Thomson Reuters (TRI) Shares Outstanding (2016 - 2026)
Thomson Reuters' Shares Outstanding was 448.85 million in Q2 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 (2016 - 2026) Analysis & Trends
From Q4 2016 onward, Thomson Reuters has reported Shares Outstanding for 39 quarters.
- 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, 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 Shares Outstanding has moved between 448.85 million (Q4 2025) and 478.82 million (Q3 2021) over five years.
- Compared with a year earlier, Shares Outstanding has declined for 27 straight quarters, with an average decline of 1.6% over the last eight quarters.
- Over the past five years, the year-over-year decline in Shares Outstanding ranged from 0.4% (Q2 2026) to 2.7% (Q4 2024).
- Per Business Quant data, TRI's Shares Outstanding in the three quarters before Q2 2026 was 448.85 million (Q1 2026), 448.85 million (Q4 2025) and 450.47 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 2.40 Bn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 2.97 Bn |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | 1.17 Bn |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 820.00 Mn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 1.03 Bn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | 402.30 Mn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 276.00 Mn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | 1.83 Bn |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | 352.53 Mn |
| 10 | Thomson Reuters | 43.44 Bn | 39.49 Bn | - | 448.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 478.82 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();