G Iii Apparel (GIII) Operating Expenses (2010 - 2026)
G Iii Apparel (GIII) reported Operating Expenses of $231.35 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 2.0% from $226.85 million a year earlier but down 9.4% from the prior quarter.
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Analysis
G Iii Apparel (GIII) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, G Iii Apparel's Operating Expenses came in at $1.01 billion, up 4.6% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $1 billion, up 1.1% from FY2025.
- Operating Expenses has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 9.4% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $992.01 million in FY2025 (+4.8%), $946.22 million in FY2024 (+10.5%), $856.65 million in FY2023 (+27.6%) and $671.62 million in FY2022 (+5.1%).
- Five-year quarterly Operating Expenses spans a low of $177.21 million in fiscal Q4 2022 and a high of $260.43 million in fiscal Q3 2026.
- Year over year, Operating Expenses has now increased in each of the last four quarters, with growth averaging 4.5% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q3 2023 (growth of 31.5%); the low point was fiscal Q2 2025 (a decline of 4.3%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $255.32 million (Q1 2027), $259.69 million (Q4 2026) and $260.43 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.74 Bn | 21.94 Bn | 4.80 Bn | 3.91 Bn |
| 2 | Tapestry | 23.60 Bn | 19.56 Bn | 1.56 Bn | 1.12 Bn |
| 3 | Ralph Lauren | 22.89 Bn | 14.99 Bn | 1.44 Bn | 1.10 Bn |
| 4 | Deckers Outdoor | 12.31 Bn | 5.19 Bn | - | - |
| 5 | Lululemon Athletica | 10.93 Bn | 5.18 Bn | 1.46 Bn | 1.01 Bn |
| 6 | Levi Strauss | 8.10 Bn | 4.68 Bn | 1.07 Bn | 843.50 Mn |
| 7 | V F | 6.75 Bn | 3.37 Bn | 917.04 Mn | 1.75 Bn |
| 8 | Gildan Activewear | 6.45 Bn | 5.37 Bn | 459.76 Mn | 283.86 Mn |
| 9 | Birkenstock Holding | 6.05 Bn | 4.37 Bn | 493.89 Mn | 37.80 Mn |
| 10 | G Iii Apparel | 1.21 Bn | -305.76 Mn | 250.38 Mn | 231.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 231.35 Mn |
| Apr 30, 2026 | 255.32 Mn |
| Jan 31, 2026 | 259.69 Mn |
| Oct 31, 2025 | 260.43 Mn |
| Jul 31, 2025 | 226.85 Mn |
| Apr 30, 2025 | 231.50 Mn |
| Jan 31, 2025 | 244.92 Mn |
| Oct 31, 2024 | 259.24 Mn |
| Jul 31, 2024 | 229.03 Mn |
| Apr 30, 2024 | 236.62 Mn |
| Jan 31, 2024 | 220.75 Mn |
| Oct 31, 2023 | 236.31 Mn |
| Jul 31, 2023 | 239.21 Mn |
| Apr 30, 2023 | 227.96 Mn |
| Jan 31, 2023 | 216.80 Mn |
| Oct 31, 2022 | 239.89 Mn |
| Jul 31, 2022 | 191.01 Mn |
| Apr 30, 2022 | 185.41 Mn |
| Jan 31, 2022 | 177.21 Mn |
| Oct 31, 2021 | 182.36 Mn |
API Access
G Iii Apparel Operating Expenses 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=operating-expenses&ticker=GIII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();