G Iii Apparel (GIII) Return on Capital Employed [ROCE] (2011 - 2026)
G Iii Apparel (GIII) reported Return on Capital Employed [ROCE] of 8.57% for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 5.40 percentage points from 13.98% a year earlier and down 0.05 percentage points from the prior quarter.
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Analysis
G Iii Apparel (GIII) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), G Iii Apparel posted Return on Capital Employed [ROCE] of 5.40%, down 8.75 percentage points from FY2025.
- Return on Capital Employed [ROCE] has a five-year change of +1.45 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Capital Employed [ROCE] came in at 14.15% in FY2025 (+1.29 pp), 12.86% in FY2024 (+17.96 pp), -5.10% in FY2023 (-20.06 pp) and 14.97% in FY2022 (+11.02 pp).
- Five-year quarterly Return on Capital Employed [ROCE] spans a low of -7.48% in fiscal Q2 2024 and a high of 14.60% in fiscal Q2 2023.
- Year over year, Return on Capital Employed [ROCE] has now declined in each of the last five quarters, with an average year-over-year change of -0.55 percentage points over the last eight quarters.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was fiscal Q2 2025 (a gain of 21.47 percentage points); the low point was fiscal Q2 2024 (a drop of 22.08 percentage points).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at 8.62% (Q1 2027), 5.05% (Q4 2026) and 10.16% (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 14.08% |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 38.80% |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 21.43% |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 29.51% |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 14.72% |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 5.97% |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 10.20% |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 23.21% |
| 10 | G Iii Apparel | 1.17 Bn | -340.60 Mn | 250.38 Mn | 8.57% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 8.57% |
| Apr 30, 2026 | 8.62% |
| Jan 31, 2026 | 5.05% |
| Oct 31, 2025 | 10.16% |
| Jul 31, 2025 | 13.98% |
| Apr 30, 2025 | 14.29% |
| Jan 31, 2025 | 13.81% |
| Oct 31, 2024 | 12.51% |
| Jul 31, 2024 | 13.99% |
| Apr 30, 2024 | 12.71% |
| Jan 31, 2024 | 12.75% |
| Oct 31, 2023 | -2.64% |
| Jul 31, 2023 | -7.48% |
| Apr 30, 2023 | -7.00% |
| Jan 31, 2023 | -4.52% |
| Oct 31, 2022 | 9.84% |
| Jul 31, 2022 | 14.60% |
| Apr 30, 2022 | 13.99% |
| Jan 31, 2022 | 13.99% |
| Oct 31, 2021 | 12.96% |
API Access
G Iii Apparel Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=GIII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();