Industrial Logistics Properties Trust (ILPT) EBITDA Margin (2017 - 2018)
Industrial Logistics Properties Trust (ILPT) reported EBITDA Margin of 72.56% for Q4 2018, up 14.73 percentage points from 57.83% a year earlier and up 0.35 percentage points from the prior quarter.
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Analysis
Industrial Logistics Properties Trust (ILPT) EBITDA Margin (2017 - 2018) Analysis & Trends
For FY2018, Industrial Logistics Properties Trust posted EBITDA Margin of 73.03%, up 3.05 percentage points from FY2017.
- By year, EBITDA Margin came in at 69.98% in FY2017 (-5.61 pp) and 75.59% in FY2016.
- Five-year quarterly EBITDA Margin spans a low of 57.83% in Q4 2017 and a high of 77.29% in Q3 2017.
- Year over year, EBITDA Margin gained in two of the last four quarters, with an average year-over-year change of +2.93 percentage points.
- Per Business Quant data, the three quarters before Q4 2018 came in at 72.21% (Q3 2018), 73.64% (Q2 2018) and 73.40% (Q1 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | -30.49% |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 80.02% |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 75.19% |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 87.42% |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 61.19% |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 36.41% |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 66.10% |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 69.58% |
| 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, 2018 | 72.56% |
| Sep 30, 2018 | 72.21% |
| Jun 30, 2018 | 73.64% |
| Mar 31, 2018 | 73.40% |
| Dec 31, 2017 | 57.83% |
| Sep 30, 2017 | 77.29% |
| Jun 30, 2017 | 74.89% |
| Mar 31, 2017 | 70.09% |
API Access
Industrial Logistics Properties Trust EBITDA Margin 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=ebitda-margin&ticker=ILPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=ILPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();