G Iii Apparel (GIII) Total Non-Current Liabilities (2010 - 2026)
G Iii Apparel's Total Non-Current Liabilities was $916.41 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 4.7% from $961.28 million a year earlier but up 23.3% from the prior quarter.
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Analysis
G Iii Apparel (GIII) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Total Non-Current Liabilities at G Iii Apparel came in at $832.4 million, up 6.3% from FY2025.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of -5.3% (FY2021 to FY2026).
- In earlier fiscal years, Total Non-Current Liabilities was $782.88 million in FY2025 (-29.8%), $1.12 billion in FY2024 (-15.0%), $1.31 billion in FY2023 (+8.5%) and $1.21 billion in FY2022 (+10.7%).
- Quarterly Total Non-Current Liabilities has moved between $710.7 million (fiscal Q1 2026) and $1.65 billion (fiscal Q3 2023) over five years.
- Compared with a year earlier, Total Non-Current Liabilities was higher in two of the last eight quarters, with an average decline of 11.9%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was fiscal Q3 2023 (growth of 34.2%); the worst was fiscal Q1 2026 (a decline of 30.7%).
- Per Business Quant data, GIII's Total Non-Current Liabilities in the three fiscal quarters before Q2 2027 was $743.36 million (Q1 2027), $832.4 million (Q4 2026) and $951.4 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | - |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | 5.46 Bn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 4.76 Bn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | 384.05 Mn |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | 3.63 Bn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 4.12 Bn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | 4.37 Bn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | 2.75 Bn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 2.33 Bn |
| 10 | G Iii Apparel | 1.17 Bn | -345.75 Mn | 250.38 Mn | 916.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 916.41 Mn |
| Apr 30, 2026 | 743.36 Mn |
| Jan 31, 2026 | 832.40 Mn |
| Oct 31, 2025 | 951.40 Mn |
| Jul 31, 2025 | 961.28 Mn |
| Apr 30, 2025 | 710.70 Mn |
| Jan 31, 2025 | 782.88 Mn |
| Oct 31, 2024 | 1.11 Bn |
| Jul 31, 2024 | 1.16 Bn |
| Apr 30, 2024 | 1.02 Bn |
| Jan 31, 2024 | 1.12 Bn |
| Oct 31, 2023 | 1.23 Bn |
| Jul 31, 2023 | 1.27 Bn |
| Apr 30, 2023 | 1.16 Bn |
| Jan 31, 2023 | 1.31 Bn |
| Oct 31, 2022 | 1.65 Bn |
| Jul 31, 2022 | 1.48 Bn |
| Apr 30, 2022 | 1.15 Bn |
| Jan 31, 2022 | 1.21 Bn |
| Oct 31, 2021 | 1.23 Bn |
API Access
G Iii Apparel Total Non-Current 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-non-current-liabilities&ticker=GIII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();