Industrial Logistics Properties Trust (ILPT) Amortizatization of Intangibles (2017 - 2026)
Industrial Logistics Properties Trust's Amortizatization of Intangibles came in at $7.06 million for Q2 2026, down 11.5% from $7.98 million a year earlier and down 4.2% from the prior quarter.
Industrial Logistics Properties Trust (ILPT) Amortizatization of Intangibles (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Industrial Logistics Properties Trust reported Amortizatization of Intangibles of $29.97 million, down 14.9% year-over-year; for FY2025, it was $31.75 million, down 22.1% from FY2024.
- Amortizatization of Intangibles carries a five-year compound annual growth rate of 5.3% (FY2020 to FY2025).
- Going back by year, Amortizatization of Intangibles was $40.73 million in FY2024 (-18.4%), $49.94 million in FY2023 (+2.8%), $48.57 million in FY2022 (+191.6%) and $16.66 million in FY2021 (-32.2%).
- The Q2 2026 figure represents the lowest quarterly Amortizatization of Intangibles since Q4 2021.
- Year-over-year, Amortizatization of Intangibles has declined for 12 consecutive quarters, with an average decline of 18.4% over the last eight quarters.
- The fastest year-over-year change in Amortizatization of Intangibles over five years came in Q3 2022 (growth of 298.7%), and the weakest in Q3 2021 (a decline of 36.8%).
- Business Quant data shows ILPT's Amortizatization of Intangibles at $7.37 million (Q1 2026), $7.73 million (Q4 2025) and $7.82 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | 11.09 Mn |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | - |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | - |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | - |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | - |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | - |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | - |
| 10 | Industrial Logistics Properties Trust | 472.68 Mn | 852.18 Mn | - | 7.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.06 Mn |
| Mar 31, 2026 | 7.37 Mn |
| Dec 31, 2025 | 7.73 Mn |
| Sep 30, 2025 | 7.82 Mn |
| Jun 30, 2025 | 7.98 Mn |
| Mar 31, 2025 | 8.22 Mn |
| Dec 31, 2024 | 8.73 Mn |
| Sep 30, 2024 | 10.29 Mn |
| Jun 30, 2024 | 10.73 Mn |
| Mar 31, 2024 | 10.97 Mn |
| Dec 31, 2023 | 11.66 Mn |
| Sep 30, 2023 | 11.97 Mn |
| Jun 30, 2023 | 12.89 Mn |
| Mar 31, 2023 | 13.41 Mn |
| Dec 31, 2022 | 14.89 Mn |
| Sep 30, 2022 | 16.20 Mn |
| Jun 30, 2022 | 10.25 Mn |
| Mar 31, 2022 | 7.22 Mn |
| Dec 31, 2021 | 4.09 Mn |
| Sep 30, 2021 | 4.06 Mn |
Industrial Logistics Properties Trust Amortizatization of 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=amortizatization-of-intangibles&ticker=ILPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-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=amortizatization-of-intangibles&ticker=ILPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();