Industrial Logistics Properties Trust (ILPT) Long-Term Debt Repayments (2017 - 2026)
Industrial Logistics Properties Trust (ILPT) recorded Long-Term Debt Repayments of $1.61 billion in Q2 2026, up 30.5% from $1.24 billion a year earlier.
Industrial Logistics Properties Trust (ILPT) Long-Term Debt Repayments (2017 - 2026) Analysis & Trends
On a TTM basis, Industrial Logistics Properties Trust's Long-Term Debt Repayments came in at $395.92 million as of Jun 30, 2026, down 68.3% year-over-year; for FY2025, it was $18.79 million, up 3.7% from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of -17.4% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $18.12 million in FY2024 (-67.3%), $55.42 million in FY2023 (-96.0%) and $1.39 billion in FY2022.
- The Q2 2026 figure is the highest quarterly Long-Term Debt Repayments in data going back to Q1 2017.
- On a year-over-year basis, Long-Term Debt Repayments has increased for three consecutive quarters, with growth averaging 8.2% over the last six quarters.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 663.7% in Q2 2023, against a decline of 99.7% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.81 million (Q1 2026), $4.76 million (Q4 2025) and -$1.23 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 1.12 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 1.09 Bn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 600.00 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 34,000.00 |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 868.15 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 6.00 Bn |
| 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 | - | 1.61 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.61 Bn |
| Mar 31, 2026 | 4.81 Mn |
| Dec 31, 2025 | 4.76 Mn |
| Mar 31, 2025 | 4.63 Mn |
| Dec 31, 2024 | 4.59 Mn |
| Sep 30, 2024 | 4.55 Mn |
| Jun 30, 2024 | 4.51 Mn |
| Mar 31, 2024 | 4.47 Mn |
| Dec 31, 2023 | 4.43 Mn |
| Sep 30, 2023 | 4.39 Mn |
| Jun 30, 2023 | 41.08 Mn |
| Mar 31, 2023 | 5.53 Mn |
| Sep 30, 2022 | 1.38 Bn |
| Jun 30, 2022 | 5.38 Mn |
| Mar 31, 2022 | 1.78 Mn |
| Dec 31, 2019 | 847.00 Mn |
| Dec 31, 2018 | 530.00 Mn |
| Dec 31, 2017 | 749.98 Mn |
| Sep 30, 2017 | 9,000.00 |
| Jun 30, 2017 | 8,000.00 |
Industrial Logistics Properties Trust Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=ILPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=ILPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();