Industrial Logistics Properties Trust (ILPT) Acquisitions (2017 - 2019)
Industrial Logistics Properties Trust (ILPT) recorded Acquisitions of $125,000 in Q4 2019, down 99.5% from $26.81 million a year earlier and down 99.6% from the prior quarter.
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Analysis
Industrial Logistics Properties Trust (ILPT) Acquisitions (2017 - 2019) Analysis & Trends
For FY2019, Industrial Logistics Properties Trust reported Acquisitions of $884.57 million, up 625.7% from FY2018.
- Across earlier years, Acquisitions came in at $121.89 million in FY2018 and $281,000 in FY2017.
- The Q4 2019 figure is the lowest quarterly Acquisitions since Q2 2017.
- Per Business Quant, the preceding three quarters came in at $32.29 million (Q3 2019), $570.73 million (Q2 2019) and $281.42 million (Q1 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (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 | - | 16.22 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 1.90 Bn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 222.45 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 1.48 Bn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 158.83 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, 2019 | 125,000.00 |
| Sep 30, 2019 | 32.29 Mn |
| Jun 30, 2019 | 570.73 Mn |
| Mar 31, 2019 | 281.42 Mn |
| Dec 31, 2018 | 26.81 Mn |
| Sep 30, 2018 | 51.75 Mn |
| Jun 30, 2018 | 43.33 Mn |
| Jun 30, 2017 | 4,000.00 |
| Mar 31, 2017 | 277,000.00 |
API Access
Industrial Logistics Properties Trust Acquisitions 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=acquisitions&ticker=ILPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=ILPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();