Thomson Reuters (TRI) Shares Outstanding (2009 - 2026)
Thomson Reuters' Weighted Average Shares Outstanding was 448.85 million in Q3 2026, down 0.4% from 450.47 million a year earlier and unchanged from the prior quarter.
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Analysis
Thomson Reuters (TRI) Shares Outstanding (2009 - 2026) Analysis & Trends
From Q1 2009 onward, Thomson Reuters has reported Weighted Average Shares Outstanding for 71 quarters.
- Weighted Average Shares Outstanding has now declined for seven consecutive years, with a five-year compound annual growth rate of -1.3% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding was 450.47 million in FY2024 (-2.7%), 463.04 million in FY2023 (-0.7%), 466.45 million in FY2022 (-1.9%) and 475.66 million in FY2021 (-0.7%).
- Quarterly Weighted Average Shares Outstanding has moved between 448.85 million (Q4 2025) and 475.66 million (Q3 2022) over five years.
- Compared with a year earlier, Weighted Average Shares Outstanding has declined for 28 straight quarters, with an average decline of 1.5% over the last eight quarters.
- Over the past five years, the year-over-year decline in Weighted Average Shares Outstanding ranged from 0.4% (Q3 2026) to 2.7% (Q4 2024).
- Per Business Quant data, TRI's Weighted Average Shares Outstanding in the three quarters before Q3 2026 was 448.85 million (Q2 2026), 448.85 million (Q1 2026) and 448.85 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 404.71 Bn | 369.66 Bn | 1.93 Bn | 2.41 Bn |
| 2 | Oracle | 379.12 Bn | 251.67 Bn | 18.57 Bn | 2.97 Bn |
| 3 | Sap Se | 288.51 Bn | 216.50 Bn | 8.64 Bn | 1.17 Bn |
| 4 | Salesforce | 179.30 Bn | 135.17 Bn | 8.70 Bn | 820.00 Mn |
| 5 | Automatic Data Processing | 122.61 Bn | 109.40 Bn | 2.53 Bn | 396.50 Mn |
| 6 | ServiceNow | 106.15 Bn | 85.41 Bn | 2.90 Bn | 1.03 Bn |
| 7 | Intuit | 91.71 Bn | 71.06 Bn | 3.44 Bn | 276.00 Mn |
| 8 | Relx | 73.69 Bn | 73.69 Bn | - | 1.83 Bn |
| 9 | Thomson Reuters | 48.63 Bn | 44.60 Bn | - | 448.85 Mn |
| 10 | Roper Technologies | 47.52 Bn | 46.16 Bn | 1.52 Bn | 98.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 448.85 Mn |
| Jun 30, 2026 | 448.85 Mn |
| Mar 31, 2026 | 448.85 Mn |
| Dec 31, 2025 | 448.85 Mn |
| Sep 30, 2025 | 450.47 Mn |
| Jun 30, 2025 | 450.47 Mn |
| Mar 31, 2025 | 450.47 Mn |
| Dec 31, 2024 | 450.47 Mn |
| Sep 30, 2024 | 463.04 Mn |
| Jun 30, 2024 | 463.04 Mn |
| Mar 31, 2024 | 463.04 Mn |
| Dec 31, 2023 | 463.04 Mn |
| Sep 30, 2023 | 466.45 Mn |
| Jun 30, 2023 | 466.45 Mn |
| Mar 31, 2023 | 466.45 Mn |
| Dec 31, 2022 | 466.45 Mn |
| Sep 30, 2022 | 475.66 Mn |
| Jun 30, 2022 | 475.66 Mn |
| Mar 31, 2022 | 475.66 Mn |
| Dec 31, 2021 | 475.66 Mn |
API Access
Thomson Reuters Shares Outstanding 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=shares-outstanding&ticker=TRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=TRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();