Getty Realty (GTY) EBITDA (2009 - 2026)
Getty Realty's EBITDA was $57.59 million in Q3 2026, up 14.8% from $50.15 million a year earlier and up 10.6% from the prior quarter.
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Analysis
Getty Realty (GTY) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Getty Realty's EBITDA was $221.62 million through Sep 30, 2026, up 21.5% year-over-year; for FY2025, it came in at $191.21 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 $167.01 million in FY2024 (+21.3%), $137.65 million in FY2023 (-13.0%), $158.14 million in FY2022 (+28.6%) and $122.99 million in FY2021 (+15.1%).
- The Q3 2026 figure marks the highest quarterly EBITDA in data going back to Q2 2010.
- Compared with a year earlier, EBITDA has increased for five straight quarters, with growth averaging 19.1% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was Q2 2022 (growth of 71.2%); the worst was Q2 2023 (a decline of 33.2%).
- Per Business Quant data, GTY's EBITDA in the three quarters before Q3 2026 was $52.07 million (Q2 2026), $54.93 million (Q1 2026) and $57.04 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | 1.24 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - | 1.60 Bn |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - | 1.32 Bn |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn | 732.77 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - | 1.44 Bn |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn | 1.17 Bn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn | 180.80 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - | 291.91 Mn |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | 591.18 Mn |
| 10 | Getty Realty | 1.92 Bn | 1.90 Bn | - | 57.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 57.59 Mn |
| Jun 30, 2026 | 52.07 Mn |
| Mar 31, 2026 | 54.93 Mn |
| Dec 31, 2025 | 57.04 Mn |
| Sep 30, 2025 | 50.15 Mn |
| Jun 30, 2025 | 40.15 Mn |
| Mar 31, 2025 | 43.87 Mn |
| Dec 31, 2024 | 48.22 Mn |
| Sep 30, 2024 | 39.70 Mn |
| Jun 30, 2024 | 40.13 Mn |
| Mar 31, 2024 | 38.96 Mn |
| Dec 31, 2023 | 44.36 Mn |
| Sep 30, 2023 | 31.56 Mn |
| Jun 30, 2023 | 29.71 Mn |
| Mar 31, 2023 | 32.06 Mn |
| Dec 31, 2022 | 45.21 Mn |
| Sep 30, 2022 | 21.39 Mn |
| Jun 30, 2022 | 47.50 Mn |
| Mar 31, 2022 | 44.05 Mn |
| Dec 31, 2021 | 33.36 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();