G Iii Apparel (GIII) Prepaid Assets (2010 - 2026)
G Iii Apparel (GIII) recorded Prepaid Assets of $64.21 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 6.1% from $60.5 million a year earlier but down 66.5% from the prior quarter.
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Analysis
G Iii Apparel (GIII) Prepaid Assets (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), G Iii Apparel reported Prepaid Assets of $53.02 million, up 9.1% from FY2025.
- Annual Prepaid Assets has a five-year compound annual growth rate of -1.4% (FY2021 to FY2026).
- Across earlier fiscal years, Prepaid Assets came in at $48.59 million in FY2025 (-28.9%), $68.34 million in FY2024 (-3.3%), $70.65 million in FY2023 (+29.2%) and $54.7 million in FY2022 (-3.7%).
- Quarterly Prepaid Assets has ranged from $46.24 million in fiscal Q3 2026 to $191.51 million in fiscal Q1 2027 over the past five years.
- On a year-over-year basis, Prepaid Assets has increased for three consecutive quarters, with growth averaging 24.0% over the last eight quarters.
- Peak year-over-year performance for Prepaid Assets in the last five years was growth of 277.7% in fiscal Q1 2027, against a decline of 28.9% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $191.51 million (Q1 2027), $53.02 million (Q4 2026) and $46.24 million (Q3 2026).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 64.21 Mn |
| Apr 30, 2026 | 191.51 Mn |
| Jan 31, 2026 | 53.02 Mn |
| Oct 31, 2025 | 46.24 Mn |
| Jul 31, 2025 | 60.50 Mn |
| Apr 30, 2025 | 50.71 Mn |
| Jan 31, 2025 | 48.59 Mn |
| Oct 31, 2024 | 55.18 Mn |
| Jul 31, 2024 | 79.58 Mn |
| Apr 30, 2024 | 68.14 Mn |
| Jan 31, 2024 | 68.34 Mn |
| Oct 31, 2023 | 58.78 Mn |
| Jul 31, 2023 | 72.14 Mn |
| Apr 30, 2023 | 69.43 Mn |
| Jan 31, 2023 | 70.65 Mn |
| Oct 31, 2022 | 50.59 Mn |
| Jul 31, 2022 | 83.95 Mn |
| Apr 30, 2022 | 53.43 Mn |
| Jan 31, 2022 | 54.70 Mn |
| Oct 31, 2021 | 53.53 Mn |
API Access
G Iii Apparel Prepaid Assets 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=prepaid-assets&ticker=GIII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();