Thomson Reuters (TRI) Exchange Rate Effect (2009 - 2026)
Thomson Reuters (TRI) recorded Exchange Rate Effect of $1 million in Q3 2026, compared with -$2 million a year earlier.
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Analysis
Thomson Reuters (TRI) Exchange Rate Effect (2009 - 2026) Analysis & Trends
For FY2025, Thomson Reuters reported Exchange Rate Effect of $4 million.
- Across earlier years, Exchange Rate Effect came in at -$8 million in FY2024, $1 million in FY2023, -$6 million in FY2022 and -$5 million in FY2021.
- The Q3 2026 figure is the highest quarterly Exchange Rate Effect since Q2 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 404.71 Bn | 369.66 Bn | 1.93 Bn | 2.09 Mn |
| 2 | Oracle | 379.12 Bn | 251.67 Bn | 18.57 Bn | 11.00 Mn |
| 3 | Sap Se | 288.51 Bn | 216.50 Bn | 8.64 Bn | 32.21 Mn |
| 4 | Salesforce | 179.30 Bn | 135.17 Bn | 8.70 Bn | -75.00 Mn |
| 5 | Automatic Data Processing | 122.61 Bn | 109.40 Bn | 2.53 Bn | 6.60 Mn |
| 6 | ServiceNow | 106.15 Bn | 85.41 Bn | 2.90 Bn | 1.00 Mn |
| 7 | Intuit | 91.71 Bn | 71.06 Bn | 3.44 Bn | -11.00 Mn |
| 8 | Relx | 73.69 Bn | 73.69 Bn | - | - |
| 9 | Thomson Reuters | 48.63 Bn | 44.60 Bn | - | 1.00 Mn |
| 10 | Roper Technologies | 47.52 Bn | 46.16 Bn | 1.52 Bn | 3.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.00 Mn |
| 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 | 1.00 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 |
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();