G Iii Apparel (GIII) Finished Goods (2011 - 2013)
G Iii Apparel (GIII) recorded Finished Goods of $229.27 million in fiscal Q1 2014 (quarter ended Apr 30, 2013), up 15.4% from $198.62 million a year earlier but down 15.4% from the prior quarter.
G Iii Apparel (GIII) Finished Goods (2011 - 2013) Analysis & Trends
At the end of FY2013 (ended Jan 31, 2013), G Iii Apparel reported Finished Goods of $271.16 million, up 10.7% from FY2012.
- Across earlier fiscal years, Finished Goods came in at $244.88 million in FY2012.
- Quarterly Finished Goods has ranged from $198.62 million in fiscal Q1 2013 to $326.42 million in fiscal Q2 2013 over the past five years.
- On a year-over-year basis, Finished Goods has increased for four consecutive quarters, with growth averaging 10.9% over the last four quarters.
- Per Business Quant, the preceding three fiscal quarters came in at $271.16 million (Q4 2013), $299.8 million (Q3 2013) and $326.42 million (Q2 2013).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 59.22 Bn | 25.42 Bn | 4.80 Bn |
| 2 | Tapestry | 27.73 Bn | 23.69 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 24.01 Bn | 15.93 Bn | 1.63 Bn |
| 4 | Lululemon Athletica | 12.77 Bn | 7.02 Bn | 1.46 Bn |
| 5 | Deckers Outdoor | 12.28 Bn | 5.48 Bn | 895.11 Mn |
| 6 | Levi Strauss | 9.33 Bn | 5.91 Bn | 1.07 Bn |
| 7 | V F | 8.24 Bn | 4.84 Bn | 1.49 Bn |
| 8 | Crocs | 7.62 Bn | 7.03 Bn | 689.73 Mn |
| 9 | Birkenstock Holding | 7.23 Bn | 5.55 Bn | 493.89 Mn |
| 10 | G Iii Apparel | 1.37 Bn | -139.56 Mn | 250.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2013 | 229.27 Mn |
| Jan 31, 2013 | 271.16 Mn |
| Oct 31, 2012 | 299.80 Mn |
| Jul 31, 2012 | 326.42 Mn |
| Apr 30, 2012 | 198.62 Mn |
| Jan 31, 2012 | 244.88 Mn |
| Oct 31, 2011 | 265.22 Mn |
| Jul 31, 2011 | 312.18 Mn |
G Iii Apparel Finished Goods 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=finished-goods&ticker=GIII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();