Gaming & Leisure Properties (GLPI) Gross Margin (2016 - 2022)
Gaming & Leisure Properties (GLPI) recorded Gross Margin of 100.00% in FY2023, unchanged from 100.00% in FY2022.
Analysis
Gaming & Leisure Properties (GLPI) Gross Margin (2016 - 2022) Analysis & Trends
Starting with FY2015, Gaming & Leisure Properties' Gross Margin history includes 9 years.
- Annual Gross Margin has a five-year change of +7.31 percentage points (FY2018 to FY2023).
- Per Business Quant data, GLPI's Gross Margin was 100.00% in FY2022 (+4.36 pp), 95.64% in FY2021 (+0.56 pp), 95.08% in FY2020 (+1.56 pp) and 93.52% in FY2019 (+0.83 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 169.62 Bn | 155.64 Bn | 1.47 Bn | 39.55% |
| 2 | Prologis | 120.88 Bn | 114.83 Bn | - | - |
| 3 | Simon Property | 70.16 Bn | 66.01 Bn | - | - |
| 4 | Public Storage | 58.49 Bn | 57.21 Bn | - | - |
| 5 | Realty Income | 53.36 Bn | 51.58 Bn | - | - |
| 6 | Ventas | 43.21 Bn | 41.88 Bn | - | - |
| 7 | Extra Space Storage | 31.63 Bn | 31.63 Bn | - | - |
| 8 | Vici Properties | 26.92 Bn | 25.27 Bn | 1.06 Bn | 99.36% |
| 9 | Vivmark Residential | 23.10 Bn | 22.88 Bn | - | - |
| 10 | Gaming & Leisure Properties | 11.28 Bn | 9.71 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 100.00% |
| Sep 30, 2022 | 100.00% |
| Jun 30, 2022 | 100.00% |
| Mar 31, 2022 | 100.00% |
| Dec 31, 2021 | 98.34% |
| Sep 30, 2021 | 98.07% |
| Jun 30, 2021 | 92.96% |
| Mar 31, 2021 | 93.39% |
| Dec 31, 2020 | 94.28% |
| Sep 30, 2020 | 94.09% |
| Jun 30, 2020 | 98.15% |
| Mar 31, 2020 | 94.18% |
| Dec 31, 2019 | 93.78% |
| Sep 30, 2019 | 93.55% |
| Jun 30, 2019 | 93.37% |
| Mar 31, 2019 | 93.39% |
| Dec 31, 2018 | 94.03% |
| Sep 30, 2018 | 92.54% |
| Jun 30, 2018 | 91.97% |
| Mar 31, 2018 | 91.95% |
API Access
Gaming & Leisure Properties 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=GLPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "ticker": "GLPI", "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=GLPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();