Getty Realty Corp /Md/ (GTY) Other Operating Expenses (2010 - 2026)
Getty Realty (GTY) recorded Other Operating Expenses of $337,000 in Q2 2026, down 93.7% from $5.34 million a year earlier.
Getty Realty Corp /Md/ (GTY) Other Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Getty Realty's Other Operating Expenses came in at -$10.72 million as of Jun 30, 2026; for FY2025, it came in at $1.95 million, up 233.3% from FY2024.
- Annual Other Operating Expenses has a five-year compound annual growth rate of 13.1% (FY2020 to FY2025).
- Across earlier years, Other Operating Expenses came in at $585,000 in FY2024 (-53.6%), $1.26 million in FY2023, -$20.9 million in FY2022 and $3.55 million in FY2021 (+236.6%).
- Quarterly Other Operating Expenses has ranged from -$15.91 million in Q2 2022 to $5.34 million in Q2 2025 over the past five years.
- Per Business Quant, the preceding three quarters came in at -$7.55 million (Q1 2026), -$151,000 (Q4 2025) and -$3.36 million (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -20.92 Mn |
| Jun 30, 2026 | -21.24 Mn |
| Mar 31, 2026 | -19.80 Mn |
| Dec 31, 2025 | -18.37 Mn |
| Sep 30, 2025 | -18.09 Mn |
| Jun 30, 2025 | -17.82 Mn |
| Mar 31, 2025 | -19.19 Mn |
| Dec 31, 2024 | -19.71 Mn |
| Sep 30, 2024 | -18.59 Mn |
| Jun 30, 2024 | -17.87 Mn |
| Mar 31, 2024 | -17.66 Mn |
| Dec 31, 2023 | -19.53 Mn |
| Sep 30, 2023 | -21.00 Mn |
| Jun 30, 2023 | -18.18 Mn |
| Mar 31, 2023 | -15.65 Mn |
| Dec 31, 2022 | -17.59 Mn |
| Sep 30, 2022 | -16.48 Mn |
| Jun 30, 2022 | -15.64 Mn |
| Mar 31, 2022 | -15.29 Mn |
| Dec 31, 2021 | -15.88 Mn |
Getty Realty Corp /Md/ Other Operating 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=other-operating-expenses&ticker=GTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();