Industrial Logistics Properties Trust (ILPT) Enterprise Value (2018 - 2026)
Industrial Logistics Properties Trust's Enterprise Value came in at $836.36 million for Q2 2026, up 24.5% from $671.92 million a year earlier and up 22.4% from the prior quarter.
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Analysis
Industrial Logistics Properties Trust (ILPT) Enterprise Value (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Industrial Logistics Properties Trust reported Enterprise Value of $558.88 million, up 100.7% year-over-year; for FY2025, it was $685.45 million, up 23.1% from FY2024.
- Enterprise Value carries a five-year compound annual growth rate of -14.5% (FY2020 to FY2025).
- Going back by year, Enterprise Value was $557.03 million in FY2024 (-19.1%), $688.95 million in FY2023 (-2.4%), $706.19 million in FY2022 (-56.1%) and $1.61 billion in FY2021 (+7.4%).
- The Q2 2026 figure represents the highest quarterly Enterprise Value since Q3 2022.
- Year-over-year, Enterprise Value has increased for five consecutive quarters, with growth averaging 9.5% over the last eight quarters.
- The fastest year-over-year change in Enterprise Value over five years came in Q2 2026 (growth of 24.5%), and the weakest in Q1 2023 (a decline of 62.9%).
- Business Quant data shows ILPT's Enterprise Value at $683.14 million (Q1 2026), $685.45 million (Q4 2025) and $724.96 million (Q3 2025) in the three quarters before Q2 2026.
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 | 836.36 Mn |
| Mar 31, 2026 | 683.14 Mn |
| Dec 31, 2025 | 685.45 Mn |
| Sep 30, 2025 | 724.96 Mn |
| Jun 30, 2025 | 671.92 Mn |
| Mar 31, 2025 | 556.97 Mn |
| Dec 31, 2024 | 557.03 Mn |
| Sep 30, 2024 | 617.86 Mn |
| Jun 30, 2024 | 566.14 Mn |
| Mar 31, 2024 | 633.30 Mn |
| Dec 31, 2023 | 688.95 Mn |
| Sep 30, 2023 | 611.63 Mn |
| Jun 30, 2023 | 662.10 Mn |
| Mar 31, 2023 | 667.59 Mn |
| Dec 31, 2022 | 706.19 Mn |
| Sep 30, 2022 | 883.34 Mn |
| Jun 30, 2022 | 1.21 Bn |
| Mar 31, 2022 | 1.80 Bn |
| Dec 31, 2021 | 1.61 Bn |
| Sep 30, 2021 | 1.62 Bn |
API Access
Industrial Logistics Properties Trust Enterprise Value 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=enterprise-value&ticker=ILPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=ILPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();