Starbucks (SBUX) Change in Receivables (2012 - 2026)
Starbucks (SBUX) posted Change in Receivables of $50.8 million for fiscal Q3 2026 (quarter ended Jun 28, 2026), down 19.9% from $63.4 million a year earlier and down 38.9% from the prior quarter.
Starbucks (SBUX) Change in Receivables (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Change in Receivables at Starbucks was $177.5 million, up 144.2% year-over-year; for FY2025 (ended Sep 28, 2025), it was $89.7 million.
- Annual Change in Receivables shows a five-year compound annual growth rate of 101.5% (FY2020 to FY2025).
- In prior fiscal years, Starbucks' Change in Receivables was -$18.4 million in FY2024, $4.1 million in FY2023 (-98.7%), $326.1 million in FY2022 (+658.4%) and $43 million in FY2021.
- Quarterly Change in Receivables has run from a low of -$92.8 million in fiscal Q2 2025 to a high of $183.4 million in fiscal Q3 2022 over five years.
- On a year-over-year basis, Change in Receivables increased in two of the last five quarters, with an average decline of 9.7%.
- 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 $83.2 million (Q2 2026), $200,000 (Q1 2026) and $43.3 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 172.13 Bn | 166.95 Bn | 6.42 Bn | - |
| 2 | Starbucks | 109.42 Bn | 97.05 Bn | - | 50.80 Mn |
| 3 | Yum Brands | 41.37 Bn | 38.25 Bn | 1.47 Bn | 12.00 Mn |
| 4 | Chipotle Mexican Grill | 39.34 Bn | 35.32 Bn | - | 5.20 Mn |
| 5 | Restaurant Brands International | 25.76 Bn | 21.31 Bn | 1.38 Bn | 54.00 Mn |
| 6 | Darden Restaurants | 24.26 Bn | 23.36 Bn | 1.68 Bn | -11.90 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 54.00 Mn |
| 8 | Yum China Holdings | 15.60 Bn | 9.26 Bn | 537.00 Mn | 10.00 Mn |
| 9 | Texas Roadhouse | 11.23 Bn | 10.57 Bn | - | 20.36 Mn |
| 10 | Luckin Coffee | 10.65 Bn | 9.74 Bn | - | - |
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 |
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_KEY
import 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();