Starbucks (SBUX) Raw Materials (2010 - 2012)
Starbucks' Raw Materials came in at $130.9 million for fiscal Q2 2012 (quarter ended Apr 1, 2012), up 9.3% from $119.8 million a year earlier and up 9.4% from the prior quarter.
Starbucks (SBUX) Raw Materials (2010 - 2012) Analysis & Trends
At the end of FY2011 (ended Oct 2, 2011), Starbucks' Raw Materials was $137.2 million, up 45.5% from FY2010.
- Going back by fiscal year, Raw Materials was $94.3 million in FY2010.
- The five-year range for quarterly Raw Materials is $79.5 million (fiscal Q2 2010) to $137.2 million (fiscal Q4 2011).
- Year-over-year, Raw Materials has increased for five consecutive quarters, with growth averaging 34.7% over the last five quarters.
- Business Quant data shows SBUX's Raw Materials at $119.7 million (Q1 2012), $137.2 million (Q4 2011) and $126.9 million (Q3 2011) in the three fiscal quarters before Q2 2012.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Apr 1, 2012 | 130.90 Mn |
| Jan 1, 2012 | 119.70 Mn |
| Oct 2, 2011 | 137.20 Mn |
| Jul 3, 2011 | 126.90 Mn |
| Apr 3, 2011 | 119.80 Mn |
| Jan 2, 2011 | 88.90 Mn |
| Oct 3, 2010 | 94.30 Mn |
| Jun 27, 2010 | 95.30 Mn |
| Mar 28, 2010 | 79.50 Mn |
Starbucks Raw Materials 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=raw-materials&ticker=SBUX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "raw-materials", "ticker": "SBUX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=raw-materials&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();