Fair Isaac (FICO) Exchange Rate Effect (2009 - 2026)
Fair Isaac's Exchange Rate Effect was -$186,000 in fiscal Q3 2026 (quarter ended Jun 30, 2026), compared with $5.76 million a year earlier.
Fair Isaac (FICO) Exchange Rate Effect (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Fair Isaac's Exchange Rate Effect was -$3.67 million through Jun 30, 2026; for FY2025 (ended Sep 30, 2025), it came in at -$1.29 million.
- In earlier fiscal years, Exchange Rate Effect was $1.84 million in FY2024 (-67.2%), $5.62 million in FY2023, -$18.77 million in FY2022 and -$136,000 in FY2021.
- Quarterly Exchange Rate Effect has moved between -$8.53 million (fiscal Q4 2022) and $5.76 million (fiscal Q3 2025) over five years.
- Per Business Quant data, FICO's Exchange Rate Effect in the three fiscal quarters before Q3 2026 was -$1.8 million (Q2 2026), $32,000 (Q1 2026) and -$1.72 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 292,000.00 |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 11.00 Mn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -43.01 Mn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | -75.00 Mn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | -24.10 Mn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | -11.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -518,000.00 |
| 10 | Fair Isaac | 18.16 Bn | 17.40 Bn | 587.17 Mn | -186,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -186,000.00 |
| Mar 31, 2026 | -1.80 Mn |
| Dec 31, 2025 | 32,000.00 |
| Sep 30, 2025 | -1.72 Mn |
| Jun 30, 2025 | 5.76 Mn |
| Mar 31, 2025 | 1.92 Mn |
| Dec 31, 2024 | -7.25 Mn |
| Sep 30, 2024 | 3.65 Mn |
| Jun 30, 2024 | -2.80 Mn |
| Mar 31, 2024 | -2.81 Mn |
| Dec 31, 2023 | 3.81 Mn |
| Sep 30, 2023 | -3.55 Mn |
| Jun 30, 2023 | 1.71 Mn |
| Mar 31, 2023 | 3.03 Mn |
| Dec 31, 2022 | 4.43 Mn |
| Sep 30, 2022 | -8.53 Mn |
| Jun 30, 2022 | -8.45 Mn |
| Mar 31, 2022 | -416,000.00 |
| Dec 31, 2021 | -1.38 Mn |
| Sep 30, 2021 | -5.27 Mn |
Fair Isaac Exchange Rate Effect 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=exchange-rate-effect&ticker=FICO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=FICO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();