G Iii Apparel (GIII) Acquisitions (2011 - 2022)
G Iii Apparel's Acquisitions was $3.6 million in FY2024 (year ended Jan 31, 2024), down 97.9% from $168.59 million in FY2023.
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Analysis
G Iii Apparel (GIII) Acquisitions (2011 - 2022) Analysis & Trends
From FY2012 onward, G Iii Apparel has reported Acquisitions for 10 fiscal years.
- Acquisitions shows a five-year compound annual growth rate of -18.4% (FY2019 to FY2024).
- The FY2024 figure marks the lowest annual Acquisitions since FY2018.
- Per Business Quant data, Acquisitions in earlier fiscal years was $168.59 million in FY2023 (+574.4%), $25 million in FY2022 and $25 million in FY2020 (+151.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | - |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | - |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | - |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | - |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | -8.83 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | - |
| 10 | G Iii Apparel | 1.16 Bn | -350.90 Mn | 250.38 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2022 | 143.59 Mn |
| Apr 30, 2022 | 25.00 Mn |
| Apr 30, 2012 | 250,000.00 |
| Jan 31, 2012 | 300,000.00 |
| Oct 31, 2011 | 850,000.00 |
| Jul 31, 2011 | 1.15 Mn |
| Apr 30, 2011 | 1.35 Mn |
API Access
G Iii Apparel Acquisitions 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=acquisitions&ticker=GIII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();