Thomson Reuters (TRI) EV to EBITDA (2009 - 2026)
Thomson Reuters' (TRI) EV to EBITDA stood at 16.75 in Q2 2026, down 70.3% from 56.43 a year earlier and down 14.1% 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 15.38 as of Jun 30, 2026, down 70.7% year-over-year; for FY2025, it was 24.65, down 43.3% from FY2024.
- Across earlier years, EV to EBITDA came in at 43.49 in FY2024 (+30.6%), 33.31 in FY2023 (-6.0%), 35.43 in FY2022 (-41.3%) and 60.32 in FY2021 (+156.0%).
- The Q2 2026 figure is the lowest quarterly EV to EBITDA in data going back to Q4 2016.
- On a year-over-year basis, EV to EBITDA has declined for four consecutive quarters, with an average year-over-year change of 0.0% over the last eight quarters.
- Peak year-over-year performance for EV to EBITDA in the last five years was growth of 156.0% in Q4 2021, against a decline of 70.3% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at 19.50 (Q1 2026), 33.28 (Q4 2025) and 39.81 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 472.77 Bn | 441.83 Bn | 1.64 Bn |
| 2 | Oracle | 381.27 Bn | 253.82 Bn | - |
| 3 | Sap Se | 292.64 Bn | 221.00 Bn | 8.40 Bn |
| 4 | Salesforce | 204.54 Bn | 160.41 Bn | 8.70 Bn |
| 5 | ServiceNow | 164.40 Bn | 142.85 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 120.99 Bn | 103.12 Bn | 2.51 Bn |
| 7 | Intuit | 92.16 Bn | 71.51 Bn | 3.44 Bn |
| 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 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.92 |
| Mar 31, 2026 | 19.50 |
| Dec 31, 2025 | 33.50 |
| Sep 30, 2025 | 39.81 |
| Jun 30, 2025 | 56.68 |
| Mar 31, 2025 | 39.57 |
| Dec 31, 2024 | 36.09 |
| Sep 30, 2024 | 41.78 |
| Jun 30, 2024 | 40.54 |
| Mar 31, 2024 | 30.68 |
| Dec 31, 2023 | 29.31 |
| 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 |
| Sep 30, 2021 | 28.04 |
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();