G Iii Apparel (GIII) Other Accumulated Expenses (2018 - 2026)
G Iii Apparel (GIII) posted Other Accumulated Expenses of $375,000 for fiscal Q1 2027 (quarter ended Apr 30, 2026), down 46.7% from $703,000 a year earlier and down 0.3% from the prior quarter.
G Iii Apparel (GIII) Other Accumulated Expenses (2018 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), G Iii Apparel's Other Accumulated Expenses came in at $376,000, down 99.5% from FY2025.
- Annual Other Accumulated Expenses has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -65.7% (FY2021 to FY2026).
- In prior fiscal years, G Iii Apparel's Other Accumulated Expenses was $68.83 million in FY2025 (-15.4%), $81.33 million in FY2024 (-17.6%), $98.76 million in FY2023 (+26.6%) and $78.01 million in FY2022 (-1.2%).
- The fiscal Q1 2027 figure stands as the lowest quarterly Other Accumulated Expenses since fiscal Q1 2025.
- On a year-over-year basis, Other Accumulated Expenses has declined in each of the last four quarters, with growth averaging 38.9% over the last eight quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was fiscal Q1 2026, with growth of 398.6%; the weakest was fiscal Q4 2026, with a decline of 99.5%.
- According to Business Quant data, Other Accumulated Expenses for the three prior fiscal quarters was $376,000 (Q4 2026), $418,000 (Q3 2026) and $419,000 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn |
| 10 | G Iii Apparel | 1.17 Bn | -340.60 Mn | 250.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 375,000.00 |
| Jan 31, 2026 | 376,000.00 |
| Oct 31, 2025 | 418,000.00 |
| Jul 31, 2025 | 419,000.00 |
| Apr 30, 2025 | 703,000.00 |
| Jan 31, 2025 | 68.83 Mn |
| Oct 31, 2024 | 571,000.00 |
| Jul 31, 2024 | 734,000.00 |
| Apr 30, 2024 | 141,000.00 |
| Jan 31, 2024 | 81.33 Mn |
| Oct 31, 2023 | 330,000.00 |
| Jul 31, 2023 | 430,000.00 |
| Apr 30, 2023 | 863,000.00 |
| Jan 31, 2023 | 98.76 Mn |
| Oct 31, 2022 | 933,000.00 |
| Jul 31, 2022 | 1.54 Mn |
| Apr 30, 2022 | 1.36 Mn |
| Jan 31, 2022 | 78.01 Mn |
| Oct 31, 2021 | 2.23 Mn |
| Jul 31, 2021 | 1.67 Mn |
G Iii Apparel Other 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=other-accumulated-expenses&ticker=GIII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();