G Iii Apparel (GIII) Revenue (2010 - 2026)
G Iii Apparel's Revenue was $554.09 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 9.6% from $613.27 million a year earlier but up 3.4% from the prior quarter.
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Analysis
G Iii Apparel (GIII) Revenue (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, G Iii Apparel's Revenue was $2.85 billion through Jul 31, 2026, down 8.7% year-over-year; for FY2026 (ended Jan 31, 2026), it was $2.96 billion, down 7.0% from FY2025.
- Revenue shows a five-year compound annual growth rate of 7.5% (FY2021 to FY2026).
- In earlier fiscal years, Revenue was $3.18 billion in FY2025 (+2.7%), $3.1 billion in FY2024 (-4.0%), $3.23 billion in FY2023 (+16.6%) and $2.77 billion in FY2022 (+34.6%).
- Quarterly Revenue has moved between $535.96 million (fiscal Q1 2027) and $1.09 billion (fiscal Q3 2025) over five years.
- Compared with a year earlier, Revenue has declined for six straight quarters, with an average decline of 4.1% over the last eight quarters.
- The best year-over-year quarter for Revenue over five years was fiscal Q4 2022 (growth of 42.2%); the worst was fiscal Q1 2024 (a decline of 11.9%).
- Per Business Quant data, GIII's Revenue in the three fiscal quarters before Q2 2027 was $535.96 million (Q1 2027), $771.49 million (Q4 2026) and $988.65 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | 10.97 Bn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | 1.88 Bn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 1.96 Bn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | - |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | 2.42 Bn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 1.56 Bn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | 1.58 Bn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | 836.35 Mn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 1.18 Bn |
| 10 | G Iii Apparel | 1.17 Bn | -345.75 Mn | 250.38 Mn | 554.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 554.09 Mn |
| Apr 30, 2026 | 535.96 Mn |
| Jan 31, 2026 | 771.49 Mn |
| Oct 31, 2025 | 988.65 Mn |
| Jul 31, 2025 | 613.27 Mn |
| Apr 30, 2025 | 583.61 Mn |
| Jan 31, 2025 | 839.54 Mn |
| Oct 31, 2024 | 1.09 Bn |
| Jul 31, 2024 | 644.76 Mn |
| Apr 30, 2024 | 609.75 Mn |
| Jan 31, 2024 | 764.78 Mn |
| Oct 31, 2023 | 1.07 Bn |
| Jul 31, 2023 | 659.76 Mn |
| Apr 30, 2023 | 606.59 Mn |
| Jan 31, 2023 | 854.43 Mn |
| Oct 31, 2022 | 1.08 Bn |
| Jul 31, 2022 | 605.24 Mn |
| Apr 30, 2022 | 688.76 Mn |
| Jan 31, 2022 | 748.16 Mn |
| Oct 31, 2021 | 1.02 Bn |
API Access
G Iii Apparel Revenue 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=revenue&ticker=GIII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();