G Iii Apparel (GIII) Gross Profit (2010 - 2026)
G Iii Apparel (GIII) posted Gross Profit of $250.38 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), unchanged from $250.47 million a year earlier and down 28.0% from the prior quarter.
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Analysis
G Iii Apparel (GIII) Gross Profit (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Gross Profit at G Iii Apparel was $1.27 billion, up 0.3% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $1.16 billion, down 10.4% from FY2025.
- Annual Gross Profit shows a five-year compound annual growth rate of 9.4% (FY2021 to FY2026).
- In prior fiscal years, G Iii Apparel's Gross Profit was $1.3 billion in FY2025 (+4.6%), $1.24 billion in FY2024 (+12.8%), $1.1 billion in FY2023 (+11.4%) and $988.19 million in FY2022 (+32.7%).
- The fiscal Q2 2027 figure stands as the lowest quarterly Gross Profit since fiscal Q1 2026.
- On a year-over-year basis, Gross Profit increased in two of the last eight quarters, with growth averaging 2.3%.
- The strongest year-over-year quarter for Gross Profit in the past five years was fiscal Q1 2027, with growth of 41.0%; the weakest was fiscal Q4 2026, with a decline of 13.9%.
- According to Business Quant data, Gross Profit for the three prior fiscal quarters was $347.75 million (Q1 2027), $285.48 million (Q4 2026) and $381.53 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn |
| 10 | G Iii Apparel | 1.16 Bn | -351.32 Mn | 250.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 250.38 Mn |
| Apr 30, 2026 | 347.75 Mn |
| Jan 31, 2026 | 285.48 Mn |
| Oct 31, 2025 | 381.53 Mn |
| Jul 31, 2025 | 250.47 Mn |
| Apr 30, 2025 | 246.54 Mn |
| Jan 31, 2025 | 331.63 Mn |
| Oct 31, 2024 | 432.13 Mn |
| Jul 31, 2024 | 275.87 Mn |
| Apr 30, 2024 | 258.89 Mn |
| Jan 31, 2024 | 281.98 Mn |
| Oct 31, 2023 | 433.41 Mn |
| Jul 31, 2023 | 276.65 Mn |
| Apr 30, 2023 | 249.80 Mn |
| Jan 31, 2023 | 281.55 Mn |
| Oct 31, 2022 | 344.63 Mn |
| Jul 31, 2022 | 228.93 Mn |
| Apr 30, 2022 | 246.04 Mn |
| Jan 31, 2022 | 252.33 Mn |
| Oct 31, 2021 | 347.51 Mn |
API Access
G Iii Apparel Gross Profit 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=gross-profit&ticker=GIII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-profit", "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=gross-profit&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();