Industrial Logistics Properties Trust (ILPT) Interest Expenses (2017 - 2026)
Industrial Logistics Properties Trust (ILPT) posted Interest Expenses of $61.11 million for Q2 2026, down 10.0% from $67.91 million a year earlier and down 1.0% from the prior quarter.
Industrial Logistics Properties Trust (ILPT) Interest Expenses (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Interest Expenses at Industrial Logistics Properties Trust was $249.65 million, down 11.9% year-over-year; for FY2025, it came in at $264.56 million, down 9.6% from FY2024.
- Annual Interest Expenses shows a five-year compound annual growth rate of 38.7% (FY2020 to FY2025).
- In prior years, Industrial Logistics Properties Trust's Interest Expenses was $292.54 million in FY2024 (+1.4%), $288.54 million in FY2023 (+3.0%), $280.05 million in FY2022 (+686.1%) and $35.63 million in FY2021 (-31.0%).
- The Q2 2026 figure stands as the lowest quarterly Interest Expenses since Q1 2022.
- On a year-over-year basis, Interest Expenses has declined in each of the last seven quarters, with an average decline of 7.5% over the last eight quarters.
- The strongest year-over-year quarter for Interest Expenses in the past five years was Q3 2022, with growth of 887.9%; the weakest was Q3 2021, with a decline of 29.5%.
- According to Business Quant data, Interest Expenses for the three prior quarters was $61.7 million (Q1 2026), $63.36 million (Q4 2025) and $63.47 million (Q3 2025).
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 | Industrial Logistics Properties Trust | 474.01 Mn | 853.52 Mn | - | 61.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 61.11 Mn |
| Mar 31, 2026 | 61.70 Mn |
| Dec 31, 2025 | 63.36 Mn |
| Sep 30, 2025 | 63.47 Mn |
| Jun 30, 2025 | 67.91 Mn |
| Mar 31, 2025 | 69.81 Mn |
| Dec 31, 2024 | 71.74 Mn |
| Sep 30, 2024 | 73.94 Mn |
| Jun 30, 2024 | 73.63 Mn |
| Mar 31, 2024 | 73.23 Mn |
| Dec 31, 2023 | 72.98 Mn |
| Sep 30, 2023 | 72.94 Mn |
| Jun 30, 2023 | 71.85 Mn |
| Mar 31, 2023 | 70.77 Mn |
| Dec 31, 2022 | 71.77 Mn |
| Sep 30, 2022 | 89.74 Mn |
| Jun 30, 2022 | 77.55 Mn |
| Mar 31, 2022 | 41.00 Mn |
| Dec 31, 2021 | 9.16 Mn |
| Sep 30, 2021 | 9.08 Mn |
Industrial Logistics Properties Trust 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=ILPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "ILPT", "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=ILPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();