Thomson Reuters (TRI) Exchange Rate Effect (2009 - 2026)
Thomson Reuters (TRI) recorded Exchange Rate Effect of $4 million in FY2025, compared with -$8 million in FY2024.
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Analysis
Thomson Reuters (TRI) Exchange Rate Effect (2009 - 2026) Analysis & Trends
Starting with FY2009, Thomson Reuters' Exchange Rate Effect history includes 11 years.
- The FY2025 figure is the highest annual Exchange Rate Effect since FY2019.
- Per Business Quant data, TRI's Exchange Rate Effect was -$8 million in FY2024, $1 million in FY2023, -$6 million in FY2022 and -$5 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 472.77 Bn | 441.83 Bn | 1.64 Bn | 292,000.00 |
| 2 | Oracle | 381.27 Bn | 253.82 Bn | - | 11.00 Mn |
| 3 | Sap Se | 292.64 Bn | 221.00 Bn | 8.40 Bn | -43.01 Mn |
| 4 | Salesforce | 204.54 Bn | 160.41 Bn | 8.70 Bn | -75.00 Mn |
| 5 | ServiceNow | 164.40 Bn | 142.85 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 120.99 Bn | 103.12 Bn | 2.51 Bn | -24.10 Mn |
| 7 | Intuit | 92.16 Bn | 71.51 Bn | 3.44 Bn | -11.00 Mn |
| 8 | Relx | 73.71 Bn | 72.82 Bn | - | - |
| 9 | Thomson Reuters | 54.81 Bn | 51.59 Bn | - | - |
| 10 | Strategy | 51.39 Bn | 44.38 Bn | 81.55 Mn | -518,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -1.00 Mn |
| Sep 30, 2025 | -2.00 Mn |
| Jun 30, 2025 | 4.00 Mn |
| Mar 31, 2025 | 2.00 Mn |
| Dec 31, 2024 | -6.00 Mn |
| Sep 30, 2024 | 3.00 Mn |
| Jun 30, 2024 | -3.00 Mn |
| Mar 31, 2024 | -2.00 Mn |
| Dec 31, 2023 | 2.00 Mn |
| Sep 30, 2023 | -2.00 Mn |
| Mar 31, 2023 | 1.00 Mn |
| Dec 31, 2022 | 2.00 Mn |
| Sep 30, 2022 | -4.00 Mn |
| Jun 30, 2022 | -4.00 Mn |
| Dec 31, 2021 | -2.00 Mn |
| Sep 30, 2021 | -3.00 Mn |
| Jun 30, 2021 | 1.00 Mn |
| Mar 31, 2021 | -1.00 Mn |
| Dec 31, 2020 | 4.00 Mn |
| Sep 30, 2020 | 5.00 Mn |
API Access
Thomson Reuters 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=TRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "TRI", "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=TRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();