G Iii Apparel (GIII) Intangibles (2010 - 2026)
G Iii Apparel (GIII) posted Intangibles of $631.82 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 1.1% from $638.54 million a year earlier and down 0.3% from the prior quarter.
G Iii Apparel (GIII) Intangibles (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), G Iii Apparel's Intangibles came in at $638.91 million, up 4.9% from FY2025.
- Annual Intangibles shows a five-year compound annual growth rate of 78.7% (FY2021 to FY2026).
- In prior fiscal years, G Iii Apparel's Intangibles was $608.91 million in FY2025 (-3.4%), $630.33 million in FY2024 (+0.3%), $628.16 million in FY2023 (+38.6%) and $453.33 million in FY2022.
- The fiscal Q2 2027 figure stands as the lowest quarterly Intangibles since fiscal Q1 2026.
- On a year-over-year basis, Intangibles increased in five of the last eight quarters, with growth averaging 0.8%.
- The strongest year-over-year quarter for Intangibles in the past five years was fiscal Q2 2023, with growth of 40.8%; the weakest was fiscal Q4 2025, with a decline of 3.4%.
- According to Business Quant data, Intangibles for the three prior fiscal quarters was $633.87 million (Q1 2027), $638.91 million (Q4 2026) and $638.58 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 259.00 Mn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 716.50 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 90.80 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | 15.64 Mn |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 2.53 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 192.80 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 2.99 Bn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 1.84 Bn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 1.32 Bn |
| 10 | G Iii Apparel | 1.16 Bn | -351.32 Mn | 250.38 Mn | 631.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 631.82 Mn |
| Apr 30, 2026 | 633.87 Mn |
| Jan 31, 2026 | 638.91 Mn |
| Oct 31, 2025 | 638.58 Mn |
| Jul 31, 2025 | 638.54 Mn |
| Apr 30, 2025 | 618.66 Mn |
| Jan 31, 2025 | 608.91 Mn |
| Oct 31, 2024 | 633.51 Mn |
| Jul 31, 2024 | 623.52 Mn |
| Apr 30, 2024 | 624.98 Mn |
| Jan 31, 2024 | 630.33 Mn |
| Oct 31, 2023 | 625.53 Mn |
| Jul 31, 2023 | 632.67 Mn |
| Apr 30, 2023 | 632.22 Mn |
| Jan 31, 2023 | 628.16 Mn |
| Oct 31, 2022 | 607.53 Mn |
| Jul 31, 2022 | 622.18 Mn |
| Apr 30, 2022 | 451.97 Mn |
| Jan 31, 2022 | 453.33 Mn |
| Oct 31, 2021 | 450.25 Mn |
G Iii Apparel Intangibles 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=intangibles&ticker=GIII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();