Industrial Logistics Properties Trust (ILPT) FCF Margin (2017 - 2018)
Industrial Logistics Properties Trust's FCF Margin came in at 56.14% for Q4 2018, down 2.61 percentage points from 58.76% a year earlier and down 2.71 percentage points from the prior quarter.
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Analysis
Industrial Logistics Properties Trust (ILPT) FCF Margin (2017 - 2018) Analysis & Trends
For FY2018, Industrial Logistics Properties Trust's FCF Margin was 56.46%, down 5.80 percentage points from FY2017.
- Going back by year, FCF Margin was 62.25% in FY2017 (-8.13 pp) and 70.38% in FY2016.
- The five-year range for quarterly FCF Margin is 51.09% (Q1 2018) to 70.64% (Q2 2017).
- Year-over-year, FCF Margin has declined for four consecutive quarters, with an average year-over-year change of -5.81 percentage points over the last four quarters.
- Business Quant data shows ILPT's FCF Margin at 58.86% (Q3 2018), 59.86% (Q2 2018) and 51.09% (Q1 2018) in the three quarters before Q4 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 19.31% |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 52.96% |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 70.29% |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 65.90% |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 26.29% |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 63.45% |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 66.74% |
| 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 | 56.14% |
| Sep 30, 2018 | 58.86% |
| Jun 30, 2018 | 59.86% |
| Mar 31, 2018 | 51.09% |
| Dec 31, 2017 | 58.76% |
| Sep 30, 2017 | 62.09% |
| Jun 30, 2017 | 70.64% |
| Mar 31, 2017 | 57.69% |
API Access
Industrial Logistics Properties Trust FCF 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=fcf-margin&ticker=ILPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-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=fcf-margin&ticker=ILPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();