Ltc Properties (LTC) Total Liabilities (2010 - 2026)
Ltc Properties (LTC) posted Total Liabilities of $835.23 million for Q2 2026, up 11.3% from $750.45 million a year earlier but down 9.2% from the prior quarter.
Ltc Properties (LTC) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Ltc Properties' Total Liabilities came in at $899.68 million, up 22.7% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 5.6% (FY2020 to FY2025).
- In prior years, Ltc Properties' Total Liabilities was $733.14 million in FY2024 (-21.9%), $938.83 million in FY2023 (+16.5%), $805.8 million in FY2022 (+6.1%) and $759.7 million in FY2021 (+11.1%).
- Quarterly Total Liabilities has run from a low of $700.16 million in Q3 2021 to a high of $1.01 billion in Q3 2023 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last four quarters, with growth averaging 0.6% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2023, with growth of 30.1%; the weakest was Q4 2024, with a decline of 21.9%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $919.35 million (Q1 2026), $899.68 million (Q4 2025) and $999.17 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn | 22.44 Bn |
| 2 | Prologis | 123.74 Bn | 128.13 Bn | - | 42.89 Bn |
| 3 | Simon Property | 66.68 Bn | 67.94 Bn | - | 34.13 Bn |
| 4 | Realty Income | 52.20 Bn | 54.59 Bn | - | 34.51 Bn |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - | 10.83 Bn |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - | 14.95 Bn |
| 7 | Extra Space Storage | 28.21 Bn | 28.21 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 18.67 Bn |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - | 9.58 Bn |
| 10 | Ltc Properties | 2.32 Bn | 2.40 Bn | - | 835.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 835.23 Mn |
| Mar 31, 2026 | 919.35 Mn |
| Dec 31, 2025 | 899.68 Mn |
| Sep 30, 2025 | 999.17 Mn |
| Jun 30, 2025 | 750.45 Mn |
| Mar 31, 2025 | 726.21 Mn |
| Dec 31, 2024 | 733.14 Mn |
| Sep 30, 2024 | 830.20 Mn |
| Jun 30, 2024 | 907.96 Mn |
| Mar 31, 2024 | 899.55 Mn |
| Dec 31, 2023 | 938.83 Mn |
| Sep 30, 2023 | 1.01 Bn |
| Jun 30, 2023 | 998.63 Mn |
| Mar 31, 2023 | 934.24 Mn |
| Dec 31, 2022 | 805.80 Mn |
| Sep 30, 2022 | 826.80 Mn |
| Jun 30, 2022 | 767.73 Mn |
| Mar 31, 2022 | 793.50 Mn |
| Dec 31, 2021 | 759.70 Mn |
| Sep 30, 2021 | 700.16 Mn |
Ltc Properties Total Liabilities 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=total-liabilities&ticker=LTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=LTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();