Universal Health Realty Income Trust (UHT) Land & Improvements (2010 - 2026)
Universal Health Realty Income Trust (UHT) posted Land & Improvements of $56.85 million for Q2 2026, unchanged from $56.87 million a year earlier and unchanged from the prior quarter.
Powered by 
Analysis
Universal Health Realty Income Trust (UHT) Land & Improvements (2010 - 2026) Analysis & Trends
At the end of FY2025, Universal Health Realty Income Trust's Land & Improvements came in at $56.87 million, unchanged from FY2024.
- Annual Land & Improvements shows a five-year compound annual growth rate of 0.6% (FY2020 to FY2025).
- In prior years, Universal Health Realty Income Trust's Land & Improvements was $56.87 million in FY2024 (unchanged), $56.87 million in FY2023 (+0.4%), $56.63 million in FY2022 (+3.2%) and $54.9 million in FY2021 (-0.5%).
- The Q2 2026 figure stands as the lowest quarterly Land & Improvements since Q2 2023.
- The strongest year-over-year quarter for Land & Improvements in the past five years was Q3 2021, with growth of 3.7%; the weakest was Q3 2024, with a decline of 1.9%.
- According to Business Quant data, Land & Improvements for the three prior quarters was $56.87 million (Q1 2026), $56.87 million (Q4 2025) and $56.87 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 7.24 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | - |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 18.91 Bn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 6.00 Bn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 3.26 Bn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 5.15 Bn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 5.52 Bn |
| 10 | Universal Health Realty Income Trust | 519.67 Mn | 519.67 Mn | 23.56 Mn | 56.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.85 Mn |
| Mar 31, 2026 | 56.87 Mn |
| Dec 31, 2025 | 56.87 Mn |
| Sep 30, 2025 | 56.87 Mn |
| Jun 30, 2025 | 56.87 Mn |
| Mar 31, 2025 | 56.87 Mn |
| Dec 31, 2024 | 56.87 Mn |
| Sep 30, 2024 | 56.87 Mn |
| Jun 30, 2024 | 56.87 Mn |
| Mar 31, 2024 | 56.87 Mn |
| Dec 31, 2023 | 56.87 Mn |
| Sep 30, 2023 | 57.98 Mn |
| Jun 30, 2023 | 56.63 Mn |
| Mar 31, 2023 | 56.63 Mn |
| Dec 31, 2022 | 56.63 Mn |
| Sep 30, 2022 | 56.63 Mn |
| Jun 30, 2022 | 56.63 Mn |
| Mar 31, 2022 | 56.63 Mn |
| Dec 31, 2021 | 54.90 Mn |
| Sep 30, 2021 | 56.95 Mn |
API Access
Universal Health Realty Income Trust Land & Improvements 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=land-and-improvements&ticker=UHT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "UHT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=land-and-improvements&ticker=UHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();