G Iii Apparel (GIII) Current Debt (2012 - 2026)
G Iii Apparel (GIII) recorded Current Debt of -$48.04 million in FY2015 (year ended Jan 31, 2015), compared with -$16.16 million in FY2014.
Analysis
G Iii Apparel (GIII) Current Debt (2012 - 2026) Analysis & Trends
Starting with FY2010, G Iii Apparel's Current Debt history includes 5 fiscal years.
- The FY2015 figure is the lowest annual Current Debt in data going back to FY2010.
- Per Business Quant data, GIII's Current Debt was -$16.16 million in FY2014, $34.95 million in FY2013 (+16.3%) and $30.05 million in FY2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.18 Bn | 22.38 Bn | 4.80 Bn | - |
| 2 | Tapestry | 23.99 Bn | 19.95 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 22.76 Bn | 14.85 Bn | 1.44 Bn | - |
| 4 | Deckers Outdoor | 12.61 Bn | 5.48 Bn | - | - |
| 5 | Lululemon Athletica | 11.29 Bn | 5.54 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 8.02 Bn | 4.60 Bn | 1.07 Bn | - |
| 7 | V F | 6.86 Bn | 3.48 Bn | 917.04 Mn | -451,000.00 |
| 8 | Gildan Activewear | 6.55 Bn | 5.47 Bn | 459.76 Mn | - |
| 9 | Birkenstock Holding | 6.11 Bn | 4.43 Bn | 493.89 Mn | - |
| 10 | G Iii Apparel | 1.21 Bn | -303.22 Mn | 250.38 Mn | -7.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -7.63 Mn |
| Apr 30, 2026 | 3.98 Mn |
| Jan 31, 2026 | 1.17 Mn |
| Oct 31, 2025 | -4.54 Mn |
| Jul 31, 2025 | -3.97 Mn |
| Apr 30, 2025 | 12.01 Mn |
| Jan 31, 2025 | -217.32 Mn |
| Oct 31, 2024 | 207.91 Mn |
| Jul 31, 2024 | -12.71 Mn |
| Apr 30, 2024 | 8.56 Mn |
| Jan 31, 2024 | 4.49 Mn |
| Oct 31, 2023 | -4.73 Mn |
| Jul 31, 2023 | -3.47 Mn |
| Apr 30, 2023 | -78.96 Mn |
| Jan 31, 2023 | -260.20 Mn |
| Oct 31, 2022 | 299.31 Mn |
| Jul 31, 2022 | 49.35 Mn |
| Apr 30, 2022 | -69,000.00 |
| Jan 31, 2022 | -1.21 Mn |
| Oct 31, 2021 | -1.61 Mn |
API Access
G Iii Apparel Current 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=current-debt&ticker=GIII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-debt", "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=current-debt&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();