Getty Realty (GTY) Operating Income (2010 - 2026)
Getty Realty's Operating Income came in at $38.86 million for Q3 2026, up 11.8% from $34.75 million a year earlier and up 11.4% from the prior quarter.
Getty Realty (GTY) Operating Income (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Getty Realty reported Operating Income of $152.77 million, up 28.7% year-over-year; for FY2025, it was $126.79 million, up 15.5% from FY2024.
- Operating Income carries a five-year compound annual growth rate of 10.9% (FY2020 to FY2025).
- Going back by year, Operating Income was $109.77 million in FY2024 (+20.4%), $91.15 million in FY2023 (-22.3%), $117.29 million in FY2022 (+35.7%) and $86.46 million in FY2021 (+14.4%).
- The five-year range for quarterly Operating Income is $20.18 million (Q3 2022) to $40.75 million (Q4 2025).
- Year-over-year, Operating Income has increased for five consecutive quarters, with growth averaging 23.4% over the last eight quarters.
- The fastest year-over-year change in Operating Income over five years came in Q2 2022 (growth of 98.2%), and the weakest in Q2 2023 (a decline of 44.8%).
- Business Quant data shows GTY's Operating Income at $34.9 million (Q2 2026), $38.26 million (Q1 2026) and $40.75 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 171.10 Bn | 153.62 Bn | 1.39 Bn | -1.83 Bn |
| 2 | Prologis | 117.94 Bn | 117.38 Bn | - | 1.25 Bn |
| 3 | Simon Property | 72.61 Bn | 69.67 Bn | - | 762.16 Mn |
| 4 | Public Storage | 54.41 Bn | 53.50 Bn | - | 466.68 Mn |
| 5 | Realty Income | 53.83 Bn | 54.44 Bn | - | - |
| 6 | Ventas | 44.52 Bn | 43.72 Bn | - | - |
| 7 | Extra Space Storage | 30.30 Bn | 30.09 Bn | 642.43 Mn | 392.18 Mn |
| 8 | Vici Properties | 26.15 Bn | 24.27 Bn | 1.05 Bn | 735.50 Mn |
| 9 | Vivmark Residential | 23.62 Bn | 23.59 Bn | - | - |
| 10 | Getty Realty | 1.88 Bn | 1.85 Bn | - | 38.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 38.86 Mn |
| Jun 30, 2026 | 34.90 Mn |
| Mar 31, 2026 | 38.26 Mn |
| Dec 31, 2025 | 40.75 Mn |
| Sep 30, 2025 | 34.75 Mn |
| Jun 30, 2025 | 24.87 Mn |
| Mar 31, 2025 | 26.42 Mn |
| Dec 31, 2024 | 32.66 Mn |
| Sep 30, 2024 | 25.18 Mn |
| Jun 30, 2024 | 26.19 Mn |
| Mar 31, 2024 | 25.74 Mn |
| Dec 31, 2023 | 25.15 Mn |
| Sep 30, 2023 | 24.03 Mn |
| Jun 30, 2023 | 20.62 Mn |
| Mar 31, 2023 | 21.35 Mn |
| Dec 31, 2022 | 34.58 Mn |
| Sep 30, 2022 | 20.18 Mn |
| Jun 30, 2022 | 37.34 Mn |
| Mar 31, 2022 | 25.20 Mn |
| Dec 31, 2021 | 23.59 Mn |
Getty Realty Operating Income 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=operating-income&ticker=GTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();