G Iii Apparel (GIII) Net Income (2010 - 2026)
G Iii Apparel's Net Income came in at $20.21 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 84.8% from $10.94 million a year earlier but down 69.6% from the prior quarter.
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Analysis
G Iii Apparel (GIII) Net Income (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, G Iii Apparel reported Net Income of $135.4 million, down 25.7% year-over-year; for FY2026 (ended Jan 31, 2026), it was $67.35 million, down 65.2% from FY2025.
- Net Income carries a five-year compound annual growth rate of 23.4% (FY2021 to FY2026).
- Going back by fiscal year, Net Income was $193.29 million in FY2025 (+10.6%), $174.74 million in FY2024, -$134.38 million in FY2023 and $200.1 million in FY2022 (+750.7%).
- The five-year range for quarterly Net Income is -$261.92 million (fiscal Q4 2023) to $127.38 million (fiscal Q3 2024).
- Year-over-year, Net Income increased in four of the last seven quarters, with growth averaging 123.1%.
- The fastest year-over-year change in Net Income over five years came in fiscal Q1 2027 (growth of 757.5%), and the weakest in fiscal Q1 2024 (a decline of 89.7%).
- Business Quant data shows GIII's Net Income at $66.53 million (Q1 2027), -$31.94 million (Q4 2026) and $80.59 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 1.07 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 347.80 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 262.20 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 329.22 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 87.30 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | -49.95 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 127.38 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 204.89 Mn |
| 10 | G Iii Apparel | 1.16 Bn | -351.32 Mn | 250.38 Mn | 20.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 20.21 Mn |
| Apr 30, 2026 | 66.53 Mn |
| Jan 31, 2026 | -31.94 Mn |
| Oct 31, 2025 | 80.59 Mn |
| Jul 31, 2025 | 10.94 Mn |
| Apr 30, 2025 | 7.76 Mn |
| Jan 31, 2025 | 48.78 Mn |
| Oct 31, 2024 | 114.77 Mn |
| Jul 31, 2024 | 24.19 Mn |
| Apr 30, 2024 | 5.55 Mn |
| Jan 31, 2024 | 27.98 Mn |
| Oct 31, 2023 | 127.38 Mn |
| Jul 31, 2023 | 16.24 Mn |
| Apr 30, 2023 | 3.14 Mn |
| Jan 31, 2023 | -261.92 Mn |
| Oct 31, 2022 | 60.85 Mn |
| Jul 31, 2022 | 36.07 Mn |
| Apr 30, 2022 | 30.63 Mn |
| Jan 31, 2022 | 48.14 Mn |
| Oct 31, 2021 | 106.47 Mn |
API Access
G Iii Apparel Net Income 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-income&ticker=GIII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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-income&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();