Thomson Reuters (TRI) EBITDA (2009 - 2026)
Thomson Reuters' EBITDA came in at $384 million for Q2 2026, up 34.3% from $286 million a year earlier but down 44.4% from the prior quarter.
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Analysis
Thomson Reuters (TRI) EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Thomson Reuters reported EBITDA of $2.11 billion, up 33.0% year-over-year; for FY2025, it came in at $2.34 billion, up 45.9% from FY2024.
- EBITDA carries a five-year compound annual growth rate of 7.5% (FY2020 to FY2025).
- Going back by year, EBITDA was $1.6 billion in FY2024 (-17.1%), $1.94 billion in FY2023 (+30.0%), $1.49 billion in FY2022 (+57.6%) and $945 million in FY2021 (-42.0%).
- The five-year range for quarterly EBITDA is $188 million (Q4 2021) to $727 million (Q2 2023).
- Year-over-year, EBITDA has increased for four consecutive quarters, with growth averaging 20.3% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q4 2022 (growth of 181.9%), and the weakest in Q4 2021 (a decline of 78.5%).
- Business Quant data shows TRI's EBITDA at $691 million (Q1 2026), $593 million (Q4 2025) and $439 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 920.22 Mn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 10.13 Bn |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | 3.44 Bn |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 3.89 Bn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 741.00 Mn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | -1.38 Bn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 693.00 Mn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | -8.32 Bn |
| 10 | Thomson Reuters | 43.44 Bn | 39.49 Bn | - | 384.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 384.00 Mn |
| Mar 31, 2026 | 691.00 Mn |
| Dec 31, 2025 | 593.00 Mn |
| Sep 30, 2025 | 439.00 Mn |
| Jun 30, 2025 | 286.00 Mn |
| Mar 31, 2025 | 416.00 Mn |
| Dec 31, 2024 | 588.00 Mn |
| Sep 30, 2024 | 294.00 Mn |
| Jun 30, 2024 | 290.00 Mn |
| Mar 31, 2024 | 432.00 Mn |
| Dec 31, 2023 | 452.00 Mn |
| Sep 30, 2023 | 337.00 Mn |
| Jun 30, 2023 | 727.00 Mn |
| Mar 31, 2023 | 420.00 Mn |
| Dec 31, 2022 | 530.00 Mn |
| Sep 30, 2022 | 313.00 Mn |
| Jun 30, 2022 | 308.00 Mn |
| Mar 31, 2022 | 338.00 Mn |
| Dec 31, 2021 | 188.00 Mn |
| Sep 30, 2021 | 203.00 Mn |
API Access
Thomson Reuters EBITDA 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=ebitda&ticker=TRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=TRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();