Advance Auto Parts (AAP) Price to Book (2010 - 2026)
Advance Auto Parts' (AAP) Price to Book came in at 1.41 for Q2 2027, down 17.1% from 1.70 a year earlier.
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Analysis
Advance Auto Parts (AAP) Price to Book (2010 - 2026) Analysis & Trends
For FY2026, Advance Auto Parts' Price to Book stood at 1.06.
- In prior years, Advance Auto Parts' Price to Book was 1.22 in FY2024 (-15.5%), 1.44 in FY2023 (-57.0%) and 3.35 in FY2022 (-30.5%).
- Quarterly Price to Book has run from a low of 0.87 in Q1 2026 to a high of 4.18 in Q3 2022 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn |
| 10 | Advance Auto Parts | 2.33 Bn | -8.74 Bn | 923.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 18, 2026 | 1.41 |
| Jan 3, 2026 | 1.06 |
| Oct 4, 2025 | 1.68 |
| Jul 12, 2025 | 1.70 |
| Apr 19, 2025 | 0.87 |
| Dec 28, 2024 | 1.22 |
| Oct 5, 2024 | 0.89 |
| Jul 13, 2024 | 1.44 |
| Apr 20, 2024 | 1.83 |
| Dec 30, 2023 | 1.44 |
| Oct 7, 2023 | 1.21 |
| Jul 15, 2023 | 1.59 |
| Apr 22, 2023 | 2.97 |
| Dec 31, 2022 | 3.35 |
| Oct 8, 2022 | 3.51 |
| Jul 16, 2022 | 4.09 |
| Apr 23, 2022 | 4.55 |
| Jan 1, 2022 | 4.83 |
| Oct 9, 2021 | 4.18 |
| Jul 17, 2021 | 3.93 |
API Access
Advance Auto Parts Price to Book 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=price-to-book&ticker=AAP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=AAP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();