Advance Auto Parts (AAP) Net Debt Issuances and Repayments (2009 - 2025)
Powered by 
Analysis
Advance Auto Parts (AAP) Net Debt Issuances and Repayments (2009 - 2025) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,671.68 Bn | 2,188.38 Bn | 104.83 Bn | 10.15 Bn |
| 2 | Home Depot | 317.55 Bn | 310.79 Bn | 16.12 Bn | -817.00 Mn |
| 3 | Tjx Companies | 160.11 Bn | 137.66 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 111.01 Bn | 103.97 Bn | 8.58 Bn | -21.00 Mn |
| 5 | O Reilly Automotive | 74.59 Bn | 73.68 Bn | 2.52 Bn | 815.78 Mn |
| 6 | Ross Stores | 72.72 Bn | 55.65 Bn | 2.12 Bn | - |
| 7 | Target | 69.31 Bn | 63.90 Bn | 8.94 Bn | -38.00 Mn |
| 8 | Autozone | 52.85 Bn | 51.75 Bn | 2.52 Bn | 78.94 Mn |
| 9 | Carvana | 41.40 Bn | 31.89 Bn | 1.38 Bn | 81.00 Mn |
| 10 | Advance Auto Parts | 2.84 Bn | -8.23 Bn | 923.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 4, 2025 | -300.00 Mn |
| Dec 30, 2023 | -571,000.00 |
| Oct 7, 2023 | -95.00 Mn |
| Jul 15, 2023 | -21.00 Mn |
| Apr 22, 2023 | 530.57 Mn |
| Oct 8, 2022 | 85.00 Mn |
| Jul 16, 2022 | 100.00 Mn |
| Apr 23, 2022 | 147.54 Mn |
| Jan 1, 2022 | -244.52 Mn |
| Oct 3, 2020 | -253.72 Mn |
| Apr 18, 2020 | 498.24 Mn |
| Dec 28, 2019 | 12,000.00 |
| Oct 5, 2019 | 10.91 Mn |
| Jul 13, 2019 | -19.69 Mn |
| Apr 20, 2019 | -360.63 Mn |
| Dec 29, 2018 | 43.99 Mn |
| Oct 6, 2018 | -3.61 Mn |
| Jul 14, 2018 | 3.74 Mn |
| Apr 21, 2018 | -12.10 Mn |
| Dec 30, 2017 | 9.33 Mn |
API Access
Advance Auto Parts Net Debt Issuances and Repayments 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=net-debt-issuances-and-repayments&ticker=AAP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-debt-issuances-and-repayments", "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=net-debt-issuances-and-repayments&ticker=AAP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();