G Iii Apparel (GIII) Enterprise Value (2010 - 2026)
G Iii Apparel (GIII) reported Enterprise Value of $1.03 billion for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 48.6% from $694.51 million a year earlier and up 12.0% from the prior quarter.
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Analysis
G Iii Apparel (GIII) Enterprise Value (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, G Iii Apparel's Enterprise Value came in at $47 million, down 68.8% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $831.59 million, down 30.0% from FY2025.
- Enterprise Value has a five-year compound annual growth rate of -2.8% (FY2021 to FY2026).
- By fiscal year, Enterprise Value came in at $1.19 billion in FY2025 (+38.8%), $856.5 million in FY2024 (+44.2%), $594.08 million in FY2023 (-29.0%) and $836.35 million in FY2022 (-12.6%).
- The fiscal Q2 2027 figure ranks as the highest quarterly Enterprise Value since fiscal Q4 2025.
- Year over year, Enterprise Value gained in five of the last eight quarters, with growth averaging 8.7%.
- The high point for year-over-year Enterprise Value in five years was fiscal Q3 2022 (growth of 121.7%); the low point was fiscal Q1 2024 (a decline of 49.3%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $921.7 million (Q1 2027), $831.59 million (Q4 2026) and $948.72 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 55.70 Bn | 21.90 Bn | 4.80 Bn |
| 2 | Tapestry | 23.51 Bn | 19.47 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 22.86 Bn | 14.96 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 12.32 Bn | 5.19 Bn | - |
| 5 | Lululemon Athletica | 10.92 Bn | 5.17 Bn | 1.46 Bn |
| 6 | Levi Strauss | 8.09 Bn | 4.67 Bn | 1.07 Bn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn |
| 8 | Gildan Activewear | 6.45 Bn | 5.37 Bn | 459.76 Mn |
| 9 | Birkenstock Holding | 6.04 Bn | 4.36 Bn | 493.89 Mn |
| 10 | G Iii Apparel | 1.21 Bn | -307.88 Mn | 250.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.03 Bn |
| Apr 30, 2026 | 921.70 Mn |
| Jan 31, 2026 | 831.59 Mn |
| Oct 31, 2025 | 948.72 Mn |
| Jul 31, 2025 | 694.51 Mn |
| Apr 30, 2025 | 834.39 Mn |
| Jan 31, 2025 | 1.19 Bn |
| Oct 31, 2024 | 1.22 Bn |
| Jul 31, 2024 | 795.11 Mn |
| Apr 30, 2024 | 755.45 Mn |
| Jan 31, 2024 | 856.50 Mn |
| Oct 31, 2023 | 969.54 Mn |
| Jul 31, 2023 | 748.00 Mn |
| Apr 30, 2023 | 425.14 Mn |
| Jan 31, 2023 | 594.08 Mn |
| Oct 31, 2022 | 775.36 Mn |
| Jul 31, 2022 | 898.21 Mn |
| Apr 30, 2022 | 839.06 Mn |
| Jan 31, 2022 | 836.35 Mn |
| Oct 31, 2021 | 1.11 Bn |
API Access
G Iii Apparel Enterprise Value 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=enterprise-value&ticker=GIII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();