Getty Realty (GTY) Acquisitions (2016 - 2026)
Getty Realty (GTY) reported Acquisitions of $122.3 million for Q2 2026, up 58.4% from $77.22 million a year earlier and up 329.1% from the prior quarter.
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Analysis
Getty Realty (GTY) Acquisitions (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Getty Realty's Acquisitions came in at $341.32 million, up 50.8% year-over-year; for FY2025, it came in at $277.75 million, down 4.3% from FY2024.
- Acquisitions has a five-year compound annual growth rate of 13.1% (FY2020 to FY2025).
- By year, Acquisitions came in at $290.1 million in FY2024 (+16.9%), $248.07 million in FY2023 (+80.7%), $137.28 million in FY2022 (-29.3%) and $194.29 million in FY2021 (+29.6%).
- Five-year quarterly Acquisitions spans a low of $7.04 million in Q1 2022 and a high of $137.75 million in Q4 2025.
- Year over year, Acquisitions has now increased in each of the last three quarters, with growth averaging 29.0% over the last eight quarters.
- The high point for year-over-year Acquisitions in five years was Q1 2023 (growth of 583.5%); the low point was Q1 2025 (a decline of 88.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $28.5 million (Q1 2026), $137.75 million (Q4 2025) and $52.77 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (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 | - | 16.22 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 1.90 Bn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 222.45 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 1.48 Bn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 158.83 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | - |
| 10 | Getty Realty | 1.75 Bn | 1.75 Bn | - | 122.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 122.30 Mn |
| Mar 31, 2026 | 28.50 Mn |
| Dec 31, 2025 | 137.75 Mn |
| Sep 30, 2025 | 52.77 Mn |
| Jun 30, 2025 | 77.22 Mn |
| Mar 31, 2025 | 10.01 Mn |
| Dec 31, 2024 | 85.60 Mn |
| Sep 30, 2024 | 53.56 Mn |
| Jun 30, 2024 | 65.61 Mn |
| Mar 31, 2024 | 85.33 Mn |
| Dec 31, 2023 | 55.07 Mn |
| Sep 30, 2023 | 119.70 Mn |
| Jun 30, 2023 | 25.20 Mn |
| Mar 31, 2023 | 48.10 Mn |
| Dec 31, 2022 | 73.99 Mn |
| Sep 30, 2022 | 9.09 Mn |
| Jun 30, 2022 | 47.16 Mn |
| Mar 31, 2022 | 7.04 Mn |
| Dec 31, 2021 | 67.65 Mn |
| Sep 30, 2021 | 63.34 Mn |
API Access
Getty Realty Acquisitions 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=acquisitions&ticker=GTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();