Getty Realty (GTY) Land & Improvements (2011 - 2026)
Getty Realty's Land & Improvements came in at $1.08 billion for Q2 2026, up 10.9% from $978.17 million a year earlier and up 2.5% from the prior quarter.
Powered by 
Analysis
Getty Realty (GTY) Land & Improvements (2011 - 2026) Analysis & Trends
At the end of FY2025, Getty Realty's Land & Improvements was $1.05 billion, up 11.3% from FY2024.
- Land & Improvements has increased in each of the last nine years, with a five-year compound annual growth rate of 8.2% (FY2020 to FY2025).
- Going back by year, Land & Improvements was $943.8 million in FY2024 (+8.7%), $867.88 million in FY2023 (+8.2%), $802.01 million in FY2022 (+3.9%) and $772.09 million in FY2021 (+9.1%).
- The Q2 2026 figure represents the highest quarterly Land & Improvements in data going back to Q4 2011.
- Year-over-year, Land & Improvements has increased for 23 consecutive quarters, with growth averaging 9.1% over the last eight quarters.
- Across the past five years, year-over-year growth in Land & Improvements ran from 3.9% in Q4 2022 to 11.7% in Q1 2026.
- Business Quant data shows GTY's Land & Improvements at $1.06 billion (Q1 2026), $1.05 billion (Q4 2025) and $991.51 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 7.24 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 | - | 18.91 Bn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 6.00 Bn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 3.26 Bn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 5.15 Bn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 5.52 Bn |
| 10 | Getty Realty | 1.75 Bn | 1.75 Bn | - | 1.08 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.08 Bn |
| Mar 31, 2026 | 1.06 Bn |
| Dec 31, 2025 | 1.05 Bn |
| Sep 30, 2025 | 991.51 Mn |
| Jun 30, 2025 | 978.17 Mn |
| Mar 31, 2025 | 947.41 Mn |
| Dec 31, 2024 | 943.80 Mn |
| Sep 30, 2024 | 912.92 Mn |
| Jun 30, 2024 | 903.21 Mn |
| Mar 31, 2024 | 886.99 Mn |
| Dec 31, 2023 | 867.88 Mn |
| Sep 30, 2023 | 858.12 Mn |
| Jun 30, 2023 | 821.75 Mn |
| Mar 31, 2023 | 812.20 Mn |
| Dec 31, 2022 | 802.01 Mn |
| Sep 30, 2022 | 785.88 Mn |
| Jun 30, 2022 | 783.57 Mn |
| Mar 31, 2022 | 775.66 Mn |
| Dec 31, 2021 | 772.09 Mn |
| Sep 30, 2021 | 745.93 Mn |
API Access
Getty Realty Land & 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=land-and-improvements&ticker=GTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-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=land-and-improvements&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();