CarParts.com (PRTS) Total Debt (2011 - 2025)
CarParts.com (PRTS) recorded Total Debt of $1.79 million in FY2019.
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Analysis
CarParts.com (PRTS) Total Debt (2011 - 2025) Analysis & Trends
Starting with FY2010, CarParts.com's Total Debt history includes 6 years.
- Annual Total Debt has a four-year compound annual growth rate of -37.5% (FY2015 to FY2019).
- The FY2019 figure is the highest annual Total Debt in data going back to FY2010.
- Per Business Quant data, PRTS's Total Debt was $11.76 million in FY2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 128.89 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 52.90 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 2.87 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 37.56 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 15.36 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 7.01 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 5.24 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 9.02 Bn |
| 10 | CarParts.com | 64.63 Mn | -73.23 Mn | 45.06 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2025 | 10.00 Mn |
| Oct 1, 2022 | 5.00 Mn |
| Apr 2, 2022 | 5.00 Mn |
| Dec 28, 2019 | 1.79 Mn |
| Sep 28, 2019 | 1.68 Mn |
| Apr 2, 2016 | 3.00 Mn |
| Jan 2, 2016 | 11.76 Mn |
| Oct 3, 2015 | 8.29 Mn |
| Jul 4, 2015 | 7.99 Mn |
| Apr 4, 2015 | 9.49 Mn |
| Jan 3, 2015 | 11.02 Mn |
| Mar 29, 2014 | 750,000.00 |
| Dec 28, 2013 | 6.77 Mn |
| Sep 28, 2013 | 8.30 Mn |
| Jun 29, 2013 | 3.27 Mn |
| Mar 30, 2013 | 12.13 Mn |
| Dec 29, 2012 | 16.22 Mn |
| Sep 29, 2012 | 17.13 Mn |
| Jun 30, 2012 | 12.91 Mn |
| Mar 31, 2012 | 17.88 Mn |
API Access
CarParts.com Total Debt 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=total-debt&ticker=PRTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=PRTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();