Getty Realty (GTY) Payables (2010 - 2026)
Getty Realty (GTY) posted Payables of $80.55 million for Q2 2026, up 5.9% from $76.03 million a year earlier and up 8.2% from the prior quarter.
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Analysis
Getty Realty (GTY) Payables (2010 - 2026) Analysis & Trends
At the end of FY2025, Getty Realty's Payables came in at $75.49 million, up 5.2% from FY2024.
- Annual Payables has increased for three consecutive years, with a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- In prior years, Getty Realty's Payables was $71.75 million in FY2024 (+0.2%), $71.64 million in FY2023 (+11.4%), $64.32 million in FY2022 (-1.7%) and $65.41 million in FY2021 (+1.5%).
- The Q2 2026 figure stands as the highest quarterly Payables since Q4 2015.
- On a year-over-year basis, Payables has increased in each of the last 14 quarters, with growth averaging 7.4% over the last eight quarters.
- The strongest year-over-year quarter for Payables in the past five years was Q2 2025, with growth of 16.5%; the weakest was Q3 2021, with a decline of 20.8%.
- According to Business Quant data, Payables for the three prior quarters was $74.48 million (Q1 2026), $75.49 million (Q4 2025) and $76.48 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | - |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 2.53 Bn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 1.96 Bn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 2.78 Bn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | - |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 1.35 Bn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 500.76 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 1.89 Bn |
| 10 | Getty Realty | 1.75 Bn | 1.75 Bn | - | 80.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 80.55 Mn |
| Mar 31, 2026 | 74.48 Mn |
| Dec 31, 2025 | 75.49 Mn |
| Sep 30, 2025 | 76.48 Mn |
| Jun 30, 2025 | 76.03 Mn |
| Mar 31, 2025 | 68.81 Mn |
| Dec 31, 2024 | 71.75 Mn |
| Sep 30, 2024 | 68.36 Mn |
| Jun 30, 2024 | 65.27 Mn |
| Mar 31, 2024 | 65.30 Mn |
| Dec 31, 2023 | 71.64 Mn |
| Sep 30, 2023 | 64.43 Mn |
| Jun 30, 2023 | 62.84 Mn |
| Mar 31, 2023 | 62.22 Mn |
| Dec 31, 2022 | 64.32 Mn |
| Sep 30, 2022 | 62.38 Mn |
| Jun 30, 2022 | 62.30 Mn |
| Mar 31, 2022 | 61.94 Mn |
| Dec 31, 2021 | 65.41 Mn |
| Sep 30, 2021 | 60.16 Mn |
API Access
Getty Realty Payables 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=payables&ticker=GTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();