Medical Properties Trust (MPT) Interest Expenses (2010 - 2026)
Medical Properties Trust (MPT) reported Interest Expenses of $133.33 million for Q1 2026, up 15.1% from $115.8 million a year earlier and up 0.7% from the prior quarter.
Medical Properties Trust (MPT) Interest Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Medical Properties Trust's Interest Expenses came in at $527.89 million, up 24.2% year-over-year; for FY2025, it came in at $510.36 million, up 22.1% from FY2024.
- Interest Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 9.2% (FY2020 to FY2025).
- By year, Interest Expenses came in at $417.82 million in FY2024 (+1.6%), $411.17 million in FY2023 (+14.5%), $359.04 million in FY2022 (-2.3%) and $367.39 million in FY2021 (+11.8%).
- The Q1 2026 figure ranks as the highest quarterly Interest Expenses in data going back to Q1 2010.
- Year over year, Interest Expenses has now increased in each of the last five quarters, with growth averaging 12.6% over the last eight quarters.
- The high point for year-over-year Interest Expenses in five years was Q4 2025 (growth of 30.5%); the low point was Q3 2022 (a decline of 6.4%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $132.46 million (Q4 2025), $132.4 million (Q3 2025) and $129.71 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | - |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 276.31 Mn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 272.33 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 312.08 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 84.78 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 160.03 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 209.93 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 82.46 Mn |
| 10 | Medical Properties Trust | 2.07 Bn | 196.88 Mn | - | 133.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 133.33 Mn |
| Dec 31, 2025 | 132.46 Mn |
| Sep 30, 2025 | 132.40 Mn |
| Jun 30, 2025 | 129.71 Mn |
| Mar 31, 2025 | 115.80 Mn |
| Dec 31, 2024 | 101.47 Mn |
| Sep 30, 2024 | 106.24 Mn |
| Jun 30, 2024 | 101.43 Mn |
| Mar 31, 2024 | 108.69 Mn |
| Dec 31, 2023 | 102.34 Mn |
| Sep 30, 2023 | 106.71 Mn |
| Jun 30, 2023 | 104.47 Mn |
| Mar 31, 2023 | 97.65 Mn |
| Dec 31, 2022 | 92.05 Mn |
| Sep 30, 2022 | 88.08 Mn |
| Jun 30, 2022 | 87.73 Mn |
| Mar 31, 2022 | 91.18 Mn |
| Dec 31, 2021 | 93.98 Mn |
| Sep 30, 2021 | 94.13 Mn |
| Jun 30, 2021 | 92.31 Mn |
Medical Properties Trust Interest Expenses 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=interest-expenses&ticker=MPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=MPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();