G Iii Apparel (GIII) Total Liabilities (2010 - 2026)
G Iii Apparel (GIII) reported Total Liabilities of $932.73 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 5.1% from $982.46 million a year earlier but up 22.6% from the prior quarter.
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Analysis
G Iii Apparel (GIII) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), G Iii Apparel posted Total Liabilities of $850.5 million, up 5.8% from FY2025.
- Total Liabilities has a five-year compound annual growth rate of -5.0% (FY2021 to FY2026).
- By fiscal year, Total Liabilities came in at $803.75 million in FY2025 (-28.9%), $1.13 billion in FY2024 (-14.8%), $1.33 billion in FY2023 (+8.5%) and $1.22 billion in FY2022 (+11.1%).
- Five-year quarterly Total Liabilities spans a low of $731.78 million in fiscal Q1 2026 and a high of $1.67 billion in fiscal Q3 2023.
- Year over year, Total Liabilities gained in two of the last eight quarters, with an average decline of 11.8%.
- The high point for year-over-year Total Liabilities in five years was fiscal Q3 2023 (growth of 34.3%); the low point was fiscal Q1 2026 (a decline of 30.0%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $760.86 million (Q1 2027), $850.5 million (Q4 2026) and $969.59 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 23.55 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 6.00 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 4.94 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | 1.19 Bn |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 3.69 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 4.36 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 7.74 Bn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 3.33 Bn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 2.97 Bn |
| 10 | G Iii Apparel | 1.16 Bn | -350.90 Mn | 250.38 Mn | 932.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 932.73 Mn |
| Apr 30, 2026 | 760.86 Mn |
| Jan 31, 2026 | 850.50 Mn |
| Oct 31, 2025 | 969.59 Mn |
| Jul 31, 2025 | 982.46 Mn |
| Apr 30, 2025 | 731.78 Mn |
| Jan 31, 2025 | 803.75 Mn |
| Oct 31, 2024 | 1.13 Bn |
| Jul 31, 2024 | 1.18 Bn |
| Apr 30, 2024 | 1.05 Bn |
| Jan 31, 2024 | 1.13 Bn |
| Oct 31, 2023 | 1.25 Bn |
| Jul 31, 2023 | 1.28 Bn |
| Apr 30, 2023 | 1.17 Bn |
| Jan 31, 2023 | 1.33 Bn |
| Oct 31, 2022 | 1.67 Bn |
| Jul 31, 2022 | 1.50 Bn |
| Apr 30, 2022 | 1.16 Bn |
| Jan 31, 2022 | 1.22 Bn |
| Oct 31, 2021 | 1.24 Bn |
API Access
G Iii Apparel Total Liabilities 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=total-liabilities&ticker=GIII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();