G Iii Apparel (GIII) FCF Margin (2010 - 2026)
G Iii Apparel (GIII) posted FCF Margin of 30.97% for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 20.41 percentage points from 10.56% a year earlier and up 32.91 percentage points from the prior quarter.
G Iii Apparel (GIII) FCF Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, FCF Margin at G Iii Apparel was 9.64%, down 1.69 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it came in at 8.93%, up 0.28 percentage points from FY2025.
- Annual FCF Margin shows a five-year change of +6.07 percentage points (FY2021 to FY2026).
- In prior fiscal years, G Iii Apparel's FCF Margin was 8.64% in FY2025 (-9.53 pp), 18.17% in FY2024 (+22.08 pp), -3.91% in FY2023 (-9.96 pp) and 6.06% in FY2022 (+3.20 pp).
- The fiscal Q2 2027 figure stands as the highest quarterly FCF Margin since fiscal Q4 2025.
- On a year-over-year basis, FCF Margin increased in four of the last eight quarters, with an average year-over-year change of -1.45 percentage points.
- The strongest year-over-year quarter for FCF Margin in the past five years was fiscal Q1 2024, with a gain of 31.46 percentage points; the weakest was fiscal Q2 2023, with a drop of 50.07 percentage points.
- According to Business Quant data, FCF Margin for the three prior fiscal quarters was -1.95% (Q1 2027), 28.50% (Q4 2026) and -10.77% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 13.66% |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 24.99% |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 14.59% |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 9.32% |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 14.78% |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 23.21% |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 37.90% |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 28.06% |
| 10 | G Iii Apparel | 1.16 Bn | -350.90 Mn | 250.38 Mn | 30.97% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 30.97% |
| Apr 30, 2026 | -1.95% |
| Jan 31, 2026 | 28.50% |
| Oct 31, 2025 | -10.77% |
| Jul 31, 2025 | 10.56% |
| Apr 30, 2025 | 14.69% |
| Jan 31, 2025 | 38.55% |
| Oct 31, 2024 | -11.07% |
| Jul 31, 2024 | 6.02% |
| Apr 30, 2024 | 5.37% |
| Jan 31, 2024 | 46.06% |
| Oct 31, 2023 | 0.87% |
| Jul 31, 2023 | 0.68% |
| Apr 30, 2023 | 32.45% |
| Jan 31, 2023 | 35.58% |
| Oct 31, 2022 | -28.91% |
| Jul 31, 2022 | -20.70% |
| Apr 30, 2022 | 0.99% |
| Jan 31, 2022 | 26.19% |
| Oct 31, 2021 | -21.14% |
G Iii Apparel FCF 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=fcf-margin&ticker=GIII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-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=fcf-margin&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();