G Iii Apparel (GIII) Accumulated Expenses (2010 - 2026)
G Iii Apparel's Accumulated Expenses was $131.42 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 14.2% from $115.12 million a year earlier and up 12.1% from the prior quarter.
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Analysis
G Iii Apparel (GIII) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Accumulated Expenses at G Iii Apparel came in at $138.49 million, up 0.5% from FY2025.
- Accumulated Expenses shows a five-year compound annual growth rate of 6.1% (FY2021 to FY2026).
- In earlier fiscal years, Accumulated Expenses was $137.79 million in FY2025 (-2.0%), $140.54 million in FY2024 (+21.6%), $115.59 million in FY2023 (-9.8%) and $128.12 million in FY2022 (+24.7%).
- Quarterly Accumulated Expenses has moved between $94.36 million (fiscal Q1 2023) and $160.06 million (fiscal Q3 2025) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for three straight quarters, with growth averaging 1.6% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q4 2022 (growth of 24.7%); the worst was fiscal Q2 2026 (a decline of 13.1%).
- Per Business Quant data, GIII's Accumulated Expenses in the three fiscal quarters before Q2 2027 was $117.27 million (Q1 2027), $138.49 million (Q4 2026) and $152.11 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn |
| 10 | G Iii Apparel | 1.16 Bn | -351.32 Mn | 250.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 131.42 Mn |
| Apr 30, 2026 | 117.27 Mn |
| Jan 31, 2026 | 138.49 Mn |
| Oct 31, 2025 | 152.11 Mn |
| Jul 31, 2025 | 115.12 Mn |
| Apr 30, 2025 | 100.49 Mn |
| Jan 31, 2025 | 137.79 Mn |
| Oct 31, 2024 | 160.06 Mn |
| Jul 31, 2024 | 132.52 Mn |
| Apr 30, 2024 | 103.85 Mn |
| Jan 31, 2024 | 140.54 Mn |
| Oct 31, 2023 | 153.20 Mn |
| Jul 31, 2023 | 146.93 Mn |
| Apr 30, 2023 | 99.09 Mn |
| Jan 31, 2023 | 115.59 Mn |
| Oct 31, 2022 | 150.35 Mn |
| Jul 31, 2022 | 130.81 Mn |
| Apr 30, 2022 | 94.36 Mn |
| Jan 31, 2022 | 128.12 Mn |
| Oct 31, 2021 | 141.46 Mn |
API Access
G Iii Apparel Accumulated 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=accumulated-expenses&ticker=GIII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();