Getty Realty (GTY) Depreciation and Amortization (2009 - 2026)
Getty Realty's Depreciation and Amortization was $18.32 million in Q3 2026, up 21.8% from $15.04 million a year earlier and up 9.3% from the prior quarter.
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Analysis
Getty Realty (GTY) Depreciation and Amortization (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Getty Realty's Depreciation and Amortization was $67.29 million through Sep 30, 2026, up 10.3% year-over-year; for FY2025, it came in at $61.93 million, up 12.6% from FY2024.
- Depreciation and Amortization has now increased for eight consecutive years, with a five-year compound annual growth rate of 15.5% (FY2020 to FY2025).
- In earlier years, Depreciation and Amortization was $54.98 million in FY2024 (+21.4%), $45.3 million in FY2023 (+13.5%), $39.9 million in FY2022 (+12.3%) and $35.52 million in FY2021 (+17.6%).
- The Q3 2026 figure marks the highest quarterly Depreciation and Amortization in data going back to Q2 2010.
- Compared with a year earlier, Depreciation and Amortization has increased for 36 straight quarters, with growth averaging 13.2% over the last eight quarters.
- The year-over-year growth in Depreciation and Amortization has ranged between 1.4% (Q1 2026) and 26.8% (Q1 2025) over the last five years.
- Per Business Quant data, GTY's Depreciation and Amortization in the three quarters before Q3 2026 was $16.76 million (Q2 2026), $16.27 million (Q1 2026) and $15.94 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | D&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | 706.79 Mn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - | 710.30 Mn |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - | 510.77 Mn |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn | 412.61 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - | 647.56 Mn |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn | 446.01 Mn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn | 83.16 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - | 897.98 Mn |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | 189.60 Mn |
| 10 | Getty Realty | 1.92 Bn | 1.90 Bn | - | 18.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 18.32 Mn |
| Jun 30, 2026 | 16.76 Mn |
| Mar 31, 2026 | 16.27 Mn |
| Dec 31, 2025 | 15.94 Mn |
| Sep 30, 2025 | 15.04 Mn |
| Jun 30, 2025 | 14.92 Mn |
| Mar 31, 2025 | 16.04 Mn |
| Dec 31, 2024 | 15.00 Mn |
| Sep 30, 2024 | 13.96 Mn |
| Jun 30, 2024 | 13.37 Mn |
| Mar 31, 2024 | 12.65 Mn |
| Dec 31, 2023 | 12.72 Mn |
| Sep 30, 2023 | 11.29 Mn |
| Jun 30, 2023 | 10.86 Mn |
| Mar 31, 2023 | 10.43 Mn |
| Dec 31, 2022 | 10.39 Mn |
| Sep 30, 2022 | 9.96 Mn |
| Jun 30, 2022 | 9.92 Mn |
| Mar 31, 2022 | 9.63 Mn |
| Dec 31, 2021 | 9.54 Mn |
API Access
Getty Realty Depreciation and Amortization 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=depreciation-and-amortization&ticker=GTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization", "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=depreciation-and-amortization&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();