Getty Realty (GTY) Depreciation & Amortization (CF) (2010 - 2026)
Getty Realty's Depreciation & Amortization (CF) came in at $16.76 million for Q2 2026, up 12.4% from $14.92 million a year earlier and up 3.0% from the prior quarter.
Getty Realty (GTY) Depreciation & Amortization (CF) (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Getty Realty reported Depreciation & Amortization (CF) of $64.01 million, up 6.8% year-over-year; for FY2025, it came in at $61.93 million, up 12.6% from FY2024.
- Depreciation & Amortization (CF) has increased in each of the last eight years, with a five-year compound annual growth rate of 15.5% (FY2020 to FY2025).
- Going back by year, Depreciation & Amortization (CF) 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 Q2 2026 figure represents the highest quarterly Depreciation & Amortization (CF) in data going back to Q3 2010.
- Year-over-year, Depreciation & Amortization (CF) has increased for 35 consecutive quarters, with growth averaging 13.5% over the last eight quarters.
- The year-over-year growth in Depreciation & Amortization (CF) has ranged between 1.4% (Q1 2026) and 26.8% (Q1 2025) over the last five years.
- Business Quant data shows GTY's Depreciation & Amortization (CF) at $16.27 million (Q1 2026), $15.94 million (Q4 2025) and $15.04 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 737.76 Mn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 689.52 Mn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 456.32 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 644.68 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 287.76 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 407.71 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 185.61 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 998,000.00 |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 246.38 Mn |
| 10 | Getty Realty | 1.75 Bn | 1.75 Bn | - | 16.76 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 8.90 Mn |
Getty Realty Depreciation & Amortization (CF) 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-cf&ticker=GTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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-cf&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();