Getty Realty (GTY) Short-Term Debt repayments (2010 - 2026)
Getty Realty's Short-Term Debt repayments came in at $71 million for Q2 2026, up 23.5% from $57.5 million a year earlier but down 75.2% from the prior quarter.
Getty Realty (GTY) Short-Term Debt repayments (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Getty Realty reported Short-Term Debt repayments of $523 million, up 41.0% year-over-year; for FY2025, it came in at $448.5 million, up 174.3% from FY2024.
- Short-Term Debt repayments carries a five-year compound annual growth rate of 27.1% (FY2020 to FY2025).
- Going back by year, Short-Term Debt repayments was $163.5 million in FY2024 (-43.7%), $290.5 million in FY2023 (+263.1%), $80 million in FY2022 (-42.9%) and $140 million in FY2021 (+3.7%).
- The five-year range for quarterly Short-Term Debt repayments is $5 million (Q3 2022) to $286 million (Q1 2026).
- Year-over-year, Short-Term Debt repayments has increased for five consecutive quarters, with growth averaging 37.1% over the last seven quarters.
- The fastest year-over-year change in Short-Term Debt repayments over five years came in Q4 2025 (growth of 269.2%), and the weakest in Q1 2024 (a decline of 77.8%).
- Business Quant data shows GTY's Short-Term Debt repayments at $286 million (Q1 2026), $96 million (Q4 2025) and $70 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | - |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | - |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | - |
| 6 | Ventas | 43.61 Bn | 42.81 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 | 150.00 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | - |
| 10 | Getty Realty | 1.75 Bn | 1.75 Bn | - | 71.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 71.00 Mn |
| Mar 31, 2026 | 286.00 Mn |
| Dec 31, 2025 | 96.00 Mn |
| Sep 30, 2025 | 70.00 Mn |
| Jun 30, 2025 | 57.50 Mn |
| Mar 31, 2025 | 225.00 Mn |
| Dec 31, 2024 | 26.00 Mn |
| Sep 30, 2024 | 62.50 Mn |
| Jun 30, 2024 | 55.00 Mn |
| Mar 31, 2024 | 20.00 Mn |
| Dec 31, 2023 | 115.00 Mn |
| Sep 30, 2023 | 62.00 Mn |
| Jun 30, 2023 | 23.50 Mn |
| Mar 31, 2023 | 90.00 Mn |
| Sep 30, 2022 | 5.00 Mn |
| Mar 31, 2022 | 75.00 Mn |
| Dec 31, 2021 | 87.50 Mn |
| Sep 30, 2021 | 15.00 Mn |
| Jun 30, 2021 | 12.50 Mn |
| Mar 31, 2021 | 25.00 Mn |
Getty Realty Short-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=short-term-debt-repayments&ticker=GTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-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=short-term-debt-repayments&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();