CarParts.com (PRTS) Price to Book (2011 - 2026)
CarParts.com's Price to Book came in at 0.88 for Q2 2027, up 24.2% from 0.71 a year earlier but down 19.8% from the prior quarter.
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Analysis
CarParts.com (PRTS) Price to Book (2011 - 2026) Analysis & Trends
For FY2026, CarParts.com's Price to Book was 0.65.
- Going back by year, Price to Book was 0.64 in FY2024 (-59.4%), 1.58 in FY2023 (-49.3%) and 3.11 in FY2022 (-49.9%).
- The five-year range for quarterly Price to Book is 0.65 (Q4 2026) to 8.78 (Q3 2022).
- Business Quant data shows PRTS's Price to Book at 1.09 (Q1 2027), 0.65 (Q4 2026) and 0.81 (Q3 2026) in the three quarters before Q2 2027.
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 | CarParts.com | 64.63 Mn | -73.23 Mn | 45.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 0.88 |
| Apr 4, 2026 | 1.09 |
| Jan 3, 2026 | 0.65 |
| Sep 27, 2025 | 0.81 |
| Jun 28, 2025 | 0.71 |
| Mar 29, 2025 | 0.73 |
| Dec 28, 2024 | 0.64 |
| Sep 28, 2024 | 0.54 |
| Jun 29, 2024 | 0.55 |
| Mar 30, 2024 | 0.84 |
| Dec 30, 2023 | 1.58 |
| Sep 30, 2023 | 2.01 |
| Jul 1, 2023 | 2.04 |
| Apr 1, 2023 | 2.49 |
| Dec 31, 2022 | 3.11 |
| Oct 1, 2022 | 2.53 |
| Jul 2, 2022 | 3.65 |
| Apr 2, 2022 | 3.44 |
| Jan 1, 2022 | 6.21 |
| Oct 2, 2021 | 8.78 |
API Access
CarParts.com 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=PRTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "PRTS", "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=PRTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();