Thomson Reuters (TRI) EBITDA (2009 - 2026)
Thomson Reuters' EBITDA came in at $449 million for Q3 2026, up 24.4% from $361 million a year earlier and up 16.9% from the prior quarter.
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Analysis
Thomson Reuters (TRI) EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Thomson Reuters reported EBITDA of $2.12 billion, up 28.2% year-over-year; for FY2025, it came in at $2.96 billion, up 4.4% from FY2024.
- EBITDA has increased in each of the last four years, with a five-year compound annual growth rate of 7.0% (FY2020 to FY2025).
- Going back by year, EBITDA was $2.84 billion in FY2024 (+16.0%), $2.45 billion in FY2023 (+24.0%), $1.97 billion in FY2022 (+39.1%) and $1.42 billion in FY2021 (-32.8%).
- The five-year range for quarterly EBITDA is $188 million (Q4 2021) to $1 billion (Q2 2023).
- Year-over-year, EBITDA has increased for five consecutive quarters, with growth averaging 15.1% 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 $384 million (Q2 2026), $691 million (Q1 2026) and $593 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 404.71 Bn | 369.66 Bn | 1.93 Bn | 1.09 Bn |
| 2 | Oracle | 379.12 Bn | 251.67 Bn | 18.57 Bn | 10.13 Bn |
| 3 | Sap Se | 288.51 Bn | 216.50 Bn | 8.64 Bn | 3.75 Bn |
| 4 | Salesforce | 179.30 Bn | 135.17 Bn | 8.70 Bn | 3.89 Bn |
| 5 | Automatic Data Processing | 122.61 Bn | 109.40 Bn | 2.53 Bn | -1.19 Bn |
| 6 | ServiceNow | 106.15 Bn | 85.41 Bn | 2.90 Bn | 954.00 Mn |
| 7 | Intuit | 91.71 Bn | 71.06 Bn | 3.44 Bn | 693.00 Mn |
| 8 | Relx | 73.69 Bn | 73.69 Bn | - | - |
| 9 | Thomson Reuters | 48.63 Bn | 44.60 Bn | - | 449.00 Mn |
| 10 | Roper Technologies | 47.52 Bn | 46.16 Bn | 1.52 Bn | 861.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 449.00 Mn |
| Jun 30, 2026 | 384.00 Mn |
| Mar 31, 2026 | 691.00 Mn |
| Dec 31, 2025 | 593.00 Mn |
| Sep 30, 2025 | 361.00 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 | 621.00 Mn |
| Mar 31, 2024 | 432.00 Mn |
| Dec 31, 2023 | 1.05 Bn |
| Sep 30, 2023 | 337.00 Mn |
| Jun 30, 2023 | 1.00 Bn |
| Mar 31, 2023 | 420.00 Mn |
| Dec 31, 2022 | 530.00 Mn |
| Sep 30, 2022 | 313.00 Mn |
| Jun 30, 2022 | 575.00 Mn |
| Mar 31, 2022 | 338.00 Mn |
| Dec 31, 2021 | 188.00 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();