Getty Realty Corp /Md/ (GTY) Change in Accrued Expenses (2010 - 2026)
Powered by 
Analysis
Getty Realty Corp /Md/ (GTY) Change in Accrued Expenses (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -4.62 Mn |
| Jun 30, 2026 | 5.74 Mn |
| Mar 31, 2026 | -1.07 Mn |
| Dec 31, 2025 | 3.66 Mn |
| Sep 30, 2025 | 166,000.00 |
| Jun 30, 2025 | 6.83 Mn |
| Mar 31, 2025 | -3.10 Mn |
| Dec 31, 2024 | 3.63 Mn |
| Sep 30, 2024 | -598,000.00 |
| Jun 30, 2024 | 321,000.00 |
| Mar 31, 2024 | -2.79 Mn |
| Dec 31, 2023 | 235,000.00 |
| Sep 30, 2023 | 1.06 Mn |
| Jun 30, 2023 | -278,000.00 |
| Mar 31, 2023 | -1.49 Mn |
| Dec 31, 2022 | 541,000.00 |
| Sep 30, 2022 | 573,000.00 |
| Jun 30, 2022 | -136,000.00 |
| Mar 31, 2022 | -3.10 Mn |
| Dec 31, 2021 | 5.17 Mn |
API Access
Getty Realty Corp /Md/ Change in Accrued Expenses 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=change-in-accrued-expenses&ticker=GTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accrued-expenses", "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=change-in-accrued-expenses&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();