Starbucks (SBUX) Cost of Revenue (2009 - 2020)
Starbucks' Cost of Revenue was $2 billion in fiscal Q2 2020 (quarter ended Mar 29, 2020), down 0.7% from $2.01 billion a year earlier and down 10.7% from the prior quarter.
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Analysis
Starbucks (SBUX) Cost of Revenue (2009 - 2020) Analysis & Trends
On a trailing twelve-month basis, Starbucks' Cost of Revenue was $7.4 billion through Mar 29, 2020, up 4.2% year-over-year; for FY2019 (ended Sep 29, 2019), it came in at $8.53 billion, up 7.5% from FY2018.
- Cost of Revenue shows a five-year compound annual growth rate of 4.5% (FY2014 to FY2019).
- In earlier fiscal years, Cost of Revenue was $7.93 billion in FY2018 (+12.2%), $7.07 billion in FY2017 (-17.0%), $8.51 billion in FY2016 (+9.3%) and $7.79 billion in FY2015 (+13.5%).
- Quarterly Cost of Revenue has moved between $355.8 million (fiscal Q4 2019) and $2.81 billion (fiscal Q3 2019) over five years.
- Compared with a year earlier, Cost of Revenue was higher in three of the last eight quarters, with an average decline of 1.7%.
- The best year-over-year quarter for Cost of Revenue over five years was fiscal Q2 2018 (growth of 17.4%); the worst was fiscal Q4 2017 (a decline of 83.1%).
- Per Business Quant data, SBUX's Cost of Revenue in the three fiscal quarters before Q2 2020 was $2.24 billion (Q1 2020), $355.8 million (Q4 2019) and $2.81 billion (Q3 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 172.13 Bn | 166.95 Bn | 6.42 Bn | 680.00 Mn |
| 2 | Starbucks | 109.42 Bn | 97.05 Bn | - | - |
| 3 | Yum Brands | 41.37 Bn | 38.25 Bn | 1.47 Bn | 700.00 Mn |
| 4 | Chipotle Mexican Grill | 39.34 Bn | 35.32 Bn | - | - |
| 5 | Restaurant Brands International | 25.76 Bn | 21.31 Bn | 1.38 Bn | 1.14 Bn |
| 6 | Darden Restaurants | 24.26 Bn | 23.36 Bn | 1.68 Bn | 1.52 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.14 Bn |
| 8 | Yum China Holdings | 15.60 Bn | 9.26 Bn | 537.00 Mn | 2.60 Bn |
| 9 | Texas Roadhouse | 11.23 Bn | 10.57 Bn | - | - |
| 10 | Luckin Coffee | 10.65 Bn | 9.74 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 29, 2020 | 2.00 Bn |
| Dec 29, 2019 | 2.24 Bn |
| Sep 29, 2019 | 355.80 Mn |
| Jun 30, 2019 | 2.81 Bn |
| Mar 31, 2019 | 2.01 Bn |
| Dec 30, 2018 | 2.18 Bn |
| Sep 30, 2018 | 360.90 Mn |
| Jul 1, 2018 | 2.55 Bn |
| Apr 1, 2018 | 2.51 Bn |
| Dec 31, 2017 | 2.50 Bn |
| Oct 1, 2017 | 380.50 Mn |
| Jul 2, 2017 | 2.25 Bn |
| Apr 2, 2017 | 2.14 Bn |
| Jan 1, 2017 | 2.30 Bn |
| Oct 2, 2016 | 2.25 Bn |
| Jun 26, 2016 | 2.06 Bn |
| Mar 27, 2016 | 2.01 Bn |
| Dec 27, 2015 | 2.19 Bn |
| Sep 27, 2015 | 1.98 Bn |
| Jun 28, 2015 | 1.95 Bn |
API Access
Starbucks Cost of Revenue 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=cost-of-revenue&ticker=SBUX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();