Factset Research Systems (FDS) Exchange Rate Effect (2009 - 2026)
Factset Research Systems (FDS) posted Exchange Rate Effect of -$2.98 million for fiscal Q3 2026 (quarter ended May 31, 2026), compared with $10.01 million a year earlier.
Powered by 
Analysis
Factset Research Systems (FDS) Exchange Rate Effect (2009 - 2026) Analysis & Trends
For the trailing twelve months through May 31, 2026, Exchange Rate Effect at Factset Research Systems was -$594,000; for FY2025 (ended Aug 31, 2025), it was $3.05 million, up 29.0% from FY2024.
- Annual Exchange Rate Effect shows a five-year compound annual growth rate of -23.5% (FY2020 to FY2025).
- In prior fiscal years, Factset Research Systems' Exchange Rate Effect was $2.36 million in FY2024 (-41.1%), $4.02 million in FY2023, -$22.43 million in FY2022 and -$263,000 in FY2021.
- The fiscal Q3 2026 figure stands as the lowest quarterly Exchange Rate Effect since fiscal Q2 2025.
- According to Business Quant data, Exchange Rate Effect for the three prior fiscal quarters was $3.57 million (Q2 2026), -$2.27 million (Q1 2026) and $1.08 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | -14.00 Mn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 17.00 Mn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 1.20 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | -2.00 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | -900,000.00 |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 7.20 Mn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | -2.98 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | -2.40 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | -10.00 Mn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | -2.98 Mn |
| Feb 28, 2026 | 3.57 Mn |
| Nov 30, 2025 | -2.27 Mn |
| Aug 31, 2025 | 1.08 Mn |
| May 31, 2025 | 10.01 Mn |
| Feb 28, 2025 | -3.00 Mn |
| Nov 30, 2024 | -5.05 Mn |
| Aug 31, 2024 | 4.28 Mn |
| May 31, 2024 | -1.78 Mn |
| Feb 29, 2024 | -1.18 Mn |
| Nov 30, 2023 | 1.05 Mn |
| Aug 31, 2023 | 897,000.00 |
| May 31, 2023 | 420,000.00 |
| Feb 28, 2023 | 1.38 Mn |
| Nov 30, 2022 | 1.32 Mn |
| Aug 31, 2022 | -10.32 Mn |
| May 31, 2022 | -5.54 Mn |
| Feb 28, 2022 | -1.02 Mn |
| Nov 30, 2021 | -5.55 Mn |
| Aug 31, 2021 | -5.91 Mn |
API Access
Factset Research Systems 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=FDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "FDS", "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=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();