Industrial Logistics Properties Trust (ILPT) Receivables (2017 - 2026)
Industrial Logistics Properties Trust's Receivables came in at $138.96 million for Q2 2026, up 6.2% from $130.89 million a year earlier and up 1.0% from the prior quarter.
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Analysis
Industrial Logistics Properties Trust (ILPT) Receivables (2017 - 2026) Analysis & Trends
At the end of FY2025, Industrial Logistics Properties Trust's Receivables was $136.67 million, up 5.8% from FY2024.
- Receivables has increased in each of the last eight years, with a five-year compound annual growth rate of 13.6% (FY2020 to FY2025).
- Going back by year, Receivables was $129.16 million in FY2024 (+8.4%), $119.17 million in FY2023 (+10.7%), $107.63 million in FY2022 (+41.8%) and $75.88 million in FY2021 (+5.1%).
- The Q2 2026 figure represents the highest quarterly Receivables in data going back to Q4 2017.
- Year-over-year, Receivables has increased for 31 consecutive quarters, with growth averaging 7.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Receivables ranged from 4.6% (Q1 2024) to 42.2% (Q1 2023).
- Business Quant data shows ILPT's Receivables at $137.59 million (Q1 2026), $136.67 million (Q4 2025) and $130.09 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 3.24 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 934.08 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 1.31 Bn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | - |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 108.05 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 114.68 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 | - | 138.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 138.96 Mn |
| Mar 31, 2026 | 137.59 Mn |
| Dec 31, 2025 | 136.67 Mn |
| Sep 30, 2025 | 130.09 Mn |
| Jun 30, 2025 | 130.89 Mn |
| Mar 31, 2025 | 131.46 Mn |
| Dec 31, 2024 | 129.16 Mn |
| Sep 30, 2024 | 122.73 Mn |
| Jun 30, 2024 | 118.17 Mn |
| Mar 31, 2024 | 116.17 Mn |
| Dec 31, 2023 | 119.17 Mn |
| Sep 30, 2023 | 113.67 Mn |
| Jun 30, 2023 | 110.64 Mn |
| Mar 31, 2023 | 111.01 Mn |
| Dec 31, 2022 | 107.63 Mn |
| Sep 30, 2022 | 100.35 Mn |
| Jun 30, 2022 | 90.19 Mn |
| Mar 31, 2022 | 78.08 Mn |
| Dec 31, 2021 | 75.88 Mn |
| Sep 30, 2021 | 74.22 Mn |
API Access
Industrial Logistics Properties Trust Receivables 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=receivables&ticker=ILPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=ILPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();