G Iii Apparel (GIII) Return on Sales [ROS] (2010 - 2026)
G Iii Apparel (GIII) recorded Return on Sales [ROS] of 1.95% in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 0.70 percentage points from 2.66% a year earlier and down 13.95 percentage points from the prior quarter.
G Iii Apparel (GIII) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, G Iii Apparel's Return on Sales [ROS] came in at 6.29% as of Jul 31, 2026, down 2.13 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it came in at 3.65%, down 5.56 percentage points from FY2025.
- Annual Return on Sales [ROS] has a five-year change of -0.38 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Sales [ROS] came in at 9.21% in FY2025 (+0.07 pp), 9.15% in FY2024 (+12.54 pp), -3.39% in FY2023 (-14.64 pp) and 11.24% in FY2022 (+7.21 pp).
- Quarterly Return on Sales [ROS] has ranged from -34.23% in fiscal Q4 2023 to 17.83% in fiscal Q3 2024 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in two of the last eight quarters, with an average year-over-year change of -0.89 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 40.28 percentage points in fiscal Q4 2024, against a drop of 43.21 percentage points in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 15.90% (Q1 2027), -3.77% (Q4 2026) and 11.36% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 59.22 Bn | 25.42 Bn | 4.80 Bn | 7.92% |
| 2 | Tapestry | 27.73 Bn | 23.69 Bn | 1.56 Bn | 23.57% |
| 3 | Ralph Lauren | 24.01 Bn | 15.93 Bn | 1.63 Bn | 16.58% |
| 4 | Lululemon Athletica | 12.77 Bn | 7.02 Bn | 1.46 Bn | 18.78% |
| 5 | Deckers Outdoor | 12.28 Bn | 5.48 Bn | 895.11 Mn | 26.30% |
| 6 | Levi Strauss | 9.33 Bn | 5.91 Bn | 1.07 Bn | 13.81% |
| 7 | V F | 8.24 Bn | 4.84 Bn | 1.49 Bn | 13.65% |
| 8 | Crocs | 7.62 Bn | 7.03 Bn | 689.73 Mn | 28.00% |
| 9 | Birkenstock Holding | 7.23 Bn | 5.55 Bn | 493.89 Mn | 28.22% |
| 10 | G Iii Apparel | 1.37 Bn | -139.56 Mn | 250.38 Mn | 1.95% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.95% |
| Apr 30, 2026 | 15.90% |
| Jan 31, 2026 | -3.77% |
| Oct 31, 2025 | 11.36% |
| Jul 31, 2025 | 2.66% |
| Apr 30, 2025 | 1.45% |
| Jan 31, 2025 | 8.55% |
| Oct 31, 2024 | 15.31% |
| Jul 31, 2024 | 6.43% |
| Apr 30, 2024 | 2.21% |
| Jan 31, 2024 | 6.05% |
| Oct 31, 2023 | 17.83% |
| Jul 31, 2023 | 4.77% |
| Apr 30, 2023 | 2.52% |
| Jan 31, 2023 | -34.23% |
| Oct 31, 2022 | 9.02% |
| Jul 31, 2022 | 5.16% |
| Apr 30, 2022 | 7.92% |
| Jan 31, 2022 | 8.98% |
| Oct 31, 2021 | 15.57% |
G Iii Apparel Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=GIII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();