Fair Isaac (FICO) Price to Earnings (2010 - 2026)
Fair Isaac's (FICO) Price to Earnings stood at 31.66 in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 54.5% from 69.63 a year earlier and down 3.3% from the prior quarter.
Fair Isaac (FICO) Price to Earnings (2010 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Fair Isaac's Price to Earnings came in at 54.55, down 41.0% from FY2024.
- Across earlier fiscal years, Price to Earnings came in at 92.44 in FY2024 (+84.5%), 50.10 in FY2023 (+80.6%), 27.74 in FY2022 (-0.8%) and 27.98 in FY2021 (-46.6%).
- The fiscal Q3 2026 figure is the lowest quarterly Price to Earnings since fiscal Q4 2022.
- On a year-over-year basis, Price to Earnings has declined for five consecutive quarters, with an average decline of 6.1% over the last eight quarters.
- Peak year-over-year performance for Price to Earnings in the last five years was growth of 84.5% in fiscal Q4 2024, against a decline of 57.9% in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 32.74 (Q2 2026), 61.07 (Q1 2026) and 54.55 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn |
| 10 | Fair Isaac | 18.16 Bn | 17.40 Bn | 587.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.66 |
| Mar 31, 2026 | 32.74 |
| Dec 31, 2025 | 61.07 |
| Sep 30, 2025 | 54.55 |
| Jun 30, 2025 | 69.63 |
| Mar 31, 2025 | 77.82 |
| Dec 31, 2024 | 89.41 |
| Sep 30, 2024 | 92.44 |
| Jun 30, 2024 | 76.41 |
| Mar 31, 2024 | 64.30 |
| Dec 31, 2023 | 63.96 |
| Sep 30, 2023 | 50.10 |
| Jun 30, 2023 | 48.11 |
| Mar 31, 2023 | 45.85 |
| Dec 31, 2022 | 38.99 |
| Sep 30, 2022 | 27.74 |
| Jun 30, 2022 | 27.47 |
| Mar 31, 2022 | 28.43 |
| Dec 31, 2021 | 29.44 |
| Sep 30, 2021 | 27.98 |
Fair Isaac Price to 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=price-to-earnings&ticker=FICO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-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=price-to-earnings&ticker=FICO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();