G Iii Apparel (GIII) EBIT (2010 - 2026)
G Iii Apparel (GIII) reported EBIT of $10.83 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 33.5% from $16.3 million a year earlier and down 87.3% from the prior quarter.
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Analysis
G Iii Apparel (GIII) EBIT (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, G Iii Apparel's EBIT came in at $179.28 million, down 31.8% year-over-year; for FY2026 (ended Jan 31, 2026), it was $107.99 million, down 63.2% from FY2025.
- EBIT has a five-year compound annual growth rate of 5.4% (FY2021 to FY2026).
- By fiscal year, EBIT came in at $293.08 million in FY2025 (+3.4%), $283.34 million in FY2024, -$109.46 million in FY2023 and $311.09 million in FY2022 (+275.5%).
- Five-year quarterly EBIT spans a low of -$292.47 million in fiscal Q4 2023 and a high of $190.29 million in fiscal Q3 2024.
- Year over year, EBIT gained in two of the last seven quarters, with growth averaging 112.0%.
- The high point for year-over-year EBIT in five years was fiscal Q1 2027 (growth of 905.6%); the low point was fiscal Q1 2024 (a decline of 72.0%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $85.24 million (Q1 2027), -$29.09 million (Q4 2026) and $112.3 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.18 Bn | 22.38 Bn | 4.80 Bn | 888.00 Mn |
| 2 | Tapestry | 23.99 Bn | 19.95 Bn | 1.56 Bn | 442.30 Mn |
| 3 | Ralph Lauren | 22.76 Bn | 14.85 Bn | 1.44 Bn | 342.40 Mn |
| 4 | Deckers Outdoor | 12.61 Bn | 5.48 Bn | - | - |
| 5 | Lululemon Athletica | 11.29 Bn | 5.54 Bn | 1.46 Bn | 453.65 Mn |
| 6 | Levi Strauss | 8.02 Bn | 4.60 Bn | 1.07 Bn | 222.30 Mn |
| 7 | V F | 6.86 Bn | 3.48 Bn | 917.04 Mn | -83.07 Mn |
| 8 | Gildan Activewear | 6.55 Bn | 5.47 Bn | 459.76 Mn | 175.90 Mn |
| 9 | Birkenstock Holding | 6.11 Bn | 4.43 Bn | 493.89 Mn | 236.02 Mn |
| 10 | G Iii Apparel | 1.21 Bn | -303.22 Mn | 250.38 Mn | 10.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 10.83 Mn |
| Apr 30, 2026 | 85.24 Mn |
| Jan 31, 2026 | -29.09 Mn |
| Oct 31, 2025 | 112.30 Mn |
| Jul 31, 2025 | 16.30 Mn |
| Apr 30, 2025 | 8.48 Mn |
| Jan 31, 2025 | 71.77 Mn |
| Oct 31, 2024 | 166.34 Mn |
| Jul 31, 2024 | 41.46 Mn |
| Apr 30, 2024 | 13.50 Mn |
| Jan 31, 2024 | 46.31 Mn |
| Oct 31, 2023 | 190.29 Mn |
| Jul 31, 2023 | 31.49 Mn |
| Apr 30, 2023 | 15.26 Mn |
| Jan 31, 2023 | -292.47 Mn |
| Oct 31, 2022 | 97.21 Mn |
| Jul 31, 2022 | 31.26 Mn |
| Apr 30, 2022 | 54.54 Mn |
| Jan 31, 2022 | 67.21 Mn |
| Oct 31, 2021 | 158.13 Mn |
API Access
G Iii Apparel EBIT 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=ebit&ticker=GIII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();