Getty Realty (GTY) Accumulated Depreciation (2010 - 2026)
Getty Realty (GTY) posted Accumulated Depreciation of $428.59 million for Q2 2026, up 13.0% from $379.28 million a year earlier and up 3.0% from the prior quarter.
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Analysis
Getty Realty (GTY) Accumulated Depreciation (2010 - 2026) Analysis & Trends
At the end of FY2025, Getty Realty's Accumulated Depreciation came in at $405.91 million, up 15.8% from FY2024.
- Annual Accumulated Depreciation has increased for 12 consecutive years, with a five-year compound annual growth rate of 16.8% (FY2020 to FY2025).
- In prior years, Getty Realty's Accumulated Depreciation was $350.63 million in FY2024 (+30.4%), $268.92 million in FY2023 (+15.0%), $233.87 million in FY2022 (+11.0%) and $210.62 million in FY2021 (+12.6%).
- The Q2 2026 figure stands as the highest quarterly Accumulated Depreciation in data going back to Q4 2010.
- On a year-over-year basis, Accumulated Depreciation has increased in each of the last 23 quarters, with growth averaging 23.0% over the last eight quarters.
- Across the past five years, year-over-year growth in Accumulated Depreciation ran from 10.7% in Q3 2022 to 32.5% in Q3 2025.
- According to Business Quant data, Accumulated Depreciation for the three prior quarters was $416.27 million (Q1 2026), $405.91 million (Q4 2025) and $389.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - |
| 10 | Getty Realty | 1.75 Bn | 1.75 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 428.59 Mn |
| Mar 31, 2026 | 416.27 Mn |
| Dec 31, 2025 | 405.91 Mn |
| Sep 30, 2025 | 389.90 Mn |
| Jun 30, 2025 | 379.28 Mn |
| Mar 31, 2025 | 364.21 Mn |
| Dec 31, 2024 | 350.63 Mn |
| Sep 30, 2024 | 294.27 Mn |
| Jun 30, 2024 | 286.42 Mn |
| Mar 31, 2024 | 275.61 Mn |
| Dec 31, 2023 | 268.92 Mn |
| Sep 30, 2023 | 259.21 Mn |
| Jun 30, 2023 | 250.69 Mn |
| Mar 31, 2023 | 241.69 Mn |
| Dec 31, 2022 | 233.87 Mn |
| Sep 30, 2022 | 230.23 Mn |
| Jun 30, 2022 | 222.18 Mn |
| Mar 31, 2022 | 215.46 Mn |
| Dec 31, 2021 | 210.62 Mn |
| Sep 30, 2021 | 207.93 Mn |
API Access
Getty Realty Accumulated Depreciation 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=accumulated-depreciation&ticker=GTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-depreciation", "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=accumulated-depreciation&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();