Medical Properties Trust (MPT) Capital Expenditures (2010 - 2026)
Medical Properties Trust (MPT) recorded Capital Expenditures of $12.72 million in Q1 2026, down 51.2% from $26.05 million a year earlier and down 34.0% from the prior quarter.
Medical Properties Trust (MPT) Capital Expenditures (2010 - 2026) Analysis & Trends
On a TTM basis, Medical Properties Trust's Capital Expenditures came in at $66.67 million as of Mar 31, 2026, down 12.2% year-over-year; for FY2025, it came in at $80 million, up 0.3% from FY2024.
- Annual Capital Expenditures has a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- Across earlier years, Capital Expenditures came in at $79.79 million in FY2024 (-30.3%), $114.43 million in FY2023 (+4.7%), $109.24 million in FY2022 (+61.3%) and $67.73 million in FY2021 (-0.9%).
- The Q1 2026 figure is the lowest quarterly Capital Expenditures since Q4 2022.
- On a year-over-year basis, Capital Expenditures rose in two of the last eight quarters, with an average decline of 19.7%.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 687.0% in Q3 2023, against a decline of 72.1% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $19.26 million (Q4 2025), $20.12 million (Q3 2025) and $14.57 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 319.29 Mn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 254.90 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 57.19 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 56.02 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 101.83 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 31.76 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 21.69 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | - |
| 10 | Medical Properties Trust | 2.07 Bn | 196.88 Mn | - | 12.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 12.72 Mn |
| Dec 31, 2025 | 19.26 Mn |
| Sep 30, 2025 | 20.12 Mn |
| Jun 30, 2025 | 14.57 Mn |
| Mar 31, 2025 | 26.05 Mn |
| Dec 31, 2024 | 16.25 Mn |
| Sep 30, 2024 | 18.45 Mn |
| Jun 30, 2024 | 15.20 Mn |
| Mar 31, 2024 | 29.89 Mn |
| Dec 31, 2023 | 33.72 Mn |
| Sep 30, 2023 | 52.07 Mn |
| Jun 30, 2023 | 15.35 Mn |
| Mar 31, 2023 | 13.29 Mn |
| Dec 31, 2022 | 11.45 Mn |
| Sep 30, 2022 | 6.62 Mn |
| Jun 30, 2022 | 55.05 Mn |
| Mar 31, 2022 | 36.12 Mn |
| Dec 31, 2021 | 37.43 Mn |
| Sep 30, 2021 | 8.86 Mn |
| Jun 30, 2021 | 11.66 Mn |
Medical Properties Trust Capital Expenditures 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=capital-expenditures&ticker=MPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=MPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();