Ltc Properties (LTC) Interest Expenses (2010 - 2026)
Ltc Properties' Interest Expenses came in at $9.48 million for Q2 2026, up 18.3% from $8.01 million a year earlier but down 12.0% from the prior quarter.
Ltc Properties (LTC) Interest Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Ltc Properties reported Interest Expenses of $39.65 million, up 15.5% year-over-year; for FY2025, it came in at $35.31 million, down 12.5% from FY2024.
- Interest Expenses carries a five-year compound annual growth rate of 3.5% (FY2020 to FY2025).
- Going back by year, Interest Expenses was $40.34 million in FY2024 (-14.2%), $47.01 million in FY2023 (+49.5%), $31.44 million in FY2022 (+14.8%) and $27.38 million in FY2021 (-7.8%).
- The five-year range for quarterly Interest Expenses is $6.61 million (Q3 2021) to $12.67 million (Q3 2023).
- Year-over-year, Interest Expenses has increased for three consecutive quarters, with an average decline of 4.9% over the last eight quarters.
- The fastest year-over-year change in Interest Expenses over five years came in Q3 2023 (growth of 59.6%), and the weakest in Q4 2024 (a decline of 32.6%).
- Business Quant data shows LTC's Interest Expenses at $10.78 million (Q1 2026), $10.59 million (Q4 2025) and $8.79 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | - |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 276.31 Mn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 272.33 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 312.08 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 84.78 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 160.03 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 209.93 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 82.46 Mn |
| 10 | Ltc Properties | 2.31 Bn | 2.38 Bn | - | 9.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.48 Mn |
| Mar 31, 2026 | 10.78 Mn |
| Dec 31, 2025 | 10.59 Mn |
| Sep 30, 2025 | 8.79 Mn |
| Jun 30, 2025 | 8.01 Mn |
| Mar 31, 2025 | 7.91 Mn |
| Dec 31, 2024 | 8.37 Mn |
| Sep 30, 2024 | 10.02 Mn |
| Jun 30, 2024 | 10.90 Mn |
| Mar 31, 2024 | 11.05 Mn |
| Dec 31, 2023 | 12.42 Mn |
| Sep 30, 2023 | 12.67 Mn |
| Jun 30, 2023 | 11.31 Mn |
| Mar 31, 2023 | 10.61 Mn |
| Dec 31, 2022 | 8.83 Mn |
| Sep 30, 2022 | 7.94 Mn |
| Jun 30, 2022 | 7.52 Mn |
| Mar 31, 2022 | 7.14 Mn |
| Dec 31, 2021 | 6.93 Mn |
| Sep 30, 2021 | 6.61 Mn |
Ltc Properties Interest Expenses 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=interest-expenses&ticker=LTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=LTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();