Industrial Logistics Properties Trust (ILPT) Intangibles (2017 - 2026)
Industrial Logistics Properties Trust's Intangibles was $148.39 million in Q2 2026, down 18.0% from $180.98 million a year earlier and down 5.0% from the prior quarter.
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Analysis
Industrial Logistics Properties Trust (ILPT) Intangibles (2017 - 2026) Analysis & Trends
At the end of FY2025, Intangibles at Industrial Logistics Properties Trust came in at $164.19 million, down 17.6% from FY2024.
- Intangibles has now declined for three consecutive years, though with a five-year compound annual growth rate of 14.4% (FY2020 to FY2025).
- In earlier years, Intangibles was $199.19 million in FY2024 (-18.2%), $243.52 million in FY2023 (-18.1%), $297.45 million in FY2022 (+368.9%) and $63.44 million in FY2021 (-24.2%).
- The Q2 2026 figure marks the lowest quarterly Intangibles since Q4 2021.
- Compared with a year earlier, Intangibles has declined for 13 straight quarters, with an average decline of 17.9% over the last eight quarters.
- The best year-over-year quarter for Intangibles over five years was Q4 2022 (growth of 368.9%); the worst was Q3 2021 (a decline of 35.5%).
- Per Business Quant data, ILPT's Intangibles in the three quarters before Q2 2026 was $156.13 million (Q1 2026), $164.19 million (Q4 2025) and $172.33 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (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 | - | 5.62 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 | 1.68 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 566.00 Mn |
| 10 | Industrial Logistics Properties Trust | 474.01 Mn | 853.52 Mn | - | 148.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 148.39 Mn |
| Mar 31, 2026 | 156.13 Mn |
| Dec 31, 2025 | 164.19 Mn |
| Sep 30, 2025 | 172.33 Mn |
| Jun 30, 2025 | 180.98 Mn |
| Mar 31, 2025 | 190.12 Mn |
| Dec 31, 2024 | 199.19 Mn |
| Sep 30, 2024 | 208.79 Mn |
| Jun 30, 2024 | 219.98 Mn |
| Mar 31, 2024 | 231.62 Mn |
| Dec 31, 2023 | 243.52 Mn |
| Sep 30, 2023 | 254.97 Mn |
| Jun 30, 2023 | 267.89 Mn |
| Mar 31, 2023 | 282.95 Mn |
| Dec 31, 2022 | 297.45 Mn |
| Sep 30, 2022 | 313.44 Mn |
| Jun 30, 2022 | 327.32 Mn |
| Mar 31, 2022 | 282.31 Mn |
| Dec 31, 2021 | 63.44 Mn |
| Sep 30, 2021 | 79.48 Mn |
API Access
Industrial Logistics Properties Trust Intangibles 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=intangibles&ticker=ILPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=ILPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();