Ltc Properties (LTC) Long-Term Debt Repayments (2010 - 2026)
Ltc Properties (LTC) recorded Long-Term Debt Repayments of $7.5 million in Q2 2026, up 36.4% from $5.5 million a year earlier and up 50.0% from the prior quarter.
Ltc Properties (LTC) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
On a TTM basis, Ltc Properties' Long-Term Debt Repayments came in at $149.5 million as of Jun 30, 2026, up 189.4% year-over-year; for FY2025, it came in at $149.5 million, up 204.1% from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of 30.1% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $49.16 million in FY2024 (unchanged), $49.16 million in FY2023 (+2.1%), $48.16 million in FY2022 (+2.1%) and $47.16 million in FY2021 (+17.4%).
- Quarterly Long-Term Debt Repayments has ranged from $4 million in Q2 2023 to $87.5 million in Q3 2025 over the past five years.
- On a year-over-year basis, Long-Term Debt Repayments rose in six of the last eight quarters, with growth averaging 138.9%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 890.0% in Q4 2025, against a decline of 66.7% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $5 million (Q1 2026), $49.5 million (Q4 2025) and $87.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 1.12 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 1.09 Bn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 600.00 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 34,000.00 |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 868.15 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 6.00 Bn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | - |
| 10 | Ltc Properties | 2.31 Bn | 2.38 Bn | - | 7.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.50 Mn |
| Mar 31, 2026 | 5.00 Mn |
| Dec 31, 2025 | 49.50 Mn |
| Sep 30, 2025 | 87.50 Mn |
| Jun 30, 2025 | 5.50 Mn |
| Mar 31, 2025 | 7.00 Mn |
| Dec 31, 2024 | 5.00 Mn |
| Sep 30, 2024 | 34.16 Mn |
| Jun 30, 2024 | 4.00 Mn |
| Mar 31, 2024 | 6.00 Mn |
| Dec 31, 2023 | 5.00 Mn |
| Sep 30, 2023 | 33.16 Mn |
| Jun 30, 2023 | 4.00 Mn |
| Mar 31, 2023 | 7.00 Mn |
| Dec 31, 2022 | 5.00 Mn |
| Sep 30, 2022 | 36.16 Mn |
| Mar 31, 2022 | 7.00 Mn |
| Dec 31, 2021 | 15.00 Mn |
| Sep 30, 2021 | 25.16 Mn |
| Mar 31, 2021 | 7.00 Mn |
Ltc Properties Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=LTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=LTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();