Industrial Logistics Properties Trust (ILPT) Cash & Equivalents (2018 - 2026)
Industrial Logistics Properties Trust (ILPT) reported Cash & Equivalents of $135.33 million for Q2 2026, up 131.1% from $58.56 million a year earlier and up 36.0% from the prior quarter.
Powered by 
Analysis
Industrial Logistics Properties Trust (ILPT) Cash & Equivalents (2018 - 2026) Analysis & Trends
At the end of FY2025, Industrial Logistics Properties Trust posted Cash & Equivalents of $94.81 million, down 28.0% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of 32.9% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $131.71 million in FY2024 (+17.2%), $112.34 million in FY2023 (+132.8%), $48.26 million in FY2022 (+64.2%) and $29.4 million in FY2021 (+28.7%).
- The Q2 2026 figure ranks as the highest quarterly Cash & Equivalents since Q3 2024.
- Year over year, Cash & Equivalents gained in three of the last eight quarters, with growth averaging 9.4%.
- The high point for year-over-year Cash & Equivalents in five years was Q1 2022 (growth of 952.0%); the low point was Q1 2023 (a decline of 77.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $99.5 million (Q1 2026), $94.81 million (Q4 2025) and $83.17 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 163.71 Bn | 146.23 Bn | 1.39 Bn | 1.97 Bn |
| 2 | Prologis | 119.65 Bn | 124.04 Bn | - | 1.77 Bn |
| 3 | Simon Property | 68.89 Bn | 70.10 Bn | - | 542.96 Mn |
| 4 | Realty Income | 50.65 Bn | 53.03 Bn | - | 552.65 Mn |
| 5 | Public Storage | 49.89 Bn | 48.98 Bn | - | 259.94 Mn |
| 6 | Ventas | 42.94 Bn | 42.14 Bn | - | 198.96 Mn |
| 7 | Extra Space Storage | 28.13 Bn | 28.13 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 25.04 Bn | 23.15 Bn | 1.05 Bn | 288.06 Mn |
| 9 | Vivmark Residential | 22.56 Bn | 22.75 Bn | - | 36.41 Mn |
| 10 | Industrial Logistics Properties Trust | 465.33 Mn | 844.84 Mn | - | 135.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 135.33 Mn |
| Mar 31, 2026 | 99.50 Mn |
| Dec 31, 2025 | 94.81 Mn |
| Sep 30, 2025 | 83.17 Mn |
| Jun 30, 2025 | 58.56 Mn |
| Mar 31, 2025 | 107.95 Mn |
| Dec 31, 2024 | 131.71 Mn |
| Sep 30, 2024 | 153.86 Mn |
| Jun 30, 2024 | 146.15 Mn |
| Mar 31, 2024 | 128.39 Mn |
| Dec 31, 2023 | 112.34 Mn |
| Sep 30, 2023 | 83.28 Mn |
| Jun 30, 2023 | 71.70 Mn |
| Mar 31, 2023 | 61.25 Mn |
| Dec 31, 2022 | 48.26 Mn |
| Sep 30, 2022 | 26.38 Mn |
| Jun 30, 2022 | 291.87 Mn |
| Mar 31, 2022 | 275.08 Mn |
| Dec 31, 2021 | 29.40 Mn |
| Sep 30, 2021 | 44.09 Mn |
API Access
Industrial Logistics Properties Trust Cash & Equivalents 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=cash-and-equivalents&ticker=ILPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ILPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();