Starbucks (SBUX) Exchange Rate Effect (2009 - 2026)
Starbucks (SBUX) reported Exchange Rate Effect of -$6.2 million for fiscal Q3 2026 (quarter ended Jun 28, 2026), compared with $39.1 million a year earlier.
Starbucks (SBUX) Exchange Rate Effect (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, Starbucks' Exchange Rate Effect came in at -$11.6 million; for FY2025 (ended Sep 28, 2025), it came in at -$30.5 million.
- By fiscal year, Exchange Rate Effect came in at $56.5 million in FY2024, -$14.2 million in FY2023, -$250.3 million in FY2022 and $86.2 million in FY2021 (+33.2%).
- Five-year quarterly Exchange Rate Effect spans a low of -$140.9 million in fiscal Q3 2022 and a high of $65.7 million in fiscal Q4 2024.
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at -$3.1 million (Q2 2026), $9 million (Q1 2026) and -$11.3 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 172.13 Bn | 166.95 Bn | 6.42 Bn | 99.00 Mn |
| 2 | Starbucks | 109.42 Bn | 97.05 Bn | - | -6.20 Mn |
| 3 | Yum Brands | 41.37 Bn | 38.25 Bn | 1.47 Bn | -9.00 Mn |
| 4 | Chipotle Mexican Grill | 39.34 Bn | 35.32 Bn | - | 98,000.00 |
| 5 | Restaurant Brands International | 25.76 Bn | 21.31 Bn | 1.38 Bn | -5.00 Mn |
| 6 | Darden Restaurants | 24.26 Bn | 23.36 Bn | 1.68 Bn | - |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | -5.00 Mn |
| 8 | Yum China Holdings | 15.60 Bn | 9.26 Bn | 537.00 Mn | 4.00 Mn |
| 9 | Texas Roadhouse | 11.23 Bn | 10.57 Bn | - | - |
| 10 | Luckin Coffee | 10.65 Bn | 9.74 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | -6.20 Mn |
| Mar 29, 2026 | -3.10 Mn |
| Dec 28, 2025 | 9.00 Mn |
| Sep 28, 2025 | -11.30 Mn |
| Jun 29, 2025 | 39.10 Mn |
| Mar 30, 2025 | 18.50 Mn |
| Dec 29, 2024 | -76.80 Mn |
| Sep 29, 2024 | 65.70 Mn |
| Jun 30, 2024 | -19.60 Mn |
| Mar 31, 2024 | -32.70 Mn |
| Dec 31, 2023 | 43.10 Mn |
| Oct 1, 2023 | -8.20 Mn |
| Jul 2, 2023 | -89.00 Mn |
| Apr 2, 2023 | 21.00 Mn |
| Jan 1, 2023 | 62.00 Mn |
| Oct 2, 2022 | -124.00 Mn |
| Jul 3, 2022 | -140.90 Mn |
| Apr 3, 2022 | 1.60 Mn |
| Jan 2, 2022 | 13.00 Mn |
| Oct 3, 2021 | -1.70 Mn |
Starbucks Exchange Rate Effect 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=exchange-rate-effect&ticker=SBUX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();