Getty Realty (GTY) Total Liabilities (2009 - 2026)
Getty Realty's Total Liabilities was $1.29 billion in Q3 2026, up 24.0% from $1.04 billion a year earlier and up 10.7% from the prior quarter.
Powered by 
Analysis
Getty Realty (GTY) Total Liabilities (2009 - 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 Q3 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 20 straight quarters, with growth averaging 13.0% over the last eight quarters.
- The year-over-year growth in Total Liabilities has ranged between 3.0% (Q1 2023) and 24.0% (Q3 2026) over the last five years.
- Per Business Quant data, GTY's Total Liabilities in the three quarters before Q3 2026 was $1.17 billion (Q2 2026), $1.09 billion (Q1 2026) and $1.1 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | 24.08 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - | 43.55 Bn |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - | 33.94 Bn |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn | 13.78 Bn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - | 35.35 Bn |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn | 14.77 Bn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn | 6.23 Bn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - | 19.56 Bn |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | 15.20 Bn |
| 10 | Getty Realty | 1.92 Bn | 1.90 Bn | - | 1.29 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.29 Bn |
| 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 |
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();