Industrial Logistics Properties Trust (ILPT) Accumulated Depreciation (2017 - 2026)
Industrial Logistics Properties Trust (ILPT) posted Accumulated Depreciation of $711.5 million for Q2 2026, up 22.7% from $579.71 million a year earlier and up 4.6% from the prior quarter.
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Analysis
Industrial Logistics Properties Trust (ILPT) Accumulated Depreciation (2017 - 2026) Analysis & Trends
At the end of FY2025, Industrial Logistics Properties Trust's Accumulated Depreciation came in at $648.31 million, up 23.8% from FY2024.
- Annual Accumulated Depreciation has increased for eight consecutive years, with a five-year compound annual growth rate of 35.6% (FY2020 to FY2025).
- In prior years, Industrial Logistics Properties Trust's Accumulated Depreciation was $523.89 million in FY2024 (+31.8%), $397.45 million in FY2023 (+45.3%), $273.47 million in FY2022 (+63.3%) and $167.49 million in FY2021 (+18.4%).
- The Q2 2026 figure stands as the highest quarterly Accumulated Depreciation in data going back to Q4 2017.
- On a year-over-year basis, Accumulated Depreciation has increased in each of the last 31 quarters, with growth averaging 27.0% over the last eight quarters.
- The year-over-year growth in Accumulated Depreciation has ranged between 2.7% (Q3 2021) and 66.9% (Q1 2023) over the last five years.
- According to Business Quant data, Accumulated Depreciation for the three prior quarters was $680.3 million (Q1 2026), $648.31 million (Q4 2025) and $608.54 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - |
| 6 | Ventas | 43.61 Bn | 42.81 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 |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - |
| 10 | Industrial Logistics Properties Trust | 474.01 Mn | 853.52 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 711.50 Mn |
| Mar 31, 2026 | 680.30 Mn |
| Dec 31, 2025 | 648.31 Mn |
| Sep 30, 2025 | 608.54 Mn |
| Jun 30, 2025 | 579.71 Mn |
| Mar 31, 2025 | 555.71 Mn |
| Dec 31, 2024 | 523.89 Mn |
| Sep 30, 2024 | 492.14 Mn |
| Jun 30, 2024 | 460.53 Mn |
| Mar 31, 2024 | 428.97 Mn |
| Dec 31, 2023 | 397.45 Mn |
| Sep 30, 2023 | 361.81 Mn |
| Jun 30, 2023 | 330.88 Mn |
| Mar 31, 2023 | 304.58 Mn |
| Dec 31, 2022 | 273.47 Mn |
| Sep 30, 2022 | 242.48 Mn |
| Jun 30, 2022 | 210.87 Mn |
| Mar 31, 2022 | 182.48 Mn |
| Dec 31, 2021 | 167.49 Mn |
| Sep 30, 2021 | 164.84 Mn |
API Access
Industrial Logistics Properties Trust Accumulated Depreciation 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=accumulated-depreciation&ticker=ILPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-depreciation", "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=accumulated-depreciation&ticker=ILPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();