G Iii Apparel (GIII) Long-Term Debt Repayments (2015 - 2024)
G Iii Apparel (GIII) posted Long-Term Debt Repayments of $400 million for FY2025 (year ended Jan 31, 2025), up 220.0% from $125 million in FY2024.
Analysis
G Iii Apparel (GIII) Long-Term Debt Repayments (2015 - 2024) Analysis & Trends
Since FY2014, G Iii Apparel has reported Long-Term Debt Repayments for 8 fiscal years.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of 280.1% (FY2020 to FY2025).
- The FY2025 figure stands as the highest annual Long-Term Debt Repayments in data going back to FY2014.
- Business Quant data shows GIII's Long-Term Debt Repayments at $125 million in FY2024, $549,000 in FY2022 (-99.8%) and $300.53 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.49 Bn | 22.69 Bn | 4.80 Bn | - |
| 2 | Tapestry | 23.37 Bn | 19.33 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 22.99 Bn | 15.09 Bn | 1.44 Bn | 7.10 Mn |
| 4 | Deckers Outdoor | 12.54 Bn | 5.41 Bn | - | - |
| 5 | Lululemon Athletica | 11.42 Bn | 5.67 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 8.23 Bn | 4.82 Bn | 1.07 Bn | - |
| 7 | V F | 6.83 Bn | 3.45 Bn | 917.04 Mn | - |
| 8 | Gildan Activewear | 6.46 Bn | 5.38 Bn | 459.76 Mn | -25.30 Mn |
| 9 | Birkenstock Holding | 6.20 Bn | 4.52 Bn | 493.89 Mn | 534.46 Mn |
| 10 | G Iii Apparel | 1.24 Bn | -276.28 Mn | 250.38 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2024 | 50.00 Mn |
| Jan 31, 2021 | 268,000.00 |
| Apr 30, 2020 | 118,000.00 |
| Jan 31, 2020 | 166,000.00 |
| Oct 31, 2019 | 168,000.00 |
| Jan 31, 2015 | 48.01 Mn |
API Access
G Iii Apparel Long-Term Debt 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=long-term-debt-repayments&ticker=GIII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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-repayments&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();