Industrial Logistics Properties Trust (ILPT) Net Margin (2017 - 2018)
Industrial Logistics Properties Trust's Net Margin was 43.47% in Q4 2018, up 4.71 percentage points from 38.76% a year earlier but down 1.41 percentage points from the prior quarter.
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Analysis
Industrial Logistics Properties Trust (ILPT) Net Margin (2017 - 2018) Analysis & Trends
For FY2018, Net Margin at Industrial Logistics Properties Trust came in at 45.77%, down 5.41 percentage points from FY2017.
- In earlier years, Net Margin was 51.18% in FY2017 (-5.50 pp) and 56.68% in FY2016.
- Quarterly Net Margin has moved between 38.76% (Q4 2017) and 58.63% (Q3 2017) over five years.
- Compared with a year earlier, Net Margin was higher in 1 of the last four quarters, with an average year-over-year change of -5.42 percentage points.
- Per Business Quant data, ILPT's Net Margin in the three quarters before Q4 2018 was 44.87% (Q3 2018), 47.50% (Q2 2018) and 47.36% (Q1 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 12.55% |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 43.74% |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 170.16% |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 22.22% |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 36.52% |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 4.08% |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 30.14% |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 49.74% |
| 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 | 43.47% |
| Sep 30, 2018 | 44.87% |
| Jun 30, 2018 | 47.50% |
| Mar 31, 2018 | 47.36% |
| Dec 31, 2017 | 38.76% |
| Sep 30, 2017 | 58.63% |
| Jun 30, 2017 | 55.89% |
| Mar 31, 2017 | 51.61% |
API Access
Industrial Logistics Properties Trust Net 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=net-margin&ticker=ILPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-margin&ticker=ILPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();