Global Net Lease (GNL) Gross Margin (2017 - 2019)
Global Net Lease's Gross Margin was 89.45% in Q3 2019, down 0.87 percentage points from 90.33% a year earlier but up 0.18 percentage points from the prior quarter.
Global Net Lease (GNL) Gross Margin (2017 - 2019) Analysis & Trends
For FY2018, Gross Margin at Global Net Lease came in at 90.00%, down 0.57 percentage points from FY2017.
- In earlier years, Gross Margin was 90.57% in FY2017 (-0.21 pp) and 90.78% in FY2016.
- Quarterly Gross Margin has moved between 89.28% (Q2 2019) and 91.21% (Q2 2017) over five years.
- Compared with a year earlier, Gross Margin has declined for four straight quarters, with an average year-over-year change of -0.59 percentage points over the last six quarters.
- Per Business Quant data, GNL's Gross Margin in the three quarters before Q3 2019 was 89.28% (Q2 2019), 89.34% (Q1 2019) and 89.74% (Q4 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 39.34% |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | - |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | - |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | - |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 73.49% |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 99.30% |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | - |
| 10 | Global Net Lease | 1.74 Bn | 1.12 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 89.45% |
| Jun 30, 2019 | 89.28% |
| Mar 31, 2019 | 89.34% |
| Dec 31, 2018 | 89.74% |
| Sep 30, 2018 | 90.33% |
| Jun 30, 2018 | 89.94% |
| Mar 31, 2018 | 89.97% |
| Dec 31, 2017 | 90.05% |
| Sep 30, 2017 | 90.15% |
| Jun 30, 2017 | 91.21% |
Global Net Lease Gross 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=gross-margin&ticker=GNL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "ticker": "GNL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=gross-margin&ticker=GNL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();