Industrial Logistics Properties Trust (ILPT) Payables (2018 - 2026)
Industrial Logistics Properties Trust (ILPT) posted Payables of $87.62 million for Q2 2026, up 13.9% from $76.89 million a year earlier and up 6.0% from the prior quarter.
Industrial Logistics Properties Trust (ILPT) Payables (2018 - 2026) Analysis & Trends
At the end of FY2025, Industrial Logistics Properties Trust's Payables came in at $84.37 million, up 3.5% from FY2024.
- Annual Payables has increased for five consecutive years, with a five-year compound annual growth rate of 41.8% (FY2020 to FY2025).
- In prior years, Industrial Logistics Properties Trust's Payables was $81.53 million in FY2024 (+4.4%), $78.1 million in FY2023 (+6.2%), $73.55 million in FY2022 (+164.8%) and $27.77 million in FY2021 (+88.7%).
- Quarterly Payables has run from a low of $16.94 million in Q3 2021 to a high of $95.88 million in Q3 2025 over five years.
- On a year-over-year basis, Payables has increased in each of the last four quarters, with growth averaging 3.3% over the last eight quarters.
- The strongest year-over-year quarter for Payables in the past five years was Q2 2022, with growth of 440.1%; the weakest was Q3 2021, with a decline of 11.6%.
- According to Business Quant data, Payables for the three prior quarters was $82.65 million (Q1 2026), $84.37 million (Q4 2025) and $95.88 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | - |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 2.53 Bn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 1.96 Bn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 2.78 Bn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | - |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 1.35 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 | 500.76 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 1.89 Bn |
| 10 | Industrial Logistics Properties Trust | 474.01 Mn | 853.52 Mn | - | 87.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 87.62 Mn |
| Mar 31, 2026 | 82.65 Mn |
| Dec 31, 2025 | 84.37 Mn |
| Sep 30, 2025 | 95.88 Mn |
| Jun 30, 2025 | 76.89 Mn |
| Mar 31, 2025 | 76.48 Mn |
| Dec 31, 2024 | 81.53 Mn |
| Sep 30, 2024 | 91.83 Mn |
| Jun 30, 2024 | 79.22 Mn |
| Mar 31, 2024 | 80.11 Mn |
| Dec 31, 2023 | 78.10 Mn |
| Sep 30, 2023 | 92.54 Mn |
| Jun 30, 2023 | 79.62 Mn |
| Mar 31, 2023 | 75.94 Mn |
| Dec 31, 2022 | 73.55 Mn |
| Sep 30, 2022 | 86.73 Mn |
| Jun 30, 2022 | 78.18 Mn |
| Mar 31, 2022 | 68.86 Mn |
| Dec 31, 2021 | 27.77 Mn |
| Sep 30, 2021 | 16.94 Mn |
Industrial Logistics Properties Trust Payables 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=payables&ticker=ILPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=ILPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();