Getty Realty (GTY) Interest Expenses (2010 - 2026)
Getty Realty (GTY) posted Interest Expenses of $12.27 million for Q2 2026, up 12.5% from $10.9 million a year earlier and up 2.1% from the prior quarter.
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Analysis
Getty Realty (GTY) Interest Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Interest Expenses at Getty Realty was $48.02 million, up 11.4% 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%).
- Quarterly Interest Expenses has run from a low of $6.18 million in Q3 2021 to a high of $12.29 million in Q4 2025 over five years.
- On a year-over-year basis, Interest Expenses has increased in each of the last 19 quarters, with growth averaging 16.3% over the last eight quarters.
- The strongest year-over-year quarter for Interest Expenses in the past five years was Q2 2024, with growth of 36.0%; the weakest was Q3 2021, with a decline of 7.8%.
- According to Business Quant data, Interest Expenses for the three prior quarters was $12.01 million (Q1 2026), $12.29 million (Q4 2025) and $11.45 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | - |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 276.31 Mn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 272.33 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 312.08 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 84.78 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 160.03 Mn |
| 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 | 209.93 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 82.46 Mn |
| 10 | Getty Realty | 1.75 Bn | 1.75 Bn | - | 12.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.27 Mn |
| Mar 31, 2026 | 12.01 Mn |
| Dec 31, 2025 | 12.29 Mn |
| Sep 30, 2025 | 11.45 Mn |
| Jun 30, 2025 | 10.90 Mn |
| Mar 31, 2025 | 11.73 Mn |
| Dec 31, 2024 | 10.42 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 |
| Sep 30, 2022 | 6.91 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 |
API Access
Getty Realty Interest Expenses 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-expenses&ticker=GTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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-expenses&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();