Thomson Reuters (TRI) Return on Sales [ROS] (2009 - 2026)
Thomson Reuters (TRI) reported Return on Sales [ROS] of 21.93% for Q3 2026, down 9.25 percentage points from 31.18% a year earlier and down 6.63 percentage points from the prior quarter.
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Analysis
Thomson Reuters (TRI) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Thomson Reuters' Return on Sales [ROS] came in at 27.13%, down 3.73 percentage points year-over-year; for FY2025, it was 28.52%, down 0.54 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of -3.72 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 29.06% in FY2024 (-5.27 pp), 34.32% in FY2023 (+6.65 pp), 27.67% in FY2022 (+8.11 pp) and 19.57% in FY2021 (-12.67 pp).
- The Q3 2026 figure ranks as the lowest quarterly Return on Sales [ROS] since Q4 2021.
- Year over year, Return on Sales [ROS] gained in six of the last eight quarters, with an average year-over-year change of -0.03 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q2 2023 (a gain of 25.87 percentage points); the low point was Q4 2021 (a drop of 44.13 percentage points).
- Per Business Quant data, the three quarters before Q3 2026 came in at 28.56% (Q2 2026), 30.62% (Q1 2026) and 26.88% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 404.71 Bn | 369.66 Bn | 1.93 Bn | 46.89% |
| 2 | Oracle | 379.12 Bn | 251.67 Bn | 18.57 Bn | 34.78% |
| 3 | Sap Se | 288.51 Bn | 216.50 Bn | 8.64 Bn | 28.53% |
| 4 | Salesforce | 179.30 Bn | 135.17 Bn | 8.70 Bn | 20.55% |
| 5 | Automatic Data Processing | 122.61 Bn | 109.40 Bn | 2.53 Bn | -30.06% |
| 6 | ServiceNow | 106.15 Bn | 85.41 Bn | 2.90 Bn | 9.38% |
| 7 | Intuit | 91.71 Bn | 71.06 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 73.69 Bn | 73.69 Bn | - | - |
| 9 | Thomson Reuters | 48.63 Bn | 44.60 Bn | - | 21.93% |
| 10 | Roper Technologies | 47.52 Bn | 46.16 Bn | 1.52 Bn | 28.70% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 21.93% |
| Jun 30, 2026 | 28.56% |
| Mar 31, 2026 | 30.62% |
| Dec 31, 2025 | 26.88% |
| Sep 30, 2025 | 31.18% |
| Jun 30, 2025 | 24.43% |
| Mar 31, 2025 | 29.63% |
| Dec 31, 2024 | 37.82% |
| Sep 30, 2024 | 24.07% |
| Jun 30, 2024 | 23.85% |
| Mar 31, 2024 | 29.55% |
| Dec 31, 2023 | 30.74% |
| Sep 30, 2023 | 27.67% |
| Jun 30, 2023 | 50.09% |
| Mar 31, 2023 | 29.23% |
| Dec 31, 2022 | 35.75% |
| Sep 30, 2022 | 25.29% |
| Jun 30, 2022 | 24.23% |
| Mar 31, 2022 | 24.73% |
| Dec 31, 2021 | 15.03% |
API Access
Thomson Reuters Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=TRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=TRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();