Ltc Properties (LTC) EBITDA (2013 - 2026)
Ltc Properties (LTC) posted EBITDA of $45.17 million for Q2 2026, up 39.1% from $32.49 million a year earlier but down 5.0% from the prior quarter.
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Analysis
Ltc Properties (LTC) EBITDA (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Ltc Properties was $137.43 million, up 7.8% year-over-year; for FY2025, it came in at $112.66 million, down 12.5% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of -3.6% (FY2020 to FY2025).
- In prior years, Ltc Properties' EBITDA was $128.8 million in FY2024 (+1.1%), $127.37 million in FY2023 (-6.7%), $136.58 million in FY2022 (+46.7%) and $93.1 million in FY2021 (-31.1%).
- Quarterly EBITDA has run from a low of -$421,000 in Q3 2025 to a high of $63.49 million in Q2 2022 over five years.
- On a year-over-year basis, EBITDA has increased in each of the last three quarters, with growth averaging 24.0% over the last seven quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q2 2022, with growth of 130.2%; the weakest was Q2 2023, with a decline of 75.4%.
- According to Business Quant data, EBITDA for the three prior quarters was $47.54 million (Q1 2026), $45.14 million (Q4 2025) and -$421,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn | -1.08 Bn |
| 2 | Prologis | 123.74 Bn | 128.13 Bn | - | 1.94 Bn |
| 3 | Simon Property | 66.68 Bn | 67.94 Bn | - | 1.35 Bn |
| 4 | Realty Income | 52.20 Bn | 54.59 Bn | - | 1.35 Bn |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - | 754.44 Mn |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - | 629.80 Mn |
| 7 | Extra Space Storage | 28.21 Bn | 28.21 Bn | 642.43 Mn | 577.79 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 736.50 Mn |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - | 449.31 Mn |
| 10 | Ltc Properties | 2.32 Bn | 2.40 Bn | - | 45.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.17 Mn |
| Mar 31, 2026 | 47.54 Mn |
| Dec 31, 2025 | 45.14 Mn |
| Sep 30, 2025 | -421,000.00 |
| Jun 30, 2025 | 32.49 Mn |
| Mar 31, 2025 | 27.72 Mn |
| Dec 31, 2024 | 28.08 Mn |
| Sep 30, 2024 | 39.22 Mn |
| Jun 30, 2024 | 28.09 Mn |
| Mar 31, 2024 | 33.41 Mn |
| Dec 31, 2023 | 37.62 Mn |
| Sep 30, 2023 | 31.75 Mn |
| Jun 30, 2023 | 15.60 Mn |
| Mar 31, 2023 | 42.40 Mn |
| Dec 31, 2022 | 27.12 Mn |
| Sep 30, 2022 | 22.40 Mn |
| Jun 30, 2022 | 63.49 Mn |
| Mar 31, 2022 | 23.57 Mn |
| Dec 31, 2021 | 22.00 Mn |
| Sep 30, 2021 | 20.36 Mn |
API Access
Ltc Properties EBITDA 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=ebitda&ticker=LTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=LTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();