G Iii Apparel (GIII) Tax Provisions (2010 - 2026)
G Iii Apparel (GIII) reported Tax Provisions of -$6.12 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), compared with $4.96 million a year earlier.
G Iii Apparel (GIII) Tax Provisions (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, G Iii Apparel's Tax Provisions came in at $47.59 million, down 35.2% year-over-year; for FY2026 (ended Jan 31, 2026), it was $43.32 million, down 43.4% from FY2025.
- Tax Provisions has a five-year compound annual growth rate of 28.8% (FY2021 to FY2026).
- By fiscal year, Tax Provisions came in at $76.57 million in FY2025 (+16.3%), $65.86 million in FY2024, -$3.79 million in FY2023 and $70.88 million in FY2022 (+480.8%).
- The fiscal Q2 2027 figure ranks as the lowest quarterly Tax Provisions since fiscal Q4 2023.
- Year over year, Tax Provisions gained in three of the last seven quarters, with growth averaging 55.0%.
- The high point for year-over-year Tax Provisions in five years was fiscal Q1 2027 (growth of 413.0%); the low point was fiscal Q4 2026 (a decline of 90.6%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $19.07 million (Q1 2027), $1.75 million (Q4 2026) and $32.89 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 260.00 Mn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 81.00 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 80.00 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 138.13 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 27.40 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 16.21 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | -58.65 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 59.04 Mn |
| 10 | G Iii Apparel | 1.16 Bn | -351.32 Mn | 250.38 Mn | -6.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -6.12 Mn |
| Apr 30, 2026 | 19.07 Mn |
| Jan 31, 2026 | 1.75 Mn |
| Oct 31, 2025 | 32.89 Mn |
| Jul 31, 2025 | 4.96 Mn |
| Apr 30, 2025 | 3.72 Mn |
| Jan 31, 2025 | 18.66 Mn |
| Oct 31, 2024 | 46.15 Mn |
| Jul 31, 2024 | 9.45 Mn |
| Apr 30, 2024 | 2.31 Mn |
| Jan 31, 2024 | 10.21 Mn |
| Oct 31, 2023 | 48.76 Mn |
| Jul 31, 2023 | 5.95 Mn |
| Apr 30, 2023 | 945,000.00 |
| Jan 31, 2023 | -43.28 Mn |
| Oct 31, 2022 | 17.52 Mn |
| Jul 31, 2022 | 12.97 Mn |
| Apr 30, 2022 | 9.00 Mn |
| Jan 31, 2022 | 11.18 Mn |
| Oct 31, 2021 | 40.20 Mn |
G Iii Apparel Tax Provisions 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=tax-provisions&ticker=GIII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();