Getty Realty (GTY) Short-Term Debt issuances (2013 - 2026)
Getty Realty's Short-Term Debt issuances was $144 million in Q2 2026, up 92.0% from $75 million a year earlier and up 300.0% from the prior quarter.
Getty Realty (GTY) Short-Term Debt issuances (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Getty Realty's Short-Term Debt issuances was $421 million through Jun 30, 2026, down 20.3% year-over-year; for FY2025, it came in at $616 million, up 161.0% from FY2024.
- Short-Term Debt issuances has now increased for three consecutive years, with a five-year compound annual growth rate of 34.5% (FY2020 to FY2025).
- In earlier years, Short-Term Debt issuances was $236 million in FY2024 (+2.4%), $230.5 million in FY2023 (+156.1%), $90 million in FY2022 (-48.6%) and $175 million in FY2021 (+25.0%).
- Quarterly Short-Term Debt issuances has moved between $5 million (Q3 2022) and $300 million (Q1 2025) over five years.
- Compared with a year earlier, Short-Term Debt issuances was higher in six of the last eight quarters, with growth averaging 97.7%.
- The best year-over-year quarter for Short-Term Debt issuances over five years was Q1 2025 (growth of 400.0%); the worst was Q1 2026 (a decline of 88.0%).
- Per Business Quant data, GTY's Short-Term Debt issuances in the three quarters before Q2 2026 was $36 million (Q1 2026), $156 million (Q4 2025) and $85 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Issuance (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 | 280.19 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | - |
| 10 | Getty Realty | 1.75 Bn | 1.75 Bn | - | 144.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 144.00 Mn |
| Mar 31, 2026 | 36.00 Mn |
| Dec 31, 2025 | 156.00 Mn |
| Sep 30, 2025 | 85.00 Mn |
| Jun 30, 2025 | 75.00 Mn |
| Mar 31, 2025 | 300.00 Mn |
| Dec 31, 2024 | 96.00 Mn |
| Sep 30, 2024 | 57.50 Mn |
| Jun 30, 2024 | 22.50 Mn |
| Mar 31, 2024 | 60.00 Mn |
| Dec 31, 2023 | 50.00 Mn |
| Sep 30, 2023 | 137.00 Mn |
| Jun 30, 2023 | 23.50 Mn |
| Mar 31, 2023 | 20.00 Mn |
| Dec 31, 2022 | 70.00 Mn |
| Sep 30, 2022 | 5.00 Mn |
| Mar 31, 2022 | 15.00 Mn |
| Dec 31, 2021 | 105.00 Mn |
| Sep 30, 2021 | 40.00 Mn |
| Dec 31, 2020 | 25.00 Mn |
Getty Realty Short-Term Debt issuances 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-issuances&ticker=GTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-issuances", "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-issuances&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();