Starbucks (SBUX) Payables (2009 - 2026)
Starbucks' (SBUX) quarterly Payables came in at $1.8 billion in Q2 2026, down 5.88% year-over-year from $1.9 billion in Q2 2025, and up 6.15% quarter-over-quarter from $1.7 billion in Q1 2026.
Starbucks (SBUX) Payables (2009 - 2026) Analysis & Trends
Starbucks (SBUX) has reported Payables for 18 consecutive years, with $1.8 billion the latest figure, recorded in Q2 2026.
- On a quarterly basis, Payables fell 5.88% year-over-year to $1.8 billion in Q2 2026; TTM through Jun 2026 was $1.8 billion, a 5.88% decrease from a year earlier, with the FY2025 full-year figure at $1.9 billion, up 16.13% from the prior year.
- Payables was $1.8 billion for Q2 2026 at Starbucks, up from $1.7 billion in the prior quarter.
- Over five years, Payables peaked at $1.9 billion in Q1 2025 and troughed at $1.3 billion in Q2 2022.
- A 5-year average of $1.6 billion and a median of $1.6 billion in 2022 frame the typical range for Payables.
- Across the five-year window, Payables soared 49.94% in 2022 and decreased 12.51% in 2026, its largest moves.
- Over 5 years, Payables stood at $1.6 billion in 2022, then increased by 11.99% to $1.8 billion in 2023, then fell by 1.8% to $1.8 billion in 2024, then slipped by 5.37% to $1.7 billion in 2025, then climbed by 5.65% to $1.8 billion in 2026.
- The last three Payables figures came in at $1.8 billion (Q2 2026), $1.7 billion (Q1 2026), and $1.7 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn | 1.11 Bn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn | 1.78 Bn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn | 255.13 Mn |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn | 4.00 Bn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn | 884.00 Mn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn | 427.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn | 884.00 Mn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn | 2.44 Bn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn | 179.04 Mn |
| 10 | Dominos Pizza | 9.81 Bn | 9.60 Bn | 478.23 Mn | 205.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.78 Bn |
| Mar 29, 2026 | 1.67 Bn |
| Dec 28, 2025 | 1.68 Bn |
| Sep 28, 2025 | 1.85 Bn |
| Jun 29, 2025 | 1.89 Bn |
| Mar 30, 2025 | 1.91 Bn |
| Dec 29, 2024 | 1.78 Bn |
| Sep 29, 2024 | 1.60 Bn |
| Jun 30, 2024 | 1.61 Bn |
| Mar 31, 2024 | 1.53 Bn |
| Dec 31, 2023 | 1.81 Bn |
| Oct 1, 2023 | 1.58 Bn |
| Jul 2, 2023 | 1.54 Bn |
| Apr 2, 2023 | 1.49 Bn |
| Jan 1, 2023 | 1.35 Bn |
| Oct 2, 2022 | 1.62 Bn |
| Jul 3, 2022 | 1.69 Bn |
| Apr 3, 2022 | 1.33 Bn |
| Jan 2, 2022 | 1.49 Bn |
| Oct 3, 2021 | 1.21 Bn |
Starbucks Payables 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=payables&ticker=SBUX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();