Asbury Automotive (ABG) Tax Provisions (2010 - 2026)
Asbury Automotive's Tax Provisions was $36.7 million in Q2 2026, down 28.0% from $51 million a year earlier and down 41.6% from the prior quarter.
Powered by 
Analysis
Asbury Automotive (ABG) Tax Provisions (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Asbury Automotive's Tax Provisions was $175.3 million through Jun 30, 2026, down 2.9% year-over-year; for FY2025, it was $170.2 million, up 17.4% from FY2024.
- Tax Provisions shows a five-year compound annual growth rate of 15.2% (FY2020 to FY2025).
- In earlier years, Tax Provisions was $145 million in FY2024 (-27.1%), $198.8 million in FY2023 (-38.2%), $321.8 million in FY2022 (+94.7%) and $165.3 million in FY2021 (+97.3%).
- Quarterly Tax Provisions has moved between $9.9 million (Q2 2024) and $111.3 million (Q4 2022) over five years.
- Compared with a year earlier, Tax Provisions was higher in four of the last eight quarters, with growth averaging 60.7%.
- The best year-over-year quarter for Tax Provisions over five years was Q2 2025 (growth of 415.2%); the worst was Q2 2024 (a decline of 84.7%).
- Per Business Quant data, ABG's Tax Provisions in the three quarters before Q2 2026 was $62.8 million (Q1 2026), $22.7 million (Q4 2025) and $53.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,841.10 Bn | 2,357.80 Bn | 104.83 Bn | 18.20 Bn |
| 2 | Home Depot | 313.17 Bn | 306.42 Bn | 16.12 Bn | 1.55 Bn |
| 3 | Tjx Companies | 162.94 Bn | 140.49 Bn | 5.07 Bn | 498.00 Mn |
| 4 | Lowes Companies | 111.57 Bn | 104.53 Bn | 8.58 Bn | 776.00 Mn |
| 5 | Ross Stores | 75.85 Bn | 58.77 Bn | 2.12 Bn | 283.46 Mn |
| 6 | O Reilly Automotive | 74.16 Bn | 73.24 Bn | 2.52 Bn | 209.01 Mn |
| 7 | Target | 70.57 Bn | 65.16 Bn | 8.94 Bn | 582.00 Mn |
| 8 | Autozone | 51.92 Bn | 50.82 Bn | 2.52 Bn | 171.78 Mn |
| 9 | Carvana | 43.07 Bn | 33.56 Bn | 1.38 Bn | 66.00 Mn |
| 10 | Asbury Automotive | 3.16 Bn | 3.02 Bn | 753.10 Mn | 36.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.70 Mn |
| Mar 31, 2026 | 62.80 Mn |
| Dec 31, 2025 | 22.70 Mn |
| Sep 30, 2025 | 53.10 Mn |
| Jun 30, 2025 | 51.00 Mn |
| Mar 31, 2025 | 43.30 Mn |
| Dec 31, 2024 | 42.90 Mn |
| Sep 30, 2024 | 43.40 Mn |
| Jun 30, 2024 | 9.90 Mn |
| Mar 31, 2024 | 48.80 Mn |
| Dec 31, 2023 | 20.10 Mn |
| Sep 30, 2023 | 56.80 Mn |
| Jun 30, 2023 | 64.80 Mn |
| Mar 31, 2023 | 57.10 Mn |
| Dec 31, 2022 | 111.30 Mn |
| Sep 30, 2022 | 68.10 Mn |
| Jun 30, 2022 | 66.40 Mn |
| Mar 31, 2022 | 76.00 Mn |
| Dec 31, 2021 | 43.20 Mn |
| Sep 30, 2021 | 45.80 Mn |
API Access
Asbury Automotive Tax Provisions 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=tax-provisions&ticker=ABG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=ABG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();