Shake Shack (SHAK) Exchange Rate Effect (2022 - 2026)
Shake Shack's Exchange Rate Effect came in at -$5,000 for Q1 2026, compared with -$1,000 a year earlier.
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Analysis
Shake Shack (SHAK) Exchange Rate Effect (2022 - 2026) Analysis & Trends
For FY2024, Shake Shack's Exchange Rate Effect was $2,000.
- Going back by year, Exchange Rate Effect was -$3,000 in FY2023, -$1,000 in FY2022 and -$2,000 in FY2021.
- The Q1 2026 figure represents the lowest quarterly Exchange Rate Effect in data going back to Q1 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 99.00 Mn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | -6.20 Mn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | -9.00 Mn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 98,000.00 |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | -5.00 Mn |
| 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 | -5.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 4.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | - |
| 10 | Shake Shack | 2.84 Bn | 1.50 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 1, 2026 | -5,000.00 |
| Sep 24, 2025 | 3,000.00 |
| Jun 25, 2025 | -2,000.00 |
| Mar 26, 2025 | -1,000.00 |
| Dec 25, 2024 | 1,000.00 |
| Sep 25, 2024 | 2,000.00 |
| Mar 27, 2024 | -1,000.00 |
| Sep 27, 2023 | 1,000.00 |
| Mar 29, 2023 | -4,000.00 |
| Dec 28, 2022 | 1,000.00 |
| Jun 29, 2022 | -1,000.00 |
| Mar 30, 2022 | -1,000.00 |
API Access
Shake Shack 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=SHAK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "SHAK", "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=SHAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();