Global Net Lease (GNL) Gross Profit (2017 - 2019)
Global Net Lease (GNL) reported Gross Profit of $69.72 million for Q3 2019, up 7.3% from $64.97 million a year earlier and up 2.6% from the prior quarter.
Global Net Lease (GNL) Gross Profit (2017 - 2019) Analysis & Trends
Over the twelve months ended Sep 30, 2019, Global Net Lease's Gross Profit came in at $269.02 million, up 7.6% year-over-year; for FY2018, it was $253.97 million, up 8.1% from FY2017.
- By year, Gross Profit came in at $234.84 million in FY2017 (+20.8%) and $194.42 million in FY2016.
- The Q3 2019 figure ranks as the highest quarterly Gross Profit in data going back to Q2 2017.
- Year over year, Gross Profit has now increased in each of the last six quarters, with growth averaging 8.2% over the last six quarters.
- Per Business Quant data, the three quarters before Q3 2019 came in at $67.96 million (Q2 2019), $67.43 million (Q1 2019) and $63.92 million (Q4 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn |
| 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 |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn |
| 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 | 69.72 Mn |
| Jun 30, 2019 | 67.96 Mn |
| Mar 31, 2019 | 67.43 Mn |
| Dec 31, 2018 | 63.92 Mn |
| Sep 30, 2018 | 64.97 Mn |
| Jun 30, 2018 | 63.83 Mn |
| Mar 31, 2018 | 61.26 Mn |
| Dec 31, 2017 | 59.98 Mn |
| Sep 30, 2017 | 58.48 Mn |
| Jun 30, 2017 | 59.27 Mn |
Global Net Lease Gross Profit 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-profit&ticker=GNL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-profit", "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-profit&ticker=GNL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();