Global Net Lease (GNL) Payout Ratio (2016 - 2022)
Global Net Lease's Payout Ratio was 106.68 in Q3 2022.
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Analysis
Global Net Lease (GNL) Payout Ratio (2016 - 2022) Analysis & Trends
For FY2019, Payout Ratio at Global Net Lease came in at 4.37, down 96.8% from FY2018.
- In earlier years, Payout Ratio was 136.27 in FY2018, 6.89 in FY2017 (+169.6%) and 2.55 in FY2016.
- The Q3 2022 figure marks the highest quarterly Payout Ratio since Q4 2018.
- The best year-over-year quarter for Payout Ratio over five years was Q1 2019 (growth of 275.3%); the worst was Q4 2019 (a decline of 96.8%).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 106.68 |
| Sep 30, 2020 | 11.30 |
| Jun 30, 2020 | 7.96 |
| Mar 31, 2020 | 4.59 |
| Dec 31, 2019 | 4.37 |
| Sep 30, 2019 | 7.68 |
| Jun 30, 2019 | 11.31 |
| Mar 31, 2019 | 34.33 |
| Dec 31, 2018 | 136.27 |
| Sep 30, 2018 | 10.45 |
| Jun 30, 2018 | 9.12 |
| Mar 31, 2018 | 9.15 |
| Dec 31, 2017 | 6.89 |
| Sep 30, 2017 | 4.46 |
| Jun 30, 2017 | 3.49 |
| Mar 31, 2017 | 2.61 |
| Dec 31, 2016 | 2.55 |
| Sep 30, 2016 | 2.75 |
| Jun 30, 2016 | 3.00 |
API Access
Global Net Lease Payout Ratio 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=payout-ratio&ticker=GNL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payout-ratio", "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=payout-ratio&ticker=GNL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();