Starbucks (SBUX) Total Non-Current Liabilities (2009 - 2018)
Starbucks (SBUX) reported Total Non-Current Liabilities of $12.06 billion for fiscal Q3 2018 (quarter ended Jul 1, 2018), up 51.5% from $7.96 billion a year earlier and up 3.0% from the prior quarter.
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Analysis
Starbucks (SBUX) Total Non-Current Liabilities (2009 - 2018) Analysis & Trends
At the end of FY2017 (ended Oct 1, 2017), Starbucks posted Total Non-Current Liabilities of $8.16 billion, up 5.5% from FY2016.
- Total Non-Current Liabilities has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 24.2% (FY2012 to FY2017).
- By fiscal year, Total Non-Current Liabilities came in at $7.73 billion in FY2016 (+29.0%), $6 billion in FY2015 (+17.9%), $5.09 billion in FY2014 (-23.8%) and $6.68 billion in FY2013 (+142.0%).
- The fiscal Q3 2018 figure ranks as the highest quarterly Total Non-Current Liabilities in data going back to fiscal Q3 2009.
- Year over year, Total Non-Current Liabilities has now increased in each of the last 15 quarters, with growth averaging 28.3% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was fiscal Q4 2013 (growth of 142.0%); the low point was fiscal Q4 2014 (a decline of 23.8%).
- Per Business Quant data, the three fiscal quarters before Q3 2018 came in at $11.72 billion (Q2 2018), $11.41 billion (Q1 2018) and $8.16 billion (Q4 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.89 Bn | 166.71 Bn | 6.42 Bn | 60.09 Bn |
| 2 | Starbucks | 109.83 Bn | 97.45 Bn | - | - |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 13.75 Bn |
| 4 | Chipotle Mexican Grill | 39.16 Bn | 35.14 Bn | - | 6.58 Bn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.36 Bn | 1.38 Bn | 18.73 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 9.21 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 18.73 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 4.65 Bn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 1.88 Bn |
| 10 | Luckin Coffee | 10.72 Bn | 9.80 Bn | - | 665.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 1, 2018 | 12.06 Bn |
| Apr 1, 2018 | 11.72 Bn |
| Dec 31, 2017 | 11.41 Bn |
| Oct 1, 2017 | 8.16 Bn |
| Jul 2, 2017 | 7.96 Bn |
| Apr 2, 2017 | 7.94 Bn |
| Jan 1, 2017 | 7.58 Bn |
| Oct 2, 2016 | 7.73 Bn |
| Jun 26, 2016 | 7.45 Bn |
| Mar 27, 2016 | 6.80 Bn |
| Dec 27, 2015 | 6.37 Bn |
| Sep 27, 2015 | 6.00 Bn |
| Jun 28, 2015 | 6.40 Bn |
| Mar 29, 2015 | 5.57 Bn |
| Dec 28, 2014 | 5.61 Bn |
| Sep 28, 2014 | 5.09 Bn |
| Jun 29, 2014 | 4.93 Bn |
| Mar 30, 2014 | 4.78 Bn |
| Dec 29, 2013 | 5.00 Bn |
| Sep 29, 2013 | 6.68 Bn |
API Access
Starbucks Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=SBUX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();