G Iii Apparel (GIII) Cash & Equivalents (2010 - 2026)
G Iii Apparel's Cash & Equivalents came in at $529.19 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 75.4% from $301.78 million a year earlier and up 34.2% from the prior quarter.
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Analysis
G Iii Apparel (GIII) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), G Iii Apparel's Cash & Equivalents was $406.66 million, up 124.1% from FY2025.
- Cash & Equivalents carries a five-year compound annual growth rate of 2.9% (FY2021 to FY2026).
- Going back by fiscal year, Cash & Equivalents was $181.44 million in FY2025 (-64.3%), $507.83 million in FY2024 (+165.0%), $191.65 million in FY2023 (-58.9%) and $465.98 million in FY2022 (+32.4%).
- The fiscal Q2 2027 figure represents the highest quarterly Cash & Equivalents since fiscal Q1 2021.
- Year-over-year, Cash & Equivalents has increased for four consecutive quarters, with growth averaging 17.6% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q4 2024 (growth of 165.0%), and the weakest in fiscal Q2 2023 (a decline of 70.4%).
- Business Quant data shows GIII's Cash & Equivalents at $394.22 million (Q1 2027), $406.66 million (Q4 2026) and $184.06 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 6.90 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 974.70 Mn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 1.72 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | 1.91 Bn |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 1.39 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 849.30 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 268.30 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 806.25 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 170.28 Mn |
| 10 | G Iii Apparel | 1.17 Bn | -340.60 Mn | 250.38 Mn | 529.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 529.19 Mn |
| Apr 30, 2026 | 394.22 Mn |
| Jan 31, 2026 | 406.66 Mn |
| Oct 31, 2025 | 184.06 Mn |
| Jul 31, 2025 | 301.78 Mn |
| Apr 30, 2025 | 257.79 Mn |
| Jan 31, 2025 | 181.44 Mn |
| Oct 31, 2024 | 104.69 Mn |
| Jul 31, 2024 | 414.79 Mn |
| Apr 30, 2024 | 508.43 Mn |
| Jan 31, 2024 | 507.83 Mn |
| Oct 31, 2023 | 197.39 Mn |
| Jul 31, 2023 | 197.74 Mn |
| Apr 30, 2023 | 289.73 Mn |
| Jan 31, 2023 | 191.65 Mn |
| Oct 31, 2022 | 150.72 Mn |
| Jul 31, 2022 | 150.98 Mn |
| Apr 30, 2022 | 438.41 Mn |
| Jan 31, 2022 | 465.98 Mn |
| Oct 31, 2021 | 279.56 Mn |
API Access
G Iii Apparel Cash & Equivalents 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=cash-and-equivalents&ticker=GIII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();