Starbucks (SBUX) Other non-cash items (2009 - 2026)
Starbucks' Other non-cash items was $384.3 million in fiscal Q3 2026 (quarter ended Jun 28, 2026), up 8.6% from $354 million a year earlier and up 17.1% from the prior quarter.
Starbucks (SBUX) Other non-cash items (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Starbucks' Other non-cash items was $1.69 billion through Jun 28, 2026, up 1.8% year-over-year; for FY2025 (ended Sep 28, 2025), it came in at $1.83 billion, up 8.7% from FY2024.
- Other non-cash items shows a five-year compound annual growth rate of 4.7% (FY2020 to FY2025).
- In earlier fiscal years, Other non-cash items was $1.68 billion in FY2024 (+4.0%), $1.62 billion in FY2023 (-2.7%), $1.66 billion in FY2022 (+5.2%) and $1.58 billion in FY2021 (+8.9%).
- Quarterly Other non-cash items has moved between $316.1 million (fiscal Q1 2023) and $568.6 million (fiscal Q1 2025) over five years.
- Compared with a year earlier, Other non-cash items was higher in three of the last eight quarters, with growth averaging 0.3%.
- The best year-over-year quarter for Other non-cash items over five years was fiscal Q4 2025 (growth of 46.5%); the worst was fiscal Q3 2025 (a decline of 23.5%).
- Per Business Quant data, SBUX's Other non-cash items in the three fiscal quarters before Q3 2026 was $328.1 million (Q2 2026), $454.9 million (Q1 2026) and $522.7 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 196.82 Bn | 191.64 Bn | 6.42 Bn |
| 2 | Starbucks | 120.15 Bn | 107.77 Bn | - |
| 3 | Yum Brands | 44.63 Bn | 41.51 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 44.07 Bn | 40.57 Bn | - |
| 5 | Restaurant Brands International | 27.10 Bn | 22.89 Bn | 1.40 Bn |
| 6 | Darden Restaurants | 25.71 Bn | 24.80 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn |
| 8 | Yum China Holdings | 17.39 Bn | 11.05 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 12.19 Bn | 11.53 Bn | - |
| 10 | Dominos Pizza | 11.05 Bn | 10.30 Bn | 476.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 384.30 Mn |
| Mar 29, 2026 | 328.10 Mn |
| Dec 28, 2025 | 454.90 Mn |
| Sep 28, 2025 | 522.70 Mn |
| Jun 29, 2025 | 354.00 Mn |
| Mar 30, 2025 | 380.20 Mn |
| Dec 29, 2024 | 568.60 Mn |
| Sep 29, 2024 | 356.80 Mn |
| Jun 30, 2024 | 463.00 Mn |
| Mar 31, 2024 | 459.30 Mn |
| Dec 31, 2023 | 401.00 Mn |
| Oct 1, 2023 | 447.70 Mn |
| Jul 2, 2023 | 472.50 Mn |
| Apr 2, 2023 | 379.20 Mn |
| Jan 1, 2023 | 316.10 Mn |
| Oct 2, 2022 | 469.50 Mn |
| Jul 3, 2022 | 438.00 Mn |
| Apr 3, 2022 | 383.20 Mn |
| Jan 2, 2022 | 370.40 Mn |
| Oct 3, 2021 | 427.00 Mn |
Starbucks Other non-cash items 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=other-non-cash-items&ticker=SBUX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-cash-items", "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=other-non-cash-items&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();