Thomson Reuters (TRI) EV to EBITDA (2009 - 2026)
Thomson Reuters' (TRI) EV to EBITDA stood at 19.57 in Q3 2026, down 53.1% from 41.70 a year earlier but up 11.4% from the prior quarter.
Thomson Reuters (TRI) EV to EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Thomson Reuters' EV to EBITDA came in at 18.55 as of Sep 30, 2026, down 52.1% year-over-year; for FY2025, it was 19.60, down 20.3% from FY2024.
- Annual EV to EBITDA has declined for four straight years.
- Across earlier years, EV to EBITDA came in at 24.59 in FY2024 (-7.2%), 26.50 in FY2023 (-1.5%), 26.89 in FY2022 (-33.4%) and 40.39 in FY2021 (+122.6%).
- Quarterly EV to EBITDA has ranged from 17.57 in Q2 2026 to 56.68 in Q2 2025 over the past five years.
- On a year-over-year basis, EV to EBITDA has declined for five consecutive quarters, with an average decline of 10.2% over the last eight quarters.
- Peak year-over-year performance for EV to EBITDA in the last five years was growth of 132.2% in Q4 2021, against a decline of 69.0% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at 17.57 (Q2 2026), 20.29 (Q1 2026) and 35.07 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 404.71 Bn | 369.66 Bn | 1.93 Bn |
| 2 | Oracle | 379.12 Bn | 251.67 Bn | 18.57 Bn |
| 3 | Sap Se | 288.51 Bn | 216.50 Bn | 8.64 Bn |
| 4 | Salesforce | 179.30 Bn | 135.17 Bn | 8.70 Bn |
| 5 | Automatic Data Processing | 122.61 Bn | 109.40 Bn | 2.53 Bn |
| 6 | ServiceNow | 106.15 Bn | 85.41 Bn | 2.90 Bn |
| 7 | Intuit | 91.71 Bn | 71.06 Bn | 3.44 Bn |
| 8 | Relx | 73.69 Bn | 73.69 Bn | - |
| 9 | Thomson Reuters | 48.63 Bn | 44.60 Bn | - |
| 10 | Roper Technologies | 47.52 Bn | 46.16 Bn | 1.52 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 19.57 |
| Jun 30, 2026 | 17.57 |
| Mar 31, 2026 | 20.29 |
| Dec 31, 2025 | 35.07 |
| Sep 30, 2025 | 41.70 |
| Jun 30, 2025 | 56.68 |
| Mar 31, 2025 | 39.57 |
| Dec 31, 2024 | 36.09 |
| Sep 30, 2024 | 31.33 |
| Jun 30, 2024 | 30.58 |
| Mar 31, 2024 | 24.17 |
| Dec 31, 2023 | 23.06 |
| Sep 30, 2023 | 23.24 |
| Jun 30, 2023 | 26.01 |
| Mar 31, 2023 | 32.54 |
| Dec 31, 2022 | 30.23 |
| Sep 30, 2022 | 34.55 |
| Jun 30, 2022 | 38.40 |
| Mar 31, 2022 | 42.18 |
| Dec 31, 2021 | 47.02 |
Thomson Reuters EV to 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=ev-to-ebitda&ticker=TRI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=TRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();