Starbucks (SBUX) Intangibles (2009 - 2026)
Starbucks (SBUX) posted Intangibles of $169.6 million for fiscal Q4 2026 (quarter ended Sep 27, 2026), up 1.7% from $166.8 million a year earlier but down 1.6% from the prior quarter.
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Analysis
Starbucks (SBUX) Intangibles (2009 - 2026) Analysis & Trends
Since fiscal Q3 2009, Starbucks has reported Intangibles for 66 quarters.
- Annual Intangibles shows a five-year compound annual growth rate of -13.5% (FY2021 to FY2026).
- In prior fiscal years, Starbucks' Intangibles was $166.8 million in FY2025 (+65.3%), $100.9 million in FY2024 (-16.3%), $120.5 million in FY2023 (-22.7%) and $155.9 million in FY2022 (-55.4%).
- Quarterly Intangibles has run from a low of $100.9 million in fiscal Q4 2024 to a high of $302.5 million in fiscal Q1 2022 over five years.
- On a year-over-year basis, Intangibles has increased in each of the last three quarters, with growth averaging 28.9% over the last eight quarters.
- The strongest year-over-year quarter for Intangibles in the past five years was fiscal Q4 2025, with growth of 65.3%; the weakest was fiscal Q4 2022, with a decline of 55.4%.
- According to Business Quant data, Intangibles for the three prior fiscal quarters was $172.3 million (Q3 2026), $176 million (Q2 2026) and $167.2 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.28 Bn | 193.10 Bn | 6.42 Bn | - |
| 2 | Starbucks | 125.06 Bn | 112.69 Bn | - | 172.30 Mn |
| 3 | Yum Brands | 45.39 Bn | 42.27 Bn | 1.47 Bn | 807.00 Mn |
| 4 | Chipotle Mexican Grill | 44.51 Bn | 41.01 Bn | - | - |
| 5 | Restaurant Brands International | 27.33 Bn | 24.70 Bn | 1.40 Bn | 10.88 Bn |
| 6 | Darden Restaurants | 26.09 Bn | 25.18 Bn | 1.68 Bn | 1.35 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 10.88 Bn |
| 8 | Yum China Holdings | 17.13 Bn | 11.49 Bn | 537.00 Mn | 151.00 Mn |
| 9 | Texas Roadhouse | 12.88 Bn | 12.25 Bn | - | 26.49 Mn |
| 10 | Dominos Pizza | 11.21 Bn | 10.45 Bn | 476.38 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 172.30 Mn |
| Mar 29, 2026 | 176.00 Mn |
| Dec 28, 2025 | 167.20 Mn |
| Sep 28, 2025 | 166.80 Mn |
| Jun 29, 2025 | 169.70 Mn |
| Mar 30, 2025 | 169.30 Mn |
| Dec 29, 2024 | 170.50 Mn |
| Sep 29, 2024 | 100.90 Mn |
| Jun 30, 2024 | 105.70 Mn |
| Mar 31, 2024 | 110.70 Mn |
| Dec 31, 2023 | 115.80 Mn |
| Oct 1, 2023 | 120.50 Mn |
| Jul 2, 2023 | 124.40 Mn |
| Apr 2, 2023 | 130.80 Mn |
| Jan 1, 2023 | 151.40 Mn |
| Oct 2, 2022 | 155.90 Mn |
| Jul 3, 2022 | 203.40 Mn |
| Apr 3, 2022 | 254.70 Mn |
| Jan 2, 2022 | 302.50 Mn |
| Oct 3, 2021 | 349.90 Mn |
API Access
Starbucks Intangibles 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=intangibles&ticker=SBUX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();