q1 2026) and 24.56 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 2.57 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 3.00 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 1.18 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 821.00 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 | 403.30 Mn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 277.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 1.84 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 | 22.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.70 Mn |
| Mar 31, 2026 | 23.75 Mn |
| Dec 31, 2025 | 23.96 Mn |
| Sep 30, 2025 | 24.56 Mn |
| Jun 30, 2025 | 24.58 Mn |
| Mar 31, 2025 | 24.69 Mn |
| Dec 31, 2024 | 24.83 Mn |
| Sep 30, 2024 | 25.08 Mn |
| Jun 30, 2024 | 25.02 Mn |
| Mar 31, 2024 | 25.15 Mn |
| Dec 31, 2023 | 25.22 Mn |
| Sep 30, 2023 | 25.37 Mn |
| Jun 30, 2023 | 25.34 Mn |
| Mar 31, 2023 | 25.42 Mn |
| Dec 31, 2022 | 25.44 Mn |
| Sep 30, 2022 | 26.35 Mn |
| Jun 30, 2022 | 25.87 Mn |
| Mar 31, 2022 | 26.42 Mn |
| Dec 31, 2021 | 27.52 Mn |
| Sep 30, 2021 | 29.26 Mn |
Fair Isaac Shares Outstanding (Diluted) 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-diluted&ticker=FICO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=FICO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();