G Iii Apparel (GIII) Gross Margin (2010 - 2026)
G Iii Apparel (GIII) recorded Gross Margin of 45.19% in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 4.35 percentage points from 40.84% a year earlier but down 19.70 percentage points from the prior quarter.
G Iii Apparel (GIII) Gross Margin (2010 - 2026) Analysis & Trends
On a TTM basis, G Iii Apparel's Gross Margin came in at 44.39% as of Jul 31, 2026, up 4.02 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it came in at 39.37%, down 1.46 percentage points from FY2025.
- Annual Gross Margin has a five-year change of +3.14 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Gross Margin came in at 40.82% in FY2025 (+0.74 pp), 40.08% in FY2024 (+5.96 pp), 34.13% in FY2023 (-1.59 pp) and 35.72% in FY2022 (-0.50 pp).
- Quarterly Gross Margin has ranged from 31.96% in fiscal Q3 2023 to 64.88% in fiscal Q1 2027 over the past five years.
- On a year-over-year basis, Gross Margin rose in three of the last eight quarters, with an average year-over-year change of +2.87 percentage points.
- Peak year-over-year performance for Gross Margin in the last five years was a gain of 22.64 percentage points in fiscal Q1 2027, against a drop of 2.50 percentage points in fiscal Q4 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 64.88% (Q1 2027), 37.00% (Q4 2026) and 38.59% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 49.15% |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 83.32% |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 73.69% |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 60.52% |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 62.68% |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 29.05% |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 59.05% |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 59.41% |
| 10 | G Iii Apparel | 1.16 Bn | -350.90 Mn | 250.38 Mn | 45.19% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 45.19% |
| Apr 30, 2026 | 64.88% |
| Jan 31, 2026 | 37.00% |
| Oct 31, 2025 | 38.59% |
| Jul 31, 2025 | 40.84% |
| Apr 30, 2025 | 42.24% |
| Jan 31, 2025 | 39.50% |
| Oct 31, 2024 | 39.76% |
| Jul 31, 2024 | 42.79% |
| Apr 30, 2024 | 42.46% |
| Jan 31, 2024 | 36.87% |
| Oct 31, 2023 | 40.62% |
| Jul 31, 2023 | 41.93% |
| Apr 30, 2023 | 41.18% |
| Jan 31, 2023 | 32.95% |
| Oct 31, 2022 | 31.96% |
| Jul 31, 2022 | 37.82% |
| Apr 30, 2022 | 35.72% |
| Jan 31, 2022 | 33.73% |
| Oct 31, 2021 | 34.22% |
G Iii Apparel Gross Margin 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-margin&ticker=GIII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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-margin&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();