Getty Realty (GTY) Revenue (2010 - 2026)
Getty Realty (GTY) reported Revenue of $59.05 million for Q2 2026, up 10.9% from $53.26 million a year earlier and up 2.1% from the prior quarter.
Getty Realty (GTY) Revenue (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Getty Realty's Revenue came in at $233.04 million, up 10.9% year-over-year; for FY2025, it came in at $221.73 million, up 9.0% from FY2024.
- Revenue has increased for 11 consecutive years, with a five-year compound annual growth rate of 8.5% (FY2020 to FY2025).
- By year, Revenue came in at $203.39 million in FY2024 (+9.4%), $185.85 million in FY2023 (+12.2%), $165.59 million in FY2022 (+6.6%) and $155.41 million in FY2021 (+5.5%).
- Five-year quarterly Revenue spans a low of $39.32 million in Q1 2022 and a high of $60.55 million in Q4 2025.
- Year over year, Revenue has now increased in each of the last 38 quarters, with growth averaging 8.8% over the last eight quarters.
- Across the past five years, year-over-year growth in Revenue ran from 1.9% in Q3 2024 to 20.3% in Q3 2023.
- Per Business Quant data, the three quarters before Q2 2026 came in at $57.84 million (Q1 2026), $60.55 million (Q4 2025) and $55.59 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn | 3.54 Bn |
| 2 | Prologis | 123.74 Bn | 128.13 Bn | - | 2.43 Bn |
| 3 | Simon Property | 66.68 Bn | 67.94 Bn | - | 1.79 Bn |
| 4 | Realty Income | 52.20 Bn | 54.59 Bn | - | 1.55 Bn |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - | 1.23 Bn |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - | 1.73 Bn |
| 7 | Extra Space Storage | 28.21 Bn | 28.21 Bn | 642.43 Mn | 874.15 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 1.06 Bn |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - | - |
| 10 | Getty Realty | 1.77 Bn | 1.77 Bn | - | 59.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.05 Mn |
| Mar 31, 2026 | 57.84 Mn |
| Dec 31, 2025 | 60.55 Mn |
| Sep 30, 2025 | 55.59 Mn |
| Jun 30, 2025 | 53.26 Mn |
| Mar 31, 2025 | 52.33 Mn |
| Dec 31, 2024 | 53.02 Mn |
| Sep 30, 2024 | 51.47 Mn |
| Jun 30, 2024 | 49.94 Mn |
| Mar 31, 2024 | 48.97 Mn |
| Dec 31, 2023 | 47.64 Mn |
| Sep 30, 2023 | 50.49 Mn |
| Jun 30, 2023 | 44.70 Mn |
| Mar 31, 2023 | 43.02 Mn |
| Dec 31, 2022 | 43.12 Mn |
| Sep 30, 2022 | 41.97 Mn |
| Jun 30, 2022 | 41.18 Mn |
| Mar 31, 2022 | 39.32 Mn |
| Dec 31, 2021 | 39.35 Mn |
| Sep 30, 2021 | 40.10 Mn |
Getty Realty 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=revenue&ticker=GTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=revenue&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();