Getty Realty (GTY) Interest Expense (2009 - 2026)
Getty Realty (GTY) posted Interest Expenses of $13.44 million for Q3 2026, up 17.4% from $11.45 million a year earlier and up 9.6% from the prior quarter.
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Analysis
Getty Realty (GTY) Interest Expense (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Interest Expenses at Getty Realty was $50.01 million, up 12.4% year-over-year; for FY2025, it came in at $46.37 million, up 18.1% from FY2024.
- Annual Interest Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 12.2% (FY2020 to FY2025).
- In prior years, Getty Realty's Interest Expenses was $39.27 million in FY2024 (+24.6%), $31.53 million in FY2023 (+14.0%), $27.66 million in FY2022 (+12.1%) and $24.67 million in FY2021 (-5.4%).
- The Q3 2026 figure stands as the highest quarterly Interest Expenses in data going back to Q2 2010.
- On a year-over-year basis, Interest Expenses has increased in each of the last 20 quarters, with growth averaging 15.4% over the last eight quarters.
- The year-over-year growth in Interest Expenses has ranged between 2.4% (Q1 2026) and 36.0% (Q2 2024) over the last five years.
- According to Business Quant data, Interest Expenses for the three prior quarters was $12.27 million (Q2 2026), $12.01 million (Q1 2026) and $12.29 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Interest Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | - |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - | 286.96 Mn |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - | 287.59 Mn |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn | - |
| 5 | Realty Income | 55.95 Bn | 57.33 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 | 68.28 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - | - |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | - |
| 10 | Getty Realty | 1.92 Bn | 1.90 Bn | - | 13.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 13.44 Mn |
| Jun 30, 2026 | 12.27 Mn |
| Mar 31, 2026 | 12.01 Mn |
| Sep 30, 2025 | 11.45 Mn |
| Jun 30, 2025 | 10.90 Mn |
| Mar 31, 2025 | 11.73 Mn |
| Sep 30, 2024 | 10.05 Mn |
| Jun 30, 2024 | 9.66 Mn |
| Mar 31, 2024 | 9.14 Mn |
| Dec 31, 2023 | 8.83 Mn |
| Sep 30, 2023 | 8.08 Mn |
| Jun 30, 2023 | 7.10 Mn |
| Mar 31, 2023 | 7.51 Mn |
| Dec 31, 2022 | 7.31 Mn |
| Jun 30, 2022 | 6.91 Mn |
| Mar 31, 2022 | 6.54 Mn |
| Dec 31, 2021 | 6.21 Mn |
| Sep 30, 2021 | 6.18 Mn |
| Jun 30, 2021 | 6.16 Mn |
| Mar 31, 2021 | 6.13 Mn |
API Access
Getty Realty Interest Expense 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=interest-expense&ticker=GTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expense", "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=interest-expense&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();