Medical Properties Trust (MPT) Shares Outstanding (2010 - 2026)
Medical Properties Trust's Shares Outstanding came in at 597.72 million for Q1 2026, down 0.5% from 600.59 million a year earlier and down 0.5% from the prior quarter.
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Analysis
Medical Properties Trust (MPT) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, Medical Properties Trust's Shares Outstanding was 600.89 million, up 0.1% from FY2024.
- Shares Outstanding carries a five-year compound annual growth rate of 2.6% (FY2020 to FY2025).
- Going back by year, Shares Outstanding was 600.25 million in FY2024 (+0.3%), 598.52 million in FY2023 (unchanged), 598.63 million in FY2022 (+1.7%) and 588.82 million in FY2021 (+11.3%).
- The Q1 2026 figure represents the lowest quarterly Shares Outstanding since Q4 2021.
- Year-over-year, Shares Outstanding increased in six of the last eight quarters, with growth averaging 0.1%.
- The fastest year-over-year change in Shares Outstanding over five years came in Q3 2021 (growth of 12.1%), and the weakest in Q1 2026 (a decline of 0.5%).
- Business Quant data shows MPT's Shares Outstanding at 600.89 million (Q4 2025), 601.14 million (Q3 2025) and 600.81 million (Q2 2025) in the three quarters before Q1 2026.
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 | Medical Properties Trust | 2.07 Bn | 196.88 Mn | - | 597.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 597.72 Mn |
| Dec 31, 2025 | 600.89 Mn |
| Sep 30, 2025 | 601.14 Mn |
| Jun 30, 2025 | 600.81 Mn |
| Mar 31, 2025 | 600.59 Mn |
| Dec 31, 2024 | 600.25 Mn |
| Sep 30, 2024 | 600.23 Mn |
| Jun 30, 2024 | 600.06 Mn |
| Mar 31, 2024 | 600.30 Mn |
| Dec 31, 2023 | 598.52 Mn |
| Sep 30, 2023 | 598.44 Mn |
| Jun 30, 2023 | 598.34 Mn |
| Mar 31, 2023 | 598.30 Mn |
| Dec 31, 2022 | 598.63 Mn |
| Sep 30, 2022 | 598.98 Mn |
| Jun 30, 2022 | 598.83 Mn |
| Mar 31, 2022 | 598.68 Mn |
| Dec 31, 2021 | 588.82 Mn |
| Sep 30, 2021 | 595.12 Mn |
| Jun 30, 2021 | 587.51 Mn |
API Access
Medical 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=MPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "MPT", "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=MPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();