Starbucks (SBUX) Receivables (2009 - 2026)
Starbucks (SBUX) posted Receivables of $1.3 billion for fiscal Q3 2026 (quarter ended Jun 28, 2026), up 5.0% from $1.24 billion a year earlier and up 1.2% from the prior quarter.
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Analysis
Starbucks (SBUX) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 28, 2025), Starbucks' Receivables came in at $1.28 billion, up 5.2% from FY2024.
- Annual Receivables shows a five-year compound annual growth rate of 4.2% (FY2020 to FY2025).
- In prior fiscal years, Starbucks' Receivables was $1.21 billion in FY2024 (+1.2%), $1.2 billion in FY2023 (-3.6%), $1.24 billion in FY2022 (+11.9%) and $1.11 billion in FY2021 (+7.1%).
- The fiscal Q3 2026 figure stands as the highest quarterly Receivables in data going back to fiscal Q3 2009.
- On a year-over-year basis, Receivables increased in seven of the last eight quarters, with growth averaging 5.0%.
- The strongest year-over-year quarter for Receivables in the past five years was fiscal Q3 2022, with growth of 14.4%; the weakest was fiscal Q3 2023, with a decline of 7.1%.
- According to Business Quant data, Receivables for the three prior fiscal quarters was $1.29 billion (Q2 2026), $1.22 billion (Q1 2026) and $1.28 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.31 Bn | 160.13 Bn | 6.42 Bn | 2.49 Bn |
| 2 | Starbucks | 108.61 Bn | 96.24 Bn | - | 1.30 Bn |
| 3 | Chipotle Mexican Grill | 40.32 Bn | 36.30 Bn | - | 100.31 Mn |
| 4 | Yum Brands | 37.73 Bn | 34.61 Bn | 1.47 Bn | 623.00 Mn |
| 5 | Restaurant Brands International | 24.95 Bn | 22.05 Bn | 1.38 Bn | 800.00 Mn |
| 6 | Darden Restaurants | 22.46 Bn | 21.57 Bn | -113.70 Mn | 129.90 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 800.00 Mn |
| 8 | Yum China Holdings | 14.17 Bn | 8.53 Bn | 537.00 Mn | 115.00 Mn |
| 9 | Texas Roadhouse | 10.39 Bn | 9.75 Bn | - | 74.14 Mn |
| 10 | Dominos Pizza | 9.67 Bn | 9.01 Bn | 478.23 Mn | 303.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.30 Bn |
| Mar 29, 2026 | 1.29 Bn |
| Dec 28, 2025 | 1.22 Bn |
| Sep 28, 2025 | 1.28 Bn |
| Jun 29, 2025 | 1.24 Bn |
| Mar 30, 2025 | 1.15 Bn |
| Dec 29, 2024 | 1.24 Bn |
| Sep 29, 2024 | 1.21 Bn |
| Jun 30, 2024 | 1.15 Bn |
| Mar 31, 2024 | 1.11 Bn |
| Dec 31, 2023 | 1.17 Bn |
| Oct 1, 2023 | 1.20 Bn |
| Jul 2, 2023 | 1.14 Bn |
| Apr 2, 2023 | 1.19 Bn |
| Jan 1, 2023 | 1.19 Bn |
| Oct 2, 2022 | 1.24 Bn |
| Jul 3, 2022 | 1.23 Bn |
| Apr 3, 2022 | 1.10 Bn |
| Jan 2, 2022 | 1.13 Bn |
| Oct 3, 2021 | 1.11 Bn |
API Access
Starbucks Receivables 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&ticker=SBUX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();