Industrial Logistics Properties Trust (ILPT) Total Liabilities (2017 - 2026)
Industrial Logistics Properties Trust (ILPT) reported Total Liabilities of $4.28 billion for Q2 2026, down 0.2% from $4.29 billion a year earlier and unchanged from the prior quarter.
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Analysis
Industrial Logistics Properties Trust (ILPT) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Industrial Logistics Properties Trust posted Total Liabilities of $4.29 billion, down 2.5% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 36.3% (FY2020 to FY2025).
- By year, Total Liabilities came in at $4.4 billion in FY2024 (-0.1%), $4.4 billion in FY2023 (+1.3%), $4.35 billion in FY2022 (+399.2%) and $870.52 million in FY2021 (-4.6%).
- The Q2 2026 figure ranks as the lowest quarterly Total Liabilities since Q4 2021.
- Year over year, Total Liabilities has now declined in each of the last eight quarters, with an average decline of 1.3% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q4 2022 (growth of 399.2%); the low point was Q3 2021 (a decline of 26.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.28 billion (Q1 2026), $4.29 billion (Q4 2025) and $4.31 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 22.44 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 42.89 Bn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 34.13 Bn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 34.51 Bn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 10.83 Bn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 14.95 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 | 18.67 Bn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 9.58 Bn |
| 10 | Industrial Logistics Properties Trust | 474.01 Mn | 853.52 Mn | - | 4.28 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.28 Bn |
| Mar 31, 2026 | 4.28 Bn |
| Dec 31, 2025 | 4.29 Bn |
| Sep 30, 2025 | 4.31 Bn |
| Jun 30, 2025 | 4.29 Bn |
| Mar 31, 2025 | 4.39 Bn |
| Dec 31, 2024 | 4.40 Bn |
| Sep 30, 2024 | 4.41 Bn |
| Jun 30, 2024 | 4.40 Bn |
| Mar 31, 2024 | 4.41 Bn |
| Dec 31, 2023 | 4.40 Bn |
| Sep 30, 2023 | 4.42 Bn |
| Jun 30, 2023 | 4.40 Bn |
| Mar 31, 2023 | 4.35 Bn |
| Dec 31, 2022 | 4.35 Bn |
| Sep 30, 2022 | 4.36 Bn |
| Jun 30, 2022 | 4.52 Bn |
| Mar 31, 2022 | 4.50 Bn |
| Dec 31, 2021 | 870.52 Mn |
| Sep 30, 2021 | 1.05 Bn |
API Access
Industrial Logistics Properties Trust Total Liabilities 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=total-liabilities&ticker=ILPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ILPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();