Industrial Logistics Properties Trust (ILPT) Asset Writedowns and Impairment (2017 - 2025)
Industrial Logistics Properties Trust's (ILPT) quarterly Asset Writedowns and Impairment came in at $6.1 million in Q3 2025, up 6305.1% quarter-over-quarter from -$98000.0 in Q4 2023.
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Analysis
Industrial Logistics Properties Trust (ILPT) Asset Writedowns and Impairment (2017 - 2025) Analysis & Trends
Industrial Logistics Properties Trust (ILPT) has reported Asset Writedowns and Impairment for 5 consecutive years, with $6.1 million the latest figure, recorded in Q3 2025.
- On a quarterly basis, Asset Writedowns and Impairment changed N/A year-over-year to $6.1 million in Q3 2025; TTM through Dec 2025 was $6.1 million, a 6305.1% increase from a year earlier, with the FY2025 full-year figure at $6.1 million, changed N/A from the prior year.
- Asset Writedowns and Impairment was $6.1 million for Q3 2025 at Industrial Logistics Properties Trust, up from -$98000.0 in the prior quarter.
- Over five years, Asset Writedowns and Impairment peaked at $100.7 million in Q2 2022 and troughed at -$98000.0 in Q4 2023.
- A 3-year average of $26.7 million and a median of $3.2 million in 2023 frame the typical range for Asset Writedowns and Impairment.
- The widest YoY moves for Asset Writedowns and Impairment: up 99.75% in 2023, down 99.75% in 2023.
- Over 3 years, Asset Writedowns and Impairment stood at $100.7 million in 2022, then slumped by 100.1% to -$98000.0 in 2023, then surged by 6305.1% to $6.1 million in 2025.
- The last three Asset Writedowns and Impairment figures came in at $6.1 million (Q3 2025), -$98000.0 (Q4 2023), and $254000.0 (Q2 2023), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Prologis | 126.70 Bn | 131.10 Bn | 2.41 Bn |
| 2 | Eastgroup Properties | 10.89 Bn | 10.89 Bn | 193.10 Mn |
| 3 | Rexford Industrial Realty | 8.63 Bn | 8.99 Bn | - |
| 4 | Lineage | 8.55 Bn | 9.48 Bn | 425.00 Mn |
| 5 | STAG Industrial | 7.23 Bn | 7.31 Bn | - |
| 6 | Terreno Realty | 7.15 Bn | 7.15 Bn | - |
| 7 | Americold Realty Trust | 4.20 Bn | 4.20 Bn | 212.69 Mn |
| 8 | LXP Industrial Trust | 3.59 Bn | 3.60 Bn | 71.94 Mn |
| 9 | Innovative Industrial Properties | 1.55 Bn | 1.55 Bn | - |
| 10 | Industrial Logistics Properties Trust | 521.41 Mn | 900.92 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 6.08 Mn |
| Dec 31, 2023 | -98,000.00 |
| Jun 30, 2023 | 254,000.00 |
| Jun 30, 2022 | 100.75 Mn |
| Dec 31, 2018 | 216,000.00 |
| Sep 30, 2018 | 475,000.00 |
| Jun 30, 2018 | 107,000.00 |
| Mar 31, 2018 | 400,000.00 |
| Dec 31, 2017 | 248,000.00 |
| Sep 30, 2017 | 292,000.00 |
| Jun 30, 2017 | 141,000.00 |
| Mar 31, 2017 | 23,000.00 |
API Access
Industrial Logistics Properties Trust Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=ILPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=ILPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();