Shake Shack (SHAK) Exchange Rate Effect (2022 - 2026)
Shake Shack's (SHAK) quarterly Exchange Rate Effect came in at -$5000.0 in Q2 2026, down 400.0% year-over-year from $1666.7 in Q2 2025, and down 266.67% quarter-over-quarter from $3000.0 in Q3 2025.
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Analysis
Shake Shack (SHAK) Exchange Rate Effect (2022 - 2026) Analysis & Trends
Shake Shack (SHAK) has reported Exchange Rate Effect for 5 consecutive years, with -$5000.0 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Exchange Rate Effect fell 400.0% year-over-year to -$5000.0 in Q2 2026; TTM through Jul 2026 was -$2000.0, a N/A change from a year earlier, with the FY2024 full-year figure at $2000.0, up 166.67% from the prior year.
- Exchange Rate Effect was -$5000.0 for Q2 2026 at Shake Shack, down from $3000.0 in the prior quarter.
- Over five years, Exchange Rate Effect peaked at $3000.0 in Q3 2025 and troughed at -$5000.0 in Q2 2026.
- A 5-year average of -$583.33 and a median of -$1000.0 in 2022 frame the typical range for Exchange Rate Effect.
- Across the five-year window, Exchange Rate Effect soared 100.0% in 2024 and tumbled 400.0% in 2026, its largest moves.
- Over 5 years, Exchange Rate Effect stood at $1000.0 in 2022, then changed by 0.0% to $1000.0 in 2023, then changed by 0.0% to $1000.0 in 2024, then soared by 200.0% to $3000.0 in 2025, then plunged by 266.67% to -$5000.0 in 2026.
- The last three Exchange Rate Effect figures came in at -$5000.0 (Q2 2026), $3000.0 (Q3 2025), and -$2000.0 (Q2 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn | 99.00 Mn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn | -6.20 Mn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn | 98,000.00 |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn | -9.00 Mn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn | -5.00 Mn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn | - |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn | -5.00 Mn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn | 4.00 Mn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn | - |
| 10 | Shake Shack | 2.36 Bn | 2.08 Bn | 354.50 Mn | - |
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();