Getty Realty Corp /Md/ (GTY) Depreciation and Amortization (2010 - 2026)
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Analysis
Getty Realty Corp /Md/ (GTY) Depreciation and Amortization (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.76 Mn |
| Mar 31, 2026 | 16.27 Mn |
| Dec 31, 2025 | 15.94 Mn |
| Sep 30, 2025 | 15.04 Mn |
| Jun 30, 2025 | 14.92 Mn |
| Mar 31, 2025 | 16.04 Mn |
| Dec 31, 2024 | 15.00 Mn |
| Sep 30, 2024 | 13.96 Mn |
| Jun 30, 2024 | 13.37 Mn |
| Mar 31, 2024 | 12.65 Mn |
| Dec 31, 2023 | 12.72 Mn |
| Sep 30, 2023 | 11.29 Mn |
| Jun 30, 2023 | 10.86 Mn |
| Mar 31, 2023 | 10.43 Mn |
| Dec 31, 2022 | 10.39 Mn |
| Sep 30, 2022 | 9.96 Mn |
| Jun 30, 2022 | 9.92 Mn |
| Mar 31, 2022 | 9.63 Mn |
| Dec 31, 2021 | 9.54 Mn |
| Sep 30, 2021 | 8.90 Mn |
API Access
Getty Realty Corp /Md/ Depreciation and Amortization 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=depreciation-and-amortization&ticker=GTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization", "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=depreciation-and-amortization&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();