G Iii Apparel (GIII) Return on Assets [ROA] (2011 - 2026)
G Iii Apparel (GIII) reported Return on Assets [ROA] of 5.07% for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 2.06 percentage points from 7.14% a year earlier but up 0.22 percentage points from the prior quarter.
G Iii Apparel (GIII) Return on Assets [ROA] (2011 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), G Iii Apparel posted Return on Assets [ROA] of 2.64%, down 4.84 percentage points from FY2025.
- Return on Assets [ROA] has a five-year change of +1.70 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Assets [ROA] came in at 7.49% in FY2025 (+1.01 pp), 6.48% in FY2024 (+11.41 pp), -4.93% in FY2023 (-12.65 pp) and 7.73% in FY2022 (+6.79 pp).
- Five-year quarterly Return on Assets [ROA] spans a low of -6.97% in fiscal Q2 2024 and a high of 7.98% in fiscal Q1 2026.
- Year over year, Return on Assets [ROA] has now declined in each of the last four quarters, with an average year-over-year change of +0.24 percentage points over the last eight quarters.
- The high point for year-over-year Return on Assets [ROA] in five years was fiscal Q2 2025 (a gain of 14.00 percentage points); the low point was fiscal Q2 2024 (a drop of 14.60 percentage points).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at 4.85% (Q1 2027), 2.51% (Q4 2026) and 5.43% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 8.24% |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 23.22% |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 12.77% |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 16.67% |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 9.68% |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 0.77% |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 6.20% |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 13.64% |
| 10 | G Iii Apparel | 1.16 Bn | -351.32 Mn | 250.38 Mn | 5.07% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 5.07% |
| Apr 30, 2026 | 4.85% |
| Jan 31, 2026 | 2.51% |
| Oct 31, 2025 | 5.43% |
| Jul 31, 2025 | 7.14% |
| Apr 30, 2025 | 7.98% |
| Jan 31, 2025 | 7.34% |
| Oct 31, 2024 | 6.30% |
| Jul 31, 2024 | 7.04% |
| Apr 30, 2024 | 6.75% |
| Jan 31, 2024 | 6.44% |
| Oct 31, 2023 | -4.26% |
| Jul 31, 2023 | -6.97% |
| Apr 30, 2023 | -6.15% |
| Jan 31, 2023 | -4.48% |
| Oct 31, 2022 | 5.51% |
| Jul 31, 2022 | 7.63% |
| Apr 30, 2022 | 7.48% |
| Jan 31, 2022 | 7.32% |
| Oct 31, 2021 | 6.31% |
G Iii Apparel Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=GIII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();