Gap (GAP) Net Debt Issuances and Repayments (2009 - 2023)
Gap (GAP) reported Net Debt Issuances and Repayments of -$350 million for FY2024 (year ended Feb 3, 2024), compared with $350 million in FY2023.
Analysis
Gap (GAP) Net Debt Issuances and Repayments (2009 - 2023) Analysis & Trends
Dating back to FY2009, Gap's Net Debt Issuances and Repayments record includes 14 fiscal years.
- Five-year annual Net Debt Issuances and Repayments spans a low of -$1.05 billion in FY2022 and a high of $943 million in FY2021.
- According to Business Quant data, Net Debt Issuances and Repayments came in at $350 million in FY2023, -$1.05 billion in FY2022 and $943 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,803.87 Bn | 2,300.54 Bn | 107.37 Bn | 48.94 Bn |
| 2 | Home Depot | 341.42 Bn | 334.67 Bn | 16.12 Bn | -817.00 Mn |
| 3 | Tjx Companies | 149.33 Bn | 126.87 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 125.87 Bn | 118.84 Bn | 8.58 Bn | -21.00 Mn |
| 5 | O Reilly Automotive | 74.24 Bn | 73.33 Bn | 2.52 Bn | 815.78 Mn |
| 6 | Ross Stores | 73.45 Bn | 56.37 Bn | 2.12 Bn | - |
| 7 | Target | 71.89 Bn | 66.48 Bn | 8.94 Bn | -38.00 Mn |
| 8 | Carvana | 53.03 Bn | 42.62 Bn | 1.52 Bn | -55.00 Mn |
| 9 | Autozone | 52.99 Bn | 51.84 Bn | 3.52 Bn | -809.85 Mn |
| 10 | Gap | 7.64 Bn | -2.92 Bn | 1.93 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 28, 2023 | -150.00 Mn |
| Apr 30, 2022 | 350.00 Mn |
| Oct 30, 2021 | -1.05 Bn |
| May 2, 2020 | 500.00 Mn |
| Jan 28, 2017 | -400.00 Mn |
| Feb 2, 2013 | -2.00 Mn |
| Oct 27, 2012 | -366.00 Mn |
| Jan 28, 2012 | 7.00 Mn |
| Jul 30, 2011 | 400.00 Mn |
| Apr 30, 2011 | 1.25 Bn |
| Jan 29, 2011 | 3.00 Mn |
| May 2, 2009 | -50.00 Mn |
| Jan 31, 2009 | -138.00 Mn |
API Access
Gap 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=GAP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-debt-issuances-and-repayments", "ticker": "GAP", "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=GAP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();