Industrial Logistics Properties Trust (ILPT) Other Operating Expenses (2017 - 2026)
Industrial Logistics Properties Trust's Other Operating Expenses was $8.62 million in Q2 2026, down 2.9% from $8.88 million a year earlier and down 14.6% from the prior quarter.
Industrial Logistics Properties Trust (ILPT) Other Operating Expenses (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Industrial Logistics Properties Trust's Other Operating Expenses was $36.65 million through Jun 30, 2026, down 3.9% year-over-year; for FY2025, it was $37.06 million, down 3.9% from FY2024.
- Other Operating Expenses shows a five-year compound annual growth rate of 12.3% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $38.55 million in FY2024 (+0.9%), $38.19 million in FY2023 (+23.8%), $30.86 million in FY2022 (+65.2%) and $18.68 million in FY2021 (-10.0%).
- The Q2 2026 figure marks the lowest quarterly Other Operating Expenses since Q2 2023.
- Compared with a year earlier, Other Operating Expenses has declined for eight straight quarters, with an average decline of 4.1% over the last eight quarters.
- The best year-over-year quarter for Other Operating Expenses over five years was Q3 2022 (growth of 91.4%); the worst was Q3 2021 (a decline of 19.9%).
- Per Business Quant data, ILPT's Other Operating Expenses in the three quarters before Q2 2026 was $10.1 million (Q1 2026), $9.15 million (Q4 2025) and $8.78 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - |
| 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 |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - |
| 10 | Industrial Logistics Properties Trust | 474.01 Mn | 853.52 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.62 Mn |
| Mar 31, 2026 | 10.10 Mn |
| Dec 31, 2025 | 9.15 Mn |
| Sep 30, 2025 | 8.78 Mn |
| Jun 30, 2025 | 8.88 Mn |
| Mar 31, 2025 | 10.25 Mn |
| Dec 31, 2024 | 10.12 Mn |
| Sep 30, 2024 | 8.90 Mn |
| Jun 30, 2024 | 9.21 Mn |
| Mar 31, 2024 | 10.32 Mn |
| Dec 31, 2023 | 10.45 Mn |
| Sep 30, 2023 | 9.91 Mn |
| Jun 30, 2023 | 8.52 Mn |
| Mar 31, 2023 | 9.32 Mn |
| Dec 31, 2022 | 8.58 Mn |
| Sep 30, 2022 | 8.45 Mn |
| Jun 30, 2022 | 7.05 Mn |
| Mar 31, 2022 | 6.77 Mn |
| Dec 31, 2021 | 4.94 Mn |
| Sep 30, 2021 | 4.42 Mn |
Industrial Logistics Properties Trust Other Operating 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=other-operating-expenses&ticker=ILPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=ILPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();