G Iii Apparel (GIII) Current Taxes (2010 - 2026)
G Iii Apparel (GIII) recorded Current Taxes of $14.92 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 290.7% from $3.82 million a year earlier and up 7.6% from the prior quarter.
G Iii Apparel (GIII) Current Taxes (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), G Iii Apparel reported Current Taxes of $7.14 million, down 33.2% from FY2025.
- Annual Current Taxes has declined for three straight fiscal years, with a five-year compound annual growth rate of -9.7% (FY2021 to FY2026).
- Across earlier fiscal years, Current Taxes came in at $10.69 million in FY2025 (-27.2%), $14.68 million in FY2024 (-1.3%), $14.88 million in FY2023 (+48.8%) and $10 million in FY2022 (-15.7%).
- Quarterly Current Taxes has ranged from $3.82 million in fiscal Q2 2026 to $46.38 million in fiscal Q3 2024 over the past five years.
- On a year-over-year basis, Current Taxes rose in three of the last eight quarters, with growth averaging 37.4%.
- Peak year-over-year performance for Current Taxes in the last five years was growth of 347.9% in fiscal Q3 2022, against a decline of 51.7% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $13.86 million (Q1 2027), $7.14 million (Q4 2026) and $34.86 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 377.00 Mn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 78.90 Mn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | 36.48 Mn |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 67.38 Mn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | - |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 31.51 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 81.20 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 69.31 Mn |
| 10 | G Iii Apparel | 1.16 Bn | -350.90 Mn | 250.38 Mn | 14.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 14.92 Mn |
| Apr 30, 2026 | 13.86 Mn |
| Jan 31, 2026 | 7.14 Mn |
| Oct 31, 2025 | 34.86 Mn |
| Jul 31, 2025 | 3.82 Mn |
| Apr 30, 2025 | 10.19 Mn |
| Jan 31, 2025 | 10.69 Mn |
| Oct 31, 2024 | 45.73 Mn |
| Jul 31, 2024 | 4.48 Mn |
| Apr 30, 2024 | 5.90 Mn |
| Jan 31, 2024 | 14.68 Mn |
| Oct 31, 2023 | 46.38 Mn |
| Jul 31, 2023 | 8.84 Mn |
| Apr 30, 2023 | 8.23 Mn |
| Jan 31, 2023 | 14.88 Mn |
| Oct 31, 2022 | 26.96 Mn |
| Jul 31, 2022 | 12.64 Mn |
| Apr 30, 2022 | 17.06 Mn |
| Jan 31, 2022 | 10.00 Mn |
| Oct 31, 2021 | 38.97 Mn |
G Iii Apparel Current Taxes 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=current-taxes&ticker=GIII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-taxes", "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=current-taxes&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();