G Iii Apparel (GIII) EBT (2010 - 2026)
G Iii Apparel (GIII) posted EBT of $14.09 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 11.4% from $15.9 million a year earlier and down 83.5% from the prior quarter.
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Analysis
G Iii Apparel (GIII) EBT (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, EBT at G Iii Apparel was $182.99 million, down 28.4% year-over-year; for FY2026 (ended Jan 31, 2026), it was $110.67 million, down 59.0% from FY2025.
- Annual EBT shows a five-year compound annual growth rate of 25.4% (FY2021 to FY2026).
- In prior fiscal years, G Iii Apparel's EBT was $269.86 million in FY2025 (+12.2%), $240.6 million in FY2024, -$138.17 million in FY2023 and $270.98 million in FY2022 (+658.5%).
- Quarterly EBT has run from a low of -$305.2 million in fiscal Q4 2023 to a high of $176.14 million in fiscal Q3 2024 over five years.
- On a year-over-year basis, EBT increased in three of the last seven quarters, with growth averaging 95.2%.
- The strongest year-over-year quarter for EBT in the past five years was fiscal Q1 2027, with growth of 645.9%; the weakest was fiscal Q1 2024, with a decline of 89.7%.
- According to Business Quant data, EBT for the three prior fiscal quarters was $85.61 million (Q1 2027), -$30.19 million (Q4 2026) and $113.48 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 1.33 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 428.80 Mn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 342.20 Mn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 467.35 Mn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 122.20 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 106.61 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 186.03 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 263.92 Mn |
| 10 | G Iii Apparel | 1.16 Bn | -350.90 Mn | 250.38 Mn | 14.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 14.09 Mn |
| Apr 30, 2026 | 85.61 Mn |
| Jan 31, 2026 | -30.19 Mn |
| Oct 31, 2025 | 113.48 Mn |
| Jul 31, 2025 | 15.90 Mn |
| Apr 30, 2025 | 11.48 Mn |
| Jan 31, 2025 | 67.45 Mn |
| Oct 31, 2024 | 160.92 Mn |
| Jul 31, 2024 | 33.64 Mn |
| Apr 30, 2024 | 7.86 Mn |
| Jan 31, 2024 | 38.19 Mn |
| Oct 31, 2023 | 176.14 Mn |
| Jul 31, 2023 | 22.19 Mn |
| Apr 30, 2023 | 4.09 Mn |
| Jan 31, 2023 | -305.20 Mn |
| Oct 31, 2022 | 78.37 Mn |
| Jul 31, 2022 | 49.03 Mn |
| Apr 30, 2022 | 39.63 Mn |
| Jan 31, 2022 | 59.33 Mn |
| Oct 31, 2021 | 146.67 Mn |
API Access
G Iii Apparel EBT 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=ebt&ticker=GIII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();