G Iii Apparel (GIII) EBITDA Margin (2010 - 2026)
G Iii Apparel's EBITDA Margin was 3.43% in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 0.42 percentage points from 3.85% a year earlier and down 13.81 percentage points from the prior quarter.
G Iii Apparel (GIII) EBITDA Margin (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, G Iii Apparel's EBITDA Margin was 7.36% through Jul 31, 2026, down 1.93 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it was 4.63%, down 5.44 percentage points from FY2025.
- EBITDA Margin shows a five-year change of -1.28 percentage points (FY2021 to FY2026).
- In earlier fiscal years, EBITDA Margin was 10.08% in FY2025 (+0.04 pp), 10.03% in FY2024 (+12.57 pp), -2.53% in FY2023 (-14.78 pp) and 12.24% in FY2022 (+6.33 pp).
- Quarterly EBITDA Margin has moved between -33.32% (fiscal Q4 2023) and 18.45% (fiscal Q3 2024) over five years.
- Compared with a year earlier, EBITDA Margin was higher in two of the last eight quarters, with an average year-over-year change of -0.81 percentage points.
- The best year-over-year quarter for EBITDA Margin over five years was fiscal Q4 2024 (a gain of 40.48 percentage points); the worst was fiscal Q4 2023 (a drop of 43.17 percentage points).
- Per Business Quant data, GIII's EBITDA Margin in the three fiscal quarters before Q2 2027 was 17.24% (Q1 2027), -2.74% (Q4 2026) and 12.09% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 13.71% |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 26.69% |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 20.48% |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 24.67% |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 11.49% |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 15.43% |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 29.25% |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 25.92% |
| 10 | G Iii Apparel | 1.16 Bn | -350.90 Mn | 250.38 Mn | 3.43% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 3.43% |
| Apr 30, 2026 | 17.24% |
| Jan 31, 2026 | -2.74% |
| Oct 31, 2025 | 12.09% |
| Jul 31, 2025 | 3.85% |
| Apr 30, 2025 | 2.58% |
| Jan 31, 2025 | 9.35% |
| Oct 31, 2024 | 15.91% |
| Jul 31, 2024 | 7.27% |
| Apr 30, 2024 | 3.65% |
| Jan 31, 2024 | 7.15% |
| Oct 31, 2023 | 18.45% |
| Jul 31, 2023 | 5.68% |
| Apr 30, 2023 | 3.60% |
| Jan 31, 2023 | -33.32% |
| Oct 31, 2022 | 9.69% |
| Jul 31, 2022 | 6.26% |
| Apr 30, 2022 | 8.80% |
| Jan 31, 2022 | 9.85% |
| Oct 31, 2021 | 16.26% |
G Iii Apparel EBITDA 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=ebitda-margin&ticker=GIII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();