Starbucks (SBUX) Receivables - Other (2020 - 2023)
Starbucks' Receivables - Other was $15.6 million in fiscal Q4 2023 (quarter ended Oct 1, 2023), down 77.5% from $69.4 million a year earlier.
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Analysis
Starbucks (SBUX) Receivables - Other (2020 - 2023) Analysis & Trends
From fiscal Q3 2020 onward, Starbucks has reported Receivables - Other for 12 quarters.
- Receivables - Other shows a three-year compound annual growth rate of -53.5% (FY2020 to FY2023).
- In earlier fiscal years, Receivables - Other was $69.4 million in FY2022 (-59.7%), $172.4 million in FY2021 (+11.2%) and $155.1 million in FY2020.
- The fiscal Q4 2023 figure marks the lowest quarterly Receivables - Other in data going back to fiscal Q3 2020.
- The best year-over-year quarter for Receivables - Other over five years was fiscal Q4 2021 (growth of 11.2%); the worst was fiscal Q4 2023 (a decline of 77.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 171.79 Bn | 166.61 Bn | 6.42 Bn |
| 2 | Starbucks | 109.56 Bn | 97.18 Bn | - |
| 3 | Yum Brands | 41.44 Bn | 38.32 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 39.19 Bn | 35.17 Bn | - |
| 5 | Restaurant Brands International | 25.75 Bn | 21.31 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.34 Bn | 23.44 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 | 11.20 Bn | 10.54 Bn | - |
| 10 | Luckin Coffee | 10.70 Bn | 9.79 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 1, 2023 | 15.60 Mn |
| Jan 1, 2023 | 28.40 Mn |
| Oct 2, 2022 | 69.40 Mn |
| Jul 3, 2022 | 81.20 Mn |
| Apr 3, 2022 | 97.10 Mn |
| Jan 2, 2022 | 98.80 Mn |
| Oct 3, 2021 | 172.40 Mn |
| Jun 27, 2021 | 161.70 Mn |
| Mar 28, 2021 | 158.60 Mn |
| Dec 27, 2020 | 149.30 Mn |
| Sep 27, 2020 | 155.10 Mn |
| Jun 28, 2020 | 214.00 Mn |
API Access
Starbucks Receivables - Other 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=receivables-other&ticker=SBUX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-other", "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=receivables-other&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();