Getty Realty (GTY) Long-Term Debt Repayments (2010 - 2026)
Getty Realty's Long-Term Debt Repayments was $34,000 in Q3 2026, up 9.7% from $31,000 a year earlier and unchanged from the prior quarter.
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Analysis
Getty Realty (GTY) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Getty Realty's Long-Term Debt Repayments was $133,000 through Sep 30, 2026, down 99.9% year-over-year; for FY2025, it was $200.16 million.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of 14.7% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $265,000 in FY2024 (-99.6%), $75.34 million in FY2023, $487,000 in FY2022 (-24.5%) and $645,000 in FY2021 (-99.4%).
- Quarterly Long-Term Debt Repayments has moved between $31,000 (Q2 2025) and $200.06 million (Q1 2025) over five years.
- Compared with a year earlier, Long-Term Debt Repayments was higher in three of the last seven quarters, with an average decline of 29.5%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q4 2024 (growth of 37.0%); the worst was Q1 2026 (a decline of 100.0%).
- Per Business Quant data, GTY's Long-Term Debt Repayments in the three quarters before Q3 2026 was $34,000 (Q2 2026), $33,000 (Q1 2026) and $32,000 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | 1.19 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - | 382.44 Mn |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - | 4.87 Bn |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn | 183.83 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - | 61.00 Bn |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn | 133.33 Mn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn | - |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - | 565.55 Mn |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | 6.12 Bn |
| 10 | Getty Realty | 1.92 Bn | 1.90 Bn | - | 34,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 34,000.00 |
| Jun 30, 2026 | 34,000.00 |
| Mar 31, 2026 | 33,000.00 |
| Dec 31, 2025 | 32,000.00 |
| Sep 30, 2025 | 31,000.00 |
| Jun 30, 2025 | 31,000.00 |
| Mar 31, 2025 | 200.06 Mn |
| Dec 31, 2024 | 74,000.00 |
| Sep 30, 2024 | 68,000.00 |
| Jun 30, 2024 | 64,000.00 |
| Mar 31, 2024 | 59,000.00 |
| Dec 31, 2023 | 54,000.00 |
| Sep 30, 2023 | 79,000.00 |
| Jun 30, 2023 | 85,000.00 |
| Mar 31, 2023 | 75.12 Mn |
| Dec 31, 2022 | 132,000.00 |
| Sep 30, 2022 | 125,000.00 |
| Jun 30, 2022 | 118,000.00 |
| Mar 31, 2022 | 112,000.00 |
| Dec 31, 2021 | 138,000.00 |
API Access
Getty Realty Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=GTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();