Getty Realty Corp /Md/ (GTY) Income before Taxes (2010 - 2026)
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Analysis
Getty Realty Corp /Md/ (GTY) Income before Taxes (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 25.42 Mn |
| Jun 30, 2026 | 22.63 Mn |
| Mar 31, 2026 | 26.25 Mn |
| Dec 31, 2025 | 28.46 Mn |
| Sep 30, 2025 | 23.30 Mn |
| Jun 30, 2025 | 13.96 Mn |
| Mar 31, 2025 | 14.69 Mn |
| Dec 31, 2024 | 22.23 Mn |
| Sep 30, 2024 | 15.13 Mn |
| Jun 30, 2024 | 16.53 Mn |
| Mar 31, 2024 | 16.61 Mn |
| Dec 31, 2023 | 16.32 Mn |
| Sep 30, 2023 | 15.94 Mn |
| Jun 30, 2023 | 13.52 Mn |
| Mar 31, 2023 | 13.84 Mn |
| Dec 31, 2022 | 27.27 Mn |
| Sep 30, 2022 | 13.27 Mn |
| Jun 30, 2022 | 30.43 Mn |
| Mar 31, 2022 | 18.66 Mn |
| Dec 31, 2021 | 17.38 Mn |
API Access
Getty Realty Corp /Md/ Income before Taxes 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=income-before-taxes&ticker=GTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-before-taxes", "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=income-before-taxes&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();