G Iii Apparel (GIII) Long-Term Deferred Tax (2010 - 2026)
G Iii Apparel (GIII) posted Long-Term Deferred Tax of $9.86 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 37.4% from $15.76 million a year earlier but up 37.0% from the prior quarter.
G Iii Apparel (GIII) Long-Term Deferred Tax (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), G Iii Apparel's Long-Term Deferred Tax came in at $7.51 million, down 51.4% from FY2025.
- Annual Long-Term Deferred Tax has declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 8.1% (FY2021 to FY2026).
- In prior fiscal years, G Iii Apparel's Long-Term Deferred Tax was $15.44 million in FY2025 (-19.8%), $19.25 million in FY2024 (-27.1%), $26.39 million in FY2023 (+641.5%) and $3.56 million in FY2022 (-30.2%).
- Quarterly Long-Term Deferred Tax has run from a low of $1.65 million in fiscal Q1 2023 to a high of $26.96 million in fiscal Q3 2025 over five years.
- On a year-over-year basis, Long-Term Deferred Tax has declined in each of the last seven quarters, with an average decline of 35.2% over the last eight quarters.
- The strongest year-over-year quarter for Long-Term Deferred Tax in the past five years was fiscal Q4 2023, with growth of 641.5%; the weakest was fiscal Q3 2022, with a decline of 74.2%.
- According to Business Quant data, Long-Term Deferred Tax for the three prior fiscal quarters was $7.2 million (Q1 2027), $7.51 million (Q4 2026) and $15.46 million (Q3 2026).
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
| Date | Value |
|---|---|
| Jul 31, 2026 | 9.86 Mn |
| Apr 30, 2026 | 7.20 Mn |
| Jan 31, 2026 | 7.51 Mn |
| Oct 31, 2025 | 15.46 Mn |
| Jul 31, 2025 | 15.76 Mn |
| Apr 30, 2025 | 15.48 Mn |
| Jan 31, 2025 | 15.44 Mn |
| Oct 31, 2024 | 26.96 Mn |
| Jul 31, 2024 | 26.19 Mn |
| Apr 30, 2024 | 25.58 Mn |
| Jan 31, 2024 | 19.25 Mn |
| Oct 31, 2023 | 26.39 Mn |
| Jul 31, 2023 | 26.43 Mn |
| Apr 30, 2023 | 26.39 Mn |
| Jan 31, 2023 | 26.39 Mn |
| Oct 31, 2022 | 8.97 Mn |
| Jul 31, 2022 | 9.41 Mn |
| Apr 30, 2022 | 1.65 Mn |
| Jan 31, 2022 | 3.56 Mn |
| Oct 31, 2021 | 4.68 Mn |
G Iii Apparel Long-Term Deferred Tax 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=long-term-deferred-tax&ticker=GIII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-deferred-tax", "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=long-term-deferred-tax&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();