Asbury Automotive (ABG) Depreciation & Amortization (CF) (2010 - 2026)
Asbury Automotive's Depreciation & Amortization (CF) came in at $23 million for Q2 2026, up 21.1% from $19 million a year earlier and up 1.8% from the prior quarter.
Asbury Automotive (ABG) Depreciation & Amortization (CF) (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Asbury Automotive reported Depreciation & Amortization (CF) of $89.8 million, up 17.7% year-over-year; for FY2025, it was $82.4 million, up 9.9% from FY2024.
- Depreciation & Amortization (CF) carries a five-year compound annual growth rate of 16.4% (FY2020 to FY2025).
- Going back by year, Depreciation & Amortization (CF) was $75 million in FY2024 (+10.8%), $67.7 million in FY2023 (-1.9%), $69 million in FY2022 (+64.7%) and $41.9 million in FY2021 (+8.8%).
- Year-over-year, Depreciation & Amortization (CF) has increased for 11 consecutive quarters, with growth averaging 12.6% over the last eight quarters.
- The fastest year-over-year change in Depreciation & Amortization (CF) over five years came in Q1 2022 (growth of 87.8%), and the weakest in Q1 2023 (a decline of 9.2%).
- Business Quant data shows ABG's Depreciation & Amortization (CF) at $22.6 million (Q1 2026), $23 million (Q4 2025) and $21.2 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,691.65 Bn | 2,208.35 Bn | 104.83 Bn | 19.99 Bn |
| 2 | Home Depot | 325.36 Bn | 318.60 Bn | 16.12 Bn | 929.00 Mn |
| 3 | Tjx Companies | 162.54 Bn | 140.09 Bn | 5.07 Bn | 340.00 Mn |
| 4 | Lowes Companies | 114.04 Bn | 107.00 Bn | 8.58 Bn | 648.00 Mn |
| 5 | O Reilly Automotive | 75.74 Bn | 74.83 Bn | 2.52 Bn | 138.28 Mn |
| 6 | Ross Stores | 75.07 Bn | 57.99 Bn | 2.12 Bn | 140.19 Mn |
| 7 | Target | 71.70 Bn | 66.28 Bn | 8.94 Bn | 784.00 Mn |
| 8 | Autozone | 53.85 Bn | 52.75 Bn | 2.52 Bn | 160.29 Mn |
| 9 | Carvana | 42.25 Bn | 32.75 Bn | 1.38 Bn | 69.00 Mn |
| 10 | Asbury Automotive | 3.16 Bn | 3.03 Bn | 753.10 Mn | 23.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.00 Mn |
| Mar 31, 2026 | 22.60 Mn |
| Dec 31, 2025 | 23.00 Mn |
| Sep 30, 2025 | 21.20 Mn |
| Jun 30, 2025 | 19.00 Mn |
| Mar 31, 2025 | 19.20 Mn |
| Dec 31, 2024 | 19.20 Mn |
| Sep 30, 2024 | 18.90 Mn |
| Jun 30, 2024 | 18.20 Mn |
| Mar 31, 2024 | 18.70 Mn |
| Dec 31, 2023 | 17.10 Mn |
| Sep 30, 2023 | 17.10 Mn |
| Jun 30, 2023 | 16.80 Mn |
| Mar 31, 2023 | 16.70 Mn |
| Dec 31, 2022 | 15.40 Mn |
| Sep 30, 2022 | 17.10 Mn |
| Jun 30, 2022 | 18.10 Mn |
| Mar 31, 2022 | 18.40 Mn |
| Dec 31, 2021 | 11.30 Mn |
| Sep 30, 2021 | 10.70 Mn |
Asbury Automotive 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=ABG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "ABG", "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=ABG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();