Service Properties Trust (SVC) Shares Outstanding (2009 - 2026)
Service Properties Trust's Shares Outstanding was 128.09 million in Q2 2026, down 22.7% from 165.74 million a year earlier and down 23.0% from the prior quarter.
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Analysis
Service Properties Trust (SVC) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Shares Outstanding at Service Properties Trust came in at 165.95 million, up 0.4% from FY2024.
- Shares Outstanding has now increased for 16 consecutive years, with a five-year compound annual growth rate of 0.2% (FY2020 to FY2025).
- In earlier years, Shares Outstanding was 165.34 million in FY2024 (+0.2%), 164.99 million in FY2023 (+0.2%), 164.74 million in FY2022 (+0.1%) and 164.57 million in FY2021 (+0.1%).
- The Q2 2026 figure marks the lowest quarterly Shares Outstanding since Q1 2013.
- Compared with a year earlier, Shares Outstanding was higher in seven of the last eight quarters, with an average decline of 2.6%.
- The best year-over-year quarter for Shares Outstanding over five years was Q1 2026 (growth of 0.5%); the worst was Q2 2026 (a decline of 22.7%).
- Per Business Quant data, SVC's Shares Outstanding in the three quarters before Q2 2026 was 166.4 million (Q1 2026), 165.95 million (Q4 2025) and 166.09 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 709.73 Mn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 933.09 Mn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 326.37 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 932.31 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 175.56 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 489.29 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 210.96 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 1.09 Bn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 374.18 Mn |
| 10 | Service Properties Trust | 834.16 Mn | 45.12 Mn | 156.32 Mn | 128.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 128.09 Mn |
| Mar 31, 2026 | 166.40 Mn |
| Dec 31, 2025 | 165.95 Mn |
| Sep 30, 2025 | 166.09 Mn |
| Jun 30, 2025 | 165.74 Mn |
| Mar 31, 2025 | 165.62 Mn |
| Dec 31, 2024 | 165.34 Mn |
| Sep 30, 2024 | 165.40 Mn |
| Jun 30, 2024 | 165.20 Mn |
| Mar 31, 2024 | 165.16 Mn |
| Dec 31, 2023 | 164.99 Mn |
| Sep 30, 2023 | 165.03 Mn |
| Jun 30, 2023 | 164.90 Mn |
| Mar 31, 2023 | 164.87 Mn |
| Dec 31, 2022 | 164.74 Mn |
| Sep 30, 2022 | 164.75 Mn |
| Jun 30, 2022 | 164.68 Mn |
| Mar 31, 2022 | 164.67 Mn |
| Dec 31, 2021 | 164.57 Mn |
| Sep 30, 2021 | 164.59 Mn |
API Access
Service Properties Trust 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=SVC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "SVC", "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=SVC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();