Industrial Logistics Properties Trust (ILPT) Restructuring Costs (2017 - 2023)
Industrial Logistics Properties Trust (ILPT) reported Restructuring Costs of $287,000 for Q4 2023.
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Analysis
Industrial Logistics Properties Trust (ILPT) Restructuring Costs (2017 - 2023) Analysis & Trends
Dating back to Q3 2017, Industrial Logistics Properties Trust's Restructuring Costs record includes 8 quarters.
- Restructuring Costs has declined for three consecutive years, with a three-year compound annual growth rate of -75.5% (FY2020 to FY2023).
- By year, Restructuring Costs came in at $586,000 in FY2022 (-48.2%), $1.13 million in FY2021 (-94.2%) and $19.58 million in FY2020.
- The Q4 2023 figure ranks as the highest quarterly Restructuring Costs since Q3 2022.
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 |
|---|---|
| Dec 31, 2023 | 287,000.00 |
| Sep 30, 2022 | 586,000.00 |
| Dec 31, 2021 | 486,000.00 |
| Jun 30, 2021 | 646,000.00 |
| Dec 31, 2020 | 19.40 Mn |
| Sep 30, 2020 | 178,000.00 |
| Dec 31, 2017 | 100,000.00 |
| Sep 30, 2017 | 925,000.00 |
API Access
Industrial Logistics Properties Trust Restructuring Costs 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=restructuring-costs&ticker=ILPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=ILPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();