Starbucks (SBUX) Other Non-Current Liabilities (2009 - 2018)
Starbucks (SBUX) posted Other Non-Current Liabilities of $1.12 billion for fiscal Q3 2018 (quarter ended Jul 1, 2018), up 57.8% from $711.2 million a year earlier and up 0.2% from the prior quarter.
Starbucks (SBUX) Other Non-Current Liabilities (2009 - 2018) Analysis & Trends
At the end of FY2017 (ended Oct 1, 2017), Starbucks' Other Non-Current Liabilities came in at $749 million, up 8.6% from FY2016.
- Annual Other Non-Current Liabilities has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 16.8% (FY2012 to FY2017).
- In prior fiscal years, Starbucks' Other Non-Current Liabilities was $689.7 million in FY2016 (+14.8%), $600.9 million in FY2015 (+53.2%), $392.2 million in FY2014 (+9.6%) and $357.7 million in FY2013 (+3.6%).
- Quarterly Other Non-Current Liabilities has run from a low of $357.7 million in fiscal Q4 2013 to a high of $1.35 billion in fiscal Q1 2018 over five years.
- On a year-over-year basis, Other Non-Current Liabilities has increased in each of the last 18 quarters, with growth averaging 35.5% over the last eight quarters.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was fiscal Q1 2018, with growth of 114.2%; the weakest was fiscal Q1 2014, with a decline of 2.6%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior fiscal quarters was $1.12 billion (Q2 2018), $1.35 billion (Q1 2018) and $749 million (Q4 2017).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 171.89 Bn | 166.71 Bn | 6.42 Bn |
| 2 | Starbucks | 109.83 Bn | 97.45 Bn | - |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 39.16 Bn | 35.14 Bn | - |
| 5 | Restaurant Brands International | 25.80 Bn | 21.36 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 | 10.72 Bn | 9.80 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jul 1, 2018 | 1.12 Bn |
| Apr 1, 2018 | 1.12 Bn |
| Dec 31, 2017 | 1.35 Bn |
| Oct 1, 2017 | 749.00 Mn |
| Jul 2, 2017 | 711.20 Mn |
| Apr 2, 2017 | 673.90 Mn |
| Jan 1, 2017 | 631.20 Mn |
| Oct 2, 2016 | 689.70 Mn |
| Jun 26, 2016 | 661.60 Mn |
| Mar 27, 2016 | 624.20 Mn |
| Dec 27, 2015 | 592.10 Mn |
| Sep 27, 2015 | 600.90 Mn |
| Jun 28, 2015 | 613.90 Mn |
| Mar 29, 2015 | 610.30 Mn |
| Dec 28, 2014 | 587.40 Mn |
| Sep 28, 2014 | 392.20 Mn |
| Jun 29, 2014 | 382.50 Mn |
| Mar 30, 2014 | 368.40 Mn |
| Dec 29, 2013 | 364.80 Mn |
| Sep 29, 2013 | 357.70 Mn |
Starbucks Other 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=other-non-current-liabilities&ticker=SBUX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();