Industrial Logistics Properties Trust (ILPT) Revenue (2017 - 2018)
Industrial Logistics Properties Trust (ILPT) reported Revenue of $42.07 million for Q4 2018, up 6.8% from $39.4 million a year earlier and up 4.1% from the prior quarter.
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Analysis
Industrial Logistics Properties Trust (ILPT) Revenue (2017 - 2018) Analysis & Trends
For FY2018, Industrial Logistics Properties Trust posted Revenue of $162.53 million, up 3.8% from FY2017.
- By year, Revenue came in at $156.51 million in FY2017 (+2.1%) and $153.31 million in FY2016.
- The Q4 2018 figure ranks as the highest quarterly Revenue in data going back to Q1 2017.
- Year over year, Revenue has now increased in each of the last four quarters, with growth averaging 3.8% over the last four quarters.
- Per Business Quant data, the three quarters before Q4 2018 came in at $40.43 million (Q3 2018), $39.42 million (Q2 2018) and $40.61 million (Q1 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn | 3.54 Bn |
| 2 | Prologis | 123.74 Bn | 128.13 Bn | - | 2.43 Bn |
| 3 | Simon Property | 66.68 Bn | 67.94 Bn | - | 1.79 Bn |
| 4 | Realty Income | 52.20 Bn | 54.59 Bn | - | 1.55 Bn |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - | 1.23 Bn |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - | 1.73 Bn |
| 7 | Extra Space Storage | 28.21 Bn | 28.21 Bn | 642.43 Mn | 874.15 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 1.06 Bn |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - | - |
| 10 | Industrial Logistics Properties Trust | 479.35 Mn | 858.86 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 42.07 Mn |
| Sep 30, 2018 | 40.43 Mn |
| Jun 30, 2018 | 39.42 Mn |
| Mar 31, 2018 | 40.61 Mn |
| Dec 31, 2017 | 39.40 Mn |
| Sep 30, 2017 | 39.07 Mn |
| Jun 30, 2017 | 38.61 Mn |
| Mar 31, 2017 | 39.44 Mn |
API Access
Industrial Logistics Properties Trust Revenue 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=revenue&ticker=ILPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=ILPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();