Starbucks (SBUX) Change in Other Operating Assets (2009 - 2022)
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Analysis
Starbucks (SBUX) Change in Other Operating Assets (2009 - 2022) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Assets Change (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.64 Bn | 166.46 Bn | 6.42 Bn | - |
| 2 | Starbucks | 109.39 Bn | 97.01 Bn | - | - |
| 3 | Yum Brands | 41.42 Bn | 38.30 Bn | 1.47 Bn | 19.00 Mn |
| 4 | Chipotle Mexican Grill | 39.20 Bn | 35.18 Bn | - | -9.22 Mn |
| 5 | Restaurant Brands International | 25.72 Bn | 21.28 Bn | 1.38 Bn | 30.00 Mn |
| 6 | Darden Restaurants | 24.30 Bn | 23.39 Bn | 1.68 Bn | 19.90 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 30.00 Mn |
| 8 | Yum China Holdings | 15.56 Bn | 9.22 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 11.19 Bn | 10.53 Bn | - | 9.35 Mn |
| 10 | Luckin Coffee | 10.68 Bn | 9.76 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 3, 2022 | -185.30 Mn |
| Jan 2, 2022 | 64.60 Mn |
| Oct 3, 2021 | -467.90 Mn |
| Jun 27, 2021 | 77.10 Mn |
| Mar 28, 2021 | 134.50 Mn |
| Dec 27, 2020 | 5.20 Mn |
| Sep 27, 2020 | 174.60 Mn |
| Jun 28, 2020 | -244.40 Mn |
| Mar 29, 2020 | -219.20 Mn |
| Dec 29, 2019 | -28.50 Mn |
| Sep 29, 2019 | 1.75 Bn |
| Jun 30, 2019 | -57.00 Mn |
| Mar 31, 2019 | 72.70 Mn |
| Dec 30, 2018 | -847.30 Mn |
| Sep 30, 2018 | -1.53 Bn |
| Jul 1, 2018 | 16.60 Mn |
| Apr 1, 2018 | 569.10 Mn |
| Dec 31, 2017 | 108.60 Mn |
| Mar 27, 2016 | 12.20 Mn |
| Dec 27, 2015 | 11.60 Mn |
API Access
Starbucks Change in Other Operating Assets 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=change-in-other-operating-assets&ticker=SBUX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-other-operating-assets", "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=change-in-other-operating-assets&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();