Getty Realty (GTY) Total Liabilities (2010 - 2026)
Getty Realty's Total Liabilities was $1.17 billion in Q2 2026, up 13.2% from $1.03 billion a year earlier and up 7.2% from the prior quarter.
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Analysis
Getty Realty (GTY) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Getty Realty came in at $1.1 billion, up 8.9% from FY2024.
- Total Liabilities has now increased for nine consecutive years, with a five-year compound annual growth rate of 9.8% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $1.01 billion in FY2024 (+16.7%), $866.75 million in FY2023 (+8.0%), $802.45 million in FY2022 (+11.2%) and $721.84 million in FY2021 (+4.6%).
- The Q2 2026 figure marks the highest quarterly Total Liabilities in data going back to Q4 2010.
- Compared with a year earlier, Total Liabilities has increased for 19 straight quarters, with growth averaging 11.2% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q2 2024 (growth of 21.1%); the worst was Q3 2021 (a decline of 0.8%).
- Per Business Quant data, GTY's Total Liabilities in the three quarters before Q2 2026 was $1.09 billion (Q1 2026), $1.1 billion (Q4 2025) and $1.04 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 22.44 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 42.89 Bn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 34.13 Bn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 34.51 Bn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 10.83 Bn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 14.95 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 | 18.67 Bn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 9.58 Bn |
| 10 | Getty Realty | 1.75 Bn | 1.75 Bn | - | 1.17 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.17 Bn |
| Mar 31, 2026 | 1.09 Bn |
| Dec 31, 2025 | 1.10 Bn |
| Sep 30, 2025 | 1.04 Bn |
| Jun 30, 2025 | 1.03 Bn |
| Mar 31, 2025 | 1.01 Bn |
| Dec 31, 2024 | 1.01 Bn |
| Sep 30, 2024 | 938.47 Mn |
| Jun 30, 2024 | 940.84 Mn |
| Mar 31, 2024 | 899.40 Mn |
| Dec 31, 2023 | 866.75 Mn |
| Sep 30, 2023 | 852.80 Mn |
| Jun 30, 2023 | 777.07 Mn |
| Mar 31, 2023 | 778.92 Mn |
| Dec 31, 2022 | 802.45 Mn |
| Sep 30, 2022 | 737.34 Mn |
| Jun 30, 2022 | 738.61 Mn |
| Mar 31, 2022 | 756.42 Mn |
| Dec 31, 2021 | 721.84 Mn |
| Sep 30, 2021 | 699.98 Mn |
API Access
Getty Realty Total Liabilities 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=total-liabilities&ticker=GTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();