Industrial Logistics Properties Trust (ILPT) EBIT (2017 - 2026)
Industrial Logistics Properties Trust's EBIT came in at $35.38 million for Q2 2026, up 5.9% from $33.41 million a year earlier but down 13.9% from the prior quarter.
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Analysis
Industrial Logistics Properties Trust (ILPT) EBIT (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Industrial Logistics Properties Trust reported EBIT of $145.46 million, down 1.6% year-over-year; for FY2025, it was $142.11 million, down 5.4% from FY2024.
- EBIT carries a five-year compound annual growth rate of 1.4% (FY2020 to FY2025).
- Going back by year, EBIT was $150.2 million in FY2024 (+8.8%), $138.02 million in FY2023, -$13.82 million in FY2022 and $114.66 million in FY2021 (-13.5%).
- The five-year range for quarterly EBIT is -$75.37 million (Q2 2022) to $41.09 million (Q1 2026).
- Year-over-year, EBIT has increased for three consecutive quarters, with an average decline of 1.3% over the last eight quarters.
- The fastest year-over-year change in EBIT over five years came in Q4 2023 (growth of 29.1%), and the weakest in Q3 2022 (a decline of 90.6%).
- Business Quant data shows ILPT's EBIT at $41.09 million (Q1 2026), $38.16 million (Q4 2025) and $30.83 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | -1.83 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 1.25 Bn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 890.67 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 708.40 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 466.68 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 214.27 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 392.18 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 735.50 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 202.93 Mn |
| 10 | Industrial Logistics Properties Trust | 474.01 Mn | 853.52 Mn | - | 35.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.38 Mn |
| Mar 31, 2026 | 41.09 Mn |
| Dec 31, 2025 | 38.16 Mn |
| Sep 30, 2025 | 30.83 Mn |
| Jun 30, 2025 | 33.41 Mn |
| Mar 31, 2025 | 39.71 Mn |
| Dec 31, 2024 | 37.32 Mn |
| Sep 30, 2024 | 37.40 Mn |
| Jun 30, 2024 | 37.84 Mn |
| Mar 31, 2024 | 37.64 Mn |
| Dec 31, 2023 | 38.09 Mn |
| Sep 30, 2023 | 36.08 Mn |
| Jun 30, 2023 | 32.57 Mn |
| Mar 31, 2023 | 31.28 Mn |
| Dec 31, 2022 | 29.49 Mn |
| Sep 30, 2022 | 2.50 Mn |
| Jun 30, 2022 | -75.37 Mn |
| Mar 31, 2022 | 29.55 Mn |
| Dec 31, 2021 | 37.00 Mn |
| Sep 30, 2021 | 26.47 Mn |
API Access
Industrial Logistics Properties Trust EBIT 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=ebit&ticker=ILPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=ILPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();