Advance Auto Parts (AAP) Selling, General & Administrative (2009 - 2026)
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Analysis
Advance Auto Parts (AAP) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 2.70 Bn |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 8.42 Bn |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 805.00 Mn |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | 1.02 Bn |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | 5.73 Bn |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | 1.58 Bn |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 2.20 Bn |
| 10 | Advance Auto Parts | 2.75 Bn | -9.53 Bn | 897.00 Mn | 808.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 10, 2026 | 808.00 Mn |
| Jul 18, 2026 | 812.00 Mn |
| Apr 25, 2026 | 1.08 Bn |
| Oct 4, 2025 | 826.00 Mn |
| Jul 12, 2025 | 823.00 Mn |
| Apr 19, 2025 | 1.12 Bn |
| Dec 28, 2024 | 880.00 Mn |
| Oct 5, 2024 | 895.00 Mn |
| Jul 13, 2024 | 889.00 Mn |
| Apr 20, 2024 | 1.15 Bn |
| Dec 30, 2023 | 845.76 Mn |
| Oct 7, 2023 | 896.15 Mn |
| Jul 15, 2023 | 1.01 Bn |
| Apr 22, 2023 | 1.36 Bn |
| Dec 31, 2022 | 406.29 Mn |
| Oct 8, 2022 | 1.01 Bn |
| Jul 16, 2022 | 984.04 Mn |
| Apr 23, 2022 | 1.30 Bn |
| Jan 1, 2022 | 1.30 Bn |
| Oct 9, 2021 | 953.26 Mn |
API Access
Advance Auto Parts Selling, General & Administrative 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=selling-general-and-administrative&ticker=AAP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "AAP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=AAP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();