Getty Realty (GTY) EBITDA (2010 - 2026)
Getty Realty's EBITDA was $51.66 million in Q2 2026, up 29.9% from $39.78 million a year earlier but down 5.3% from the prior quarter.
Powered by 
Analysis
Getty Realty (GTY) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Getty Realty's EBITDA was $212.67 million through Jun 30, 2026, up 25.8% year-over-year; for FY2025, it came in at $188.72 million, up 14.5% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 12.3% (FY2020 to FY2025).
- In earlier years, EBITDA was $164.75 million in FY2024 (+20.7%), $136.44 million in FY2023 (-13.2%), $157.19 million in FY2022 (+28.9%) and $121.98 million in FY2021 (+15.3%).
- Quarterly EBITDA has moved between $28.93 million (Q3 2021) and $56.68 million (Q4 2025) over five years.
- Compared with a year earlier, EBITDA has increased for ten straight quarters, with growth averaging 19.0% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was Q2 2022 (growth of 72.0%); the worst was Q2 2023 (a decline of 33.4%).
- Per Business Quant data, GTY's EBITDA in the three quarters before Q2 2026 was $54.54 million (Q1 2026), $56.68 million (Q4 2025) and $49.79 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | -1.08 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 1.94 Bn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 1.35 Bn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 1.35 Bn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 754.44 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 629.80 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 577.79 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 736.50 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 449.31 Mn |
| 10 | Getty Realty | 1.75 Bn | 1.75 Bn | - | 51.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.66 Mn |
| Mar 31, 2026 | 54.54 Mn |
| Dec 31, 2025 | 56.68 Mn |
| Sep 30, 2025 | 49.79 Mn |
| Jun 30, 2025 | 39.78 Mn |
| Mar 31, 2025 | 42.47 Mn |
| Dec 31, 2024 | 47.66 Mn |
| Sep 30, 2024 | 39.14 Mn |
| Jun 30, 2024 | 39.57 Mn |
| Mar 31, 2024 | 38.39 Mn |
| Dec 31, 2023 | 37.86 Mn |
| Sep 30, 2023 | 35.32 Mn |
| Jun 30, 2023 | 31.49 Mn |
| Mar 31, 2023 | 31.78 Mn |
| Dec 31, 2022 | 44.97 Mn |
| Sep 30, 2022 | 30.14 Mn |
| Jun 30, 2022 | 47.26 Mn |
| Mar 31, 2022 | 34.82 Mn |
| Dec 31, 2021 | 33.13 Mn |
| Sep 30, 2021 | 28.93 Mn |
API Access
Getty Realty EBITDA 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=ebitda&ticker=GTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();