Starbucks (SBUX) Change in Receivables (2012 - 2026)
Starbucks (SBUX) posted Change in Receivables of -$131.6 million for fiscal Q4 2026 (quarter ended Sep 27, 2026), compared with $43.3 million a year earlier.
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Analysis
Starbucks (SBUX) Change in Receivables (2012 - 2026) Analysis & Trends
For FY2026 (ended Sep 27, 2026), Starbucks' Change in Receivables came in at $2.6 million, down 97.1% from FY2025.
- Annual Change in Receivables shows a five-year compound annual growth rate of -42.9% (FY2021 to FY2026).
- In prior fiscal years, Starbucks' Change in Receivables was $89.7 million in FY2025, -$18.4 million in FY2024, $4.1 million in FY2023 (-98.7%) and $326.1 million in FY2022 (+658.4%).
- The fiscal Q4 2026 figure stands as the lowest quarterly Change in Receivables since fiscal Q4 2018.
- On a year-over-year basis, Change in Receivables increased in two of the last four quarters, with an average decline of 0.7%.
- The strongest year-over-year quarter for Change in Receivables in the past five years was fiscal Q3 2022, with growth of 608.1%; the weakest was fiscal Q1 2026, with a decline of 99.7%.
- According to Business Quant data, Change in Receivables for the three prior fiscal quarters was $50.8 million (Q3 2026), $83.2 million (Q2 2026) and $200,000 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.28 Bn | 193.10 Bn | 6.42 Bn | - |
| 2 | Starbucks | 125.06 Bn | 112.69 Bn | - | 50.80 Mn |
| 3 | Yum Brands | 45.39 Bn | 42.27 Bn | 1.47 Bn | 12.00 Mn |
| 4 | Chipotle Mexican Grill | 44.51 Bn | 41.01 Bn | - | -881,000.00 |
| 5 | Restaurant Brands International | 27.33 Bn | 24.70 Bn | 1.40 Bn | 3.00 Mn |
| 6 | Darden Restaurants | 26.09 Bn | 25.18 Bn | 1.68 Bn | -11.90 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 3.00 Mn |
| 8 | Yum China Holdings | 17.13 Bn | 11.49 Bn | 537.00 Mn | 10.00 Mn |
| 9 | Texas Roadhouse | 12.88 Bn | 12.25 Bn | - | 20.36 Mn |
| 10 | Dominos Pizza | 11.21 Bn | 10.45 Bn | 476.38 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 50.80 Mn |
| Mar 29, 2026 | 83.20 Mn |
| Dec 28, 2025 | 200,000.00 |
| Sep 28, 2025 | 43.30 Mn |
| Jun 29, 2025 | 63.40 Mn |
| Mar 30, 2025 | -92.80 Mn |
| Dec 29, 2024 | 75.80 Mn |
| Sep 29, 2024 | 26.30 Mn |
| Jun 30, 2024 | 41.70 Mn |
| Mar 31, 2024 | -44.10 Mn |
| Dec 31, 2023 | -42.30 Mn |
| Oct 1, 2023 | 48.40 Mn |
| Jul 2, 2023 | -18.10 Mn |
| Apr 2, 2023 | 15.80 Mn |
| Jan 1, 2023 | -42.00 Mn |
| Oct 2, 2022 | 80.60 Mn |
| Jul 3, 2022 | 183.40 Mn |
| Apr 3, 2022 | -29.50 Mn |
| Jan 2, 2022 | 91.60 Mn |
| Oct 3, 2021 | 29.90 Mn |
API Access
Starbucks Change in 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=change-in-receivables&ticker=SBUX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-receivables&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();