Getty Realty (GTY) Rental Revenue (2009 - 2026)
Getty Realty (GTY) recorded Rental Revenue of $62.3 million in Q3 2026, up 12.9% from $55.2 million a year earlier and up 6.3% from the prior quarter.
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Analysis
Getty Realty (GTY) Rental Revenue (2009 - 2026) Analysis & Trends
On a TTM basis, Getty Realty's Rental Revenue came in at $238.3 million as of Sep 30, 2026, up 12.5% year-over-year; for FY2025, it was $219.6 million, up 10.5% from FY2024.
- Annual Rental Revenue has increased for nine straight years, with a five-year compound annual growth rate of 8.7% (FY2020 to FY2025).
- Across earlier years, Rental Revenue came in at $198.7 million in FY2024 (+10.1%), $180.5 million in FY2023 (+10.1%), $163.9 million in FY2022 (+6.5%) and $153.9 million in FY2021 (+6.4%).
- The Q3 2026 figure is the highest quarterly Rental Revenue in data going back to Q2 2012.
- On a year-over-year basis, Rental Revenue has increased for 35 consecutive quarters, with growth averaging 11.4% over the last eight quarters.
- The year-over-year growth in Rental Revenue has ranged between 3.4% (Q3 2024) and 17.6% (Q3 2023) over the last five years.
- Per Business Quant, the preceding three quarters came in at $58.6 million (Q2 2026), $57.4 million (Q1 2026) and $60 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Rental Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | 488.64 Mn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - | 2.21 Bn |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - | 1.68 Bn |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn | - |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - | 1.48 Bn |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn | 362.72 Mn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn | 219.41 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - | 1.19 Bn |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | 760.84 Mn |
| 10 | Getty Realty | 1.92 Bn | 1.90 Bn | - | 62.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 62.30 Mn |
| Jun 30, 2026 | 58.60 Mn |
| Mar 31, 2026 | 57.40 Mn |
| Dec 31, 2025 | 60.00 Mn |
| Sep 30, 2025 | 55.20 Mn |
| Jun 30, 2025 | 52.72 Mn |
| Mar 31, 2025 | 51.71 Mn |
| Dec 31, 2024 | 52.27 Mn |
| Sep 30, 2024 | 50.50 Mn |
| Jun 30, 2024 | 48.72 Mn |
| Mar 31, 2024 | 47.22 Mn |
| Dec 31, 2023 | 45.60 Mn |
| Sep 30, 2023 | 48.85 Mn |
| Jun 30, 2023 | 43.70 Mn |
| Mar 31, 2023 | 42.40 Mn |
| Dec 31, 2022 | 42.57 Mn |
| Sep 30, 2022 | 41.53 Mn |
| Jun 30, 2022 | 40.81 Mn |
| Mar 31, 2022 | 38.98 Mn |
| Dec 31, 2021 | 39.01 Mn |
API Access
Getty Realty Rental Revenue 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=rental-revenue&ticker=GTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rental-revenue", "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=rental-revenue&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();