Getty Realty (GTY) Net Debt Issuances and Repayments (2009 - 2026)
Getty Realty (GTY) recorded Net Debt Issuances and Repayments of $126.97 million in Q3 2026, up 748.2% from $14.97 million a year earlier and up 74.0% from the prior quarter.
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Analysis
Getty Realty (GTY) Net Debt Issuances and Repayments (2009 - 2026) Analysis & Trends
On a TTM basis, Getty Realty's Net Debt Issuances and Repayments came in at $259.87 million as of Sep 30, 2026, up 154.0% year-over-year; for FY2025, it was $92.34 million, down 37.3% from FY2024.
- Annual Net Debt Issuances and Repayments has a five-year compound annual growth rate of 3.1% (FY2020 to FY2025).
- Across earlier years, Net Debt Issuances and Repayments came in at $147.24 million in FY2024 (+127.7%), $64.66 million in FY2023 (-41.0%), $109.51 million in FY2022 (+218.8%) and $34.36 million in FY2021 (-56.7%).
- The Q3 2026 figure is the highest quarterly Net Debt Issuances and Repayments since Q2 2015.
- On a year-over-year basis, Net Debt Issuances and Repayments rose in three of the last four quarters, with growth averaging 413.7%.
- Per Business Quant, the preceding three quarters came in at $72.97 million (Q2 2026), -$33,000 (Q1 2026) and $59.97 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | -21.79 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - | -99.12 Mn |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - | -208.85 Mn |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn | 982.48 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - | 60.86 Bn |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn | - |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn | -733,000.00 |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - | -27.20 Bn |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | -246.52 Mn |
| 10 | Getty Realty | 1.92 Bn | 1.90 Bn | - | 126.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 126.97 Mn |
| Jun 30, 2026 | 72.97 Mn |
| Mar 31, 2026 | -33,000.00 |
| Dec 31, 2025 | 59.97 Mn |
| Sep 30, 2025 | 14.97 Mn |
| Jun 30, 2025 | 17.47 Mn |
| Mar 31, 2025 | -62,000.00 |
| Dec 31, 2024 | 69.93 Mn |
| Sep 30, 2024 | -5.07 Mn |
| Jun 30, 2024 | -32.56 Mn |
| Mar 31, 2024 | 39.94 Mn |
| Dec 31, 2023 | 9.95 Mn |
| Sep 30, 2023 | 74.92 Mn |
| Jun 30, 2023 | -85,000.00 |
| Mar 31, 2023 | -20.12 Mn |
| Dec 31, 2022 | 69.87 Mn |
| Sep 30, 2022 | -125,000.00 |
| Jun 30, 2022 | -118,000.00 |
| Mar 31, 2022 | 39.89 Mn |
| Dec 31, 2021 | 17.36 Mn |
API Access
Getty Realty Net Debt Issuances and 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=net-debt-issuances-and-repayments&ticker=GTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-debt-issuances-and-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=net-debt-issuances-and-repayments&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();