CarParts.com (PRTS) Debt Ratio (2011 - 2025)
CarParts.com's (PRTS) Debt Ratio stood at 0.02 in FY2019.
Powered by 
Analysis
CarParts.com (PRTS) Debt Ratio (2011 - 2025) Analysis & Trends
Starting with FY2010, CarParts.com's Debt Ratio history includes 6 years.
- The FY2019 figure is the highest annual Debt Ratio in data going back to FY2010.
- Per Business Quant data, PRTS's Debt Ratio was 0.14 in FY2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 0.12 |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 0.48 |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 0.08 |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 0.67 |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 0.06 |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 0.25 |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 0.40 |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 0.36 |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 0.43 |
| 10 | CarParts.com | 65.67 Mn | -72.19 Mn | 45.06 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2025 | 0.05 |
| Oct 1, 2022 | 0.02 |
| Apr 2, 2022 | 0.02 |
| Dec 28, 2019 | 0.02 |
| Sep 28, 2019 | 0.02 |
| Apr 2, 2016 | 0.04 |
| Jan 2, 2016 | 0.14 |
| Oct 3, 2015 | 0.10 |
| Jul 4, 2015 | 0.10 |
| Apr 4, 2015 | 0.11 |
| Jan 3, 2015 | 0.13 |
| Mar 29, 2014 | 0.01 |
| Dec 28, 2013 | 0.10 |
| Sep 28, 2013 | 0.11 |
| Dec 29, 2012 | 0.18 |
| Mar 31, 2012 | 0.13 |
| Dec 31, 2011 | 0.13 |
| Oct 1, 2011 | 0.13 |
| Jul 2, 2011 | 0.14 |
| Jan 1, 2011 | 0.16 |
API Access
CarParts.com Debt Ratio 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=debt-ratio&ticker=PRTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=PRTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();