G Iii Apparel (GIII) Net Cash Flow (2010 - 2026)
G Iii Apparel's Net Cash Flow came in at $135.47 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 275.1% from $36.12 million a year earlier.
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Analysis
G Iii Apparel (GIII) Net Cash Flow (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, G Iii Apparel reported Net Cash Flow of $225.2 million; for FY2026 (ended Jan 31, 2026), it was $208.86 million.
- Net Cash Flow carries a five-year compound annual growth rate of 6.9% (FY2021 to FY2026).
- Going back by fiscal year, Net Cash Flow was -$317.26 million in FY2025, $314.62 million in FY2024, -$270.93 million in FY2023 and $110.85 million in FY2022 (-25.8%).
- The five-year range for quarterly Net Cash Flow is -$312.92 million (fiscal Q3 2025) to $306.74 million (fiscal Q4 2024).
- The fastest year-over-year change in Net Cash Flow over five years came in fiscal Q4 2024 (growth of 819.6%), and the weakest in fiscal Q1 2025 (a decline of 96.5%).
- Business Quant data shows GIII's Net Cash Flow at -$10.67 million (Q1 2027), $216.86 million (Q4 2026) and -$116.46 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.05 Bn | 18.05 Bn | 5.39 Bn | 911.00 Mn |
| 2 | Tapestry | 23.90 Bn | 19.86 Bn | 1.56 Bn | -61.30 Mn |
| 3 | Ralph Lauren | 21.81 Bn | 13.91 Bn | 1.44 Bn | -251.80 Mn |
| 4 | Deckers Outdoor | 11.33 Bn | 4.20 Bn | - | - |
| 5 | Lululemon Athletica | 10.22 Bn | 4.47 Bn | 1.46 Bn | -101.81 Mn |
| 6 | Levi Strauss | 7.69 Bn | 4.35 Bn | 979.10 Mn | 136.20 Mn |
| 7 | Gildan Activewear | 6.41 Bn | 5.41 Bn | 459.76 Mn | 28.54 Mn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.37 Bn | 493.89 Mn | 571.24 Mn |
| 9 | Crocs | 5.74 Bn | 5.15 Bn | 700.71 Mn | 43.48 Mn |
| 10 | G Iii Apparel | 1.18 Bn | -332.03 Mn | 250.38 Mn | 135.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 135.47 Mn |
| Apr 30, 2026 | -10.67 Mn |
| Jan 31, 2026 | 216.86 Mn |
| Oct 31, 2025 | -116.46 Mn |
| Jul 31, 2025 | 36.12 Mn |
| Apr 30, 2025 | 72.34 Mn |
| Jan 31, 2025 | 84.90 Mn |
| Oct 31, 2024 | -312.92 Mn |
| Jul 31, 2024 | -92.61 Mn |
| Apr 30, 2024 | 3.37 Mn |
| Jan 31, 2024 | 306.74 Mn |
| Oct 31, 2023 | 4.50 Mn |
| Jul 31, 2023 | -94.06 Mn |
| Apr 30, 2023 | 97.45 Mn |
| Jan 31, 2023 | 33.36 Mn |
| Oct 31, 2022 | 7.33 Mn |
| Jul 31, 2022 | -284.70 Mn |
| Apr 30, 2022 | -26.91 Mn |
| Jan 31, 2022 | 182.02 Mn |
| Oct 31, 2021 | -229.84 Mn |
API Access
G Iii Apparel Net Cash Flow 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=net-cash-flow&ticker=GIII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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=net-cash-flow&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();