Ltc Properties (LTC) Land & Improvements (2010 - 2026)
Ltc Properties (LTC) recorded Land & Improvements of $139.44 million in Q2 2026, up 26.9% from $109.88 million a year earlier and up 1.7% from the prior quarter.
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Analysis
Ltc Properties (LTC) Land & Improvements (2010 - 2026) Analysis & Trends
At the end of FY2025, Ltc Properties reported Land & Improvements of $128.59 million, up 8.8% from FY2024.
- Annual Land & Improvements has a five-year compound annual growth rate of 0.1% (FY2020 to FY2025).
- Across earlier years, Land & Improvements came in at $118.21 million in FY2024 (-2.9%), $121.73 million in FY2023 (-2.4%), $124.67 million in FY2022 (+1.2%) and $123.24 million in FY2021 (-3.5%).
- The Q2 2026 figure is the highest quarterly Land & Improvements in data going back to Q4 2010.
- On a year-over-year basis, Land & Improvements has increased for four consecutive quarters, with growth averaging 4.9% over the last eight quarters.
- Peak year-over-year performance for Land & Improvements in the last five years was growth of 26.9% in Q2 2026, against a decline of 7.8% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $137.17 million (Q1 2026), $128.59 million (Q4 2025) and $121.88 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 | Ltc Properties | 2.31 Bn | 2.38 Bn | - | 139.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 139.44 Mn |
| Mar 31, 2026 | 137.17 Mn |
| Dec 31, 2025 | 128.59 Mn |
| Sep 30, 2025 | 121.88 Mn |
| Jun 30, 2025 | 109.88 Mn |
| Mar 31, 2025 | 111.22 Mn |
| Dec 31, 2024 | 118.21 Mn |
| Sep 30, 2024 | 118.38 Mn |
| Jun 30, 2024 | 119.14 Mn |
| Mar 31, 2024 | 120.14 Mn |
| Dec 31, 2023 | 121.73 Mn |
| Sep 30, 2023 | 123.92 Mn |
| Jun 30, 2023 | 124.90 Mn |
| Mar 31, 2023 | 123.34 Mn |
| Dec 31, 2022 | 124.67 Mn |
| Sep 30, 2022 | 124.67 Mn |
| Jun 30, 2022 | 125.79 Mn |
| Mar 31, 2022 | 120.20 Mn |
| Dec 31, 2021 | 123.24 Mn |
| Sep 30, 2021 | 123.24 Mn |
API Access
Ltc Properties 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=LTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "LTC", "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=LTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();