Getty Realty (GTY) Buildings and Improvements (2009 - 2026)
Getty Realty (GTY) posted Buildings of $275,000 for Q1 2019.
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Analysis
Getty Realty (GTY) Buildings and Improvements (2009 - 2026) Analysis & Trends
At the end of FY2016, Getty Realty's Buildings came in at $528,000, down 47.0% from FY2015.
- Annual Buildings shows a five-year compound annual growth rate of -71.3% (FY2011 to FY2016).
- In prior years, Getty Realty's Buildings was $997,000 in FY2015 (-99.6%), $246.11 million in FY2014 (+25.2%), $196.61 million in FY2013 (-5.6%) and $208.33 million in FY2012 (-23.0%).
- The Q1 2019 figure stands as the highest quarterly Buildings since Q1 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn |
| 10 | Getty Realty | 1.92 Bn | 1.90 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.29 Bn |
| Jun 30, 2026 | 1.22 Bn |
| Mar 31, 2026 | 1.15 Bn |
| Dec 31, 2025 | 1.14 Bn |
| Sep 30, 2025 | 1.09 Bn |
| Jun 30, 2025 | 1.07 Bn |
| Mar 31, 2025 | 1.03 Bn |
| Dec 31, 2024 | 1.03 Bn |
| Sep 30, 2024 | 980.75 Mn |
| Jun 30, 2024 | 939.71 Mn |
| Mar 31, 2024 | 901.57 Mn |
| Dec 31, 2023 | 847.34 Mn |
| Sep 30, 2023 | 819.75 Mn |
| Jun 30, 2023 | 752.05 Mn |
| Mar 31, 2023 | 740.11 Mn |
| Dec 31, 2022 | 707.35 Mn |
| Sep 30, 2022 | 671.10 Mn |
| Jun 30, 2022 | 665.93 Mn |
| Mar 31, 2022 | 632.13 Mn |
| Dec 31, 2021 | 632.07 Mn |
API Access
Getty Realty Buildings and Improvements 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=buildings-and-improvements&ticker=GTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings-and-improvements", "ticker": "GTY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=buildings-and-improvements&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();