Ltc Properties (LTC) Non Operating Interest Expenses (2010 - 2024)
Ltc Properties' Non Operating Interest Expenses was $11.05 million in Q1 2024, up 4.1% from $10.61 million a year earlier but down 11.1% from the prior quarter.
Ltc Properties (LTC) Non Operating Interest Expenses (2010 - 2024) Analysis & Trends
On a trailing twelve-month basis, Ltc Properties' Non Operating Interest Expenses was $47.45 million through Mar 31, 2024, up 35.9% year-over-year; for FY2023, it was $47.01 million, up 49.5% from FY2022.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of 9.3% (FY2018 to FY2023).
- In earlier years, Non Operating Interest Expenses was $31.44 million in FY2022 (+14.8%), $27.38 million in FY2021 (-7.8%), $29.71 million in FY2020 (-2.9%) and $30.58 million in FY2019 (+1.3%).
- Quarterly Non Operating Interest Expenses has moved between $6.61 million (Q3 2021) and $12.67 million (Q3 2023) over five years.
- Compared with a year earlier, Non Operating Interest Expenses has increased for nine straight quarters, with growth averaging 32.6% over the last eight quarters.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q3 2023 (growth of 59.6%); the worst was Q3 2021 (a decline of 10.2%).
- Per Business Quant data, LTC's Non Operating Interest Expenses in the three quarters before Q1 2024 was $12.42 million (Q4 2023), $12.67 million (Q3 2023) and $11.31 million (Q2 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (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 | - | - |
| 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 | - | - |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Jun 30, 2021 | 6.86 Mn |
| Mar 31, 2021 | 6.97 Mn |
| Dec 31, 2020 | 7.09 Mn |
| Sep 30, 2020 | 7.36 Mn |
| Jun 30, 2020 | 7.55 Mn |
| Mar 31, 2020 | 7.71 Mn |
| Dec 31, 2019 | 7.58 Mn |
| Sep 30, 2019 | 7.83 Mn |
| Jun 30, 2019 | 7.71 Mn |
Ltc Properties Non Operating 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=non-operating-interest-expenses&ticker=LTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=LTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();