G Iii Apparel (GIII) Long-Term Debt Issuances (2010 - 2021)
G Iii Apparel's Long-Term Debt Issuances came in at $230,000 for FY2022 (year ended Jan 31, 2022), down 99.9% from $400 million in FY2021.
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Analysis
G Iii Apparel (GIII) Long-Term Debt Issuances (2010 - 2021) Analysis & Trends
Going back to FY2017, G Iii Apparel's Long-Term Debt Issuances data covers 4 fiscal years.
- Long-Term Debt Issuances carries a five-year compound annual growth rate of -75.9% (FY2017 to FY2022).
- Per Business Quant, earlier fiscal years put Long-Term Debt Issuances at $400 million in FY2021 and $3.36 million in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.55 Bn | 22.75 Bn | 4.80 Bn | - |
| 2 | Tapestry | 23.16 Bn | 19.12 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 22.84 Bn | 14.94 Bn | 1.44 Bn | - |
| 4 | Deckers Outdoor | 12.24 Bn | 5.11 Bn | - | - |
| 5 | Lululemon Athletica | 11.61 Bn | 5.87 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 8.25 Bn | 4.83 Bn | 1.07 Bn | - |
| 7 | V F | 6.85 Bn | 3.47 Bn | 917.04 Mn | - |
| 8 | Gildan Activewear | 6.58 Bn | 5.50 Bn | 459.76 Mn | - |
| 9 | Birkenstock Holding | 6.25 Bn | 4.57 Bn | 493.89 Mn | - |
| 10 | G Iii Apparel | 1.26 Bn | -255.73 Mn | 250.38 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2021 | 1.15 Mn |
| Jan 31, 2021 | 1.78 Mn |
| Oct 31, 2020 | 400.03 Mn |
| Jul 31, 2020 | 5.24 Mn |
| Apr 30, 2020 | 1.83 Mn |
| Jan 31, 2020 | -18,000.00 |
| Oct 31, 2019 | -27,000.00 |
| Jan 31, 2017 | 191.87 Mn |
| Oct 31, 2015 | 166.34 Mn |
| Apr 30, 2014 | 14.11 Mn |
| Jul 31, 2012 | 3.93 Mn |
| Apr 30, 2012 | 53.02 Mn |
| Oct 31, 2011 | 103.08 Mn |
| Jul 31, 2011 | 106.97 Mn |
| Apr 30, 2011 | 35.00 Mn |
| Oct 31, 2010 | 89.33 Mn |
API Access
G Iii Apparel Long-Term Debt Issuances 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=long-term-debt-issuances&ticker=GIII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-issuances", "ticker": "GIII", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-issuances&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();