Global Net Lease (GNL) Price to Earnings (2016 - 2022)
Global Net Lease's Price to Earnings came in at 709.62 for Q3 2022.
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Analysis
Global Net Lease (GNL) Price to Earnings (2016 - 2022) Analysis & Trends
For FY2019, Global Net Lease's Price to Earnings was 52.53, down 96.6% from FY2018.
- Going back by year, Price to Earnings was 1567.53 in FY2018, 66.81 in FY2017 (+102.4%) and 33.02 in FY2016.
- The Q3 2022 figure represents the highest quarterly Price to Earnings since Q4 2018.
- The fastest year-over-year change in Price to Earnings over five years came in Q1 2019 (growth of 384.2%), and the weakest in Q4 2019 (a decline of 96.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - |
| 10 | Global Net Lease | 1.74 Bn | 1.12 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 709.62 |
| Sep 30, 2020 | 96.50 |
| Jun 30, 2020 | 67.66 |
| Mar 31, 2020 | 35.41 |
| Dec 31, 2019 | 52.53 |
| Sep 30, 2019 | 94.20 |
| Jun 30, 2019 | 138.97 |
| Mar 31, 2019 | 351.19 |
| Dec 31, 2018 | 1,567.53 |
| Sep 30, 2018 | 145.18 |
| Jun 30, 2018 | 124.85 |
| Mar 31, 2018 | 72.53 |
| Dec 31, 2017 | 66.81 |
| Sep 30, 2017 | 48.02 |
| Jun 30, 2017 | 39.89 |
| Mar 31, 2017 | 33.19 |
| Dec 31, 2016 | 33.02 |
| Sep 30, 2016 | 31.93 |
| Jun 30, 2016 | 33.59 |
API Access
Global Net Lease Price to Earnings 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=price-to-earnings&ticker=GNL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=GNL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();