Factset Research Systems (FDS) Exchange Rate Effect (2009 - 2026)
Factset Research Systems (FDS) posted Exchange Rate Effect of -$631,000 for fiscal Q4 2026 (quarter ended Aug 31, 2026), compared with $1.08 million a year earlier.
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Analysis
Factset Research Systems (FDS) Exchange Rate Effect (2009 - 2026) Analysis & Trends
For FY2026 (ended Aug 31, 2026), Factset Research Systems' Exchange Rate Effect came in at -$2.31 million.
- In prior fiscal years, Factset Research Systems' Exchange Rate Effect was $3.05 million in FY2025 (+29.0%), $2.36 million in FY2024 (-41.1%), $4.02 million in FY2023 and -$22.43 million in FY2022.
- Quarterly Exchange Rate Effect has run from a low of -$10.32 million in fiscal Q4 2022 to a high of $10.01 million in fiscal Q3 2025 over five years.
- According to Business Quant data, Exchange Rate Effect for the three prior fiscal quarters was -$2.98 million (Q3 2026), $3.57 million (Q2 2026) and -$2.27 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 136.14 Bn | 125.99 Bn | 2.64 Bn | 3.00 Mn |
| 2 | Moodys | 87.37 Bn | 80.29 Bn | 1.50 Bn | 5.00 Mn |
| 3 | Msci | 46.53 Bn | 45.01 Bn | 739.80 Mn | -100,000.00 |
| 4 | Verisk Analytics | 25.76 Bn | 20.40 Bn | 572.90 Mn | -2.00 Mn |
| 5 | Equifax | 21.57 Bn | 20.84 Bn | 940.10 Mn | -800,000.00 |
| 6 | TransUnion | 15.42 Bn | 12.11 Bn | - | -6.70 Mn |
| 7 | Factset Research Systems | 11.51 Bn | 10.36 Bn | 308.40 Mn | -631,000.00 |
| 8 | Morningstar | 9.02 Bn | 6.91 Bn | 431.40 Mn | 500,000.00 |
| 9 | Mastercard | 571.76 Bn | 531.85 Bn | - | -11.00 Mn |
| 10 | Cme | 109.34 Bn | 97.67 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | -631,000.00 |
| 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 |
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();