Starbucks (SBUX) Long-Term Investments (2009 - 2026)
Starbucks (SBUX) reported Long-Term Investments of $1.7 billion for fiscal Q3 2026 (quarter ended Jun 28, 2026), up 249.9% from $485.9 million a year earlier and up 251.9% from the prior quarter.
Starbucks (SBUX) Long-Term Investments (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 28, 2025), Starbucks posted Long-Term Investments of $466.2 million, up 68.9% from FY2024.
- Long-Term Investments has a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- By fiscal year, Long-Term Investments came in at $276 million in FY2024 (+11.6%), $247.4 million in FY2023 (-11.4%), $279.1 million in FY2022 (-0.9%) and $281.7 million in FY2021 (-41.2%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Long-Term Investments in data going back to fiscal Q3 2009.
- Year over year, Long-Term Investments gained in seven of the last eight quarters, with growth averaging 44.3%.
- The high point for year-over-year Long-Term Investments in five years was fiscal Q3 2026 (growth of 249.9%); the low point was fiscal Q3 2022 (a decline of 43.5%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $483.1 million (Q2 2026), $432 million (Q1 2026) and $466.2 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 2.90 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 1.70 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | - |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 97.08 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | - |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | - |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | - |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 382.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | - |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.70 Bn |
| Mar 29, 2026 | 483.10 Mn |
| Dec 28, 2025 | 432.00 Mn |
| Sep 28, 2025 | 466.20 Mn |
| Jun 29, 2025 | 485.90 Mn |
| Mar 30, 2025 | 466.90 Mn |
| Dec 29, 2024 | 449.30 Mn |
| Sep 29, 2024 | 276.00 Mn |
| Jun 30, 2024 | 456.10 Mn |
| Mar 31, 2024 | 440.20 Mn |
| Dec 31, 2023 | 401.00 Mn |
| Oct 1, 2023 | 247.40 Mn |
| Jul 2, 2023 | 384.40 Mn |
| Apr 2, 2023 | 360.50 Mn |
| Jan 1, 2023 | 330.50 Mn |
| Oct 2, 2022 | 279.10 Mn |
| Jul 3, 2022 | 302.70 Mn |
| Apr 3, 2022 | 285.60 Mn |
| Jan 2, 2022 | 299.60 Mn |
| Oct 3, 2021 | 281.70 Mn |
Starbucks Long-Term Investments 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=long-term-investments&ticker=SBUX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();