G Iii Apparel (GIII) Net Margin (2010 - 2026)
G Iii Apparel (GIII) recorded Net Margin of 3.65% in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 1.86 percentage points from 1.78% a year earlier but down 8.77 percentage points from the prior quarter.
G Iii Apparel (GIII) Net Margin (2010 - 2026) Analysis & Trends
On a TTM basis, G Iii Apparel's Net Margin came in at 4.75% as of Jul 31, 2026, down 1.08 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it came in at 2.28%, down 3.81 percentage points from FY2025.
- Annual Net Margin has a five-year change of +1.13 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Net Margin came in at 6.09% in FY2025 (+0.40 pp), 5.69% in FY2024 (+9.81 pp), -4.12% in FY2023 (-11.37 pp) and 7.25% in FY2022 (+6.11 pp).
- Quarterly Net Margin has ranged from -30.56% in fiscal Q4 2023 to 12.41% in fiscal Q1 2027 over the past five years.
- On a year-over-year basis, Net Margin rose in four of the last eight quarters, with an average year-over-year change of -0.05 percentage points.
- Peak year-over-year performance for Net Margin in the last five years was a gain of 34.33 percentage points in fiscal Q4 2024, against a drop of 37.00 percentage points in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 12.41% (Q1 2027), -4.14% (Q4 2026) and 8.15% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | 9.74% |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | 18.53% |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 13.38% |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | - |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | 13.63% |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 5.59% |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | -3.16% |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | 15.23% |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 17.37% |
| 10 | G Iii Apparel | 1.17 Bn | -345.75 Mn | 250.38 Mn | 3.65% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 3.65% |
| Apr 30, 2026 | 12.41% |
| Jan 31, 2026 | -4.14% |
| Oct 31, 2025 | 8.15% |
| Jul 31, 2025 | 1.78% |
| Apr 30, 2025 | 1.33% |
| Jan 31, 2025 | 5.81% |
| Oct 31, 2024 | 10.56% |
| Jul 31, 2024 | 3.76% |
| Apr 30, 2024 | 0.95% |
| Jan 31, 2024 | 3.77% |
| Oct 31, 2023 | 11.96% |
| Jul 31, 2023 | 2.49% |
| Apr 30, 2023 | 0.53% |
| Jan 31, 2023 | -30.56% |
| Oct 31, 2022 | 5.67% |
| Jul 31, 2022 | 6.00% |
| Apr 30, 2022 | 4.45% |
| Jan 31, 2022 | 6.44% |
| Oct 31, 2021 | 10.49% |
G Iii Apparel Net 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=net-margin&ticker=GIII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-margin&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();