Shake Shack (SHAK) Revenue (2014 - 2026)
Shake Shack's Revenue was $417.62 million in Q2 2026, up 17.2% from $356.47 million a year earlier and up 13.9% from the prior quarter.
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Analysis
Shake Shack (SHAK) Revenue (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Shake Shack's Revenue was $1.55 billion through Jul 1, 2026, up 17.3% year-over-year; for FY2025, it came in at $1.45 billion, up 15.4% from FY2024.
- Revenue has now increased for five consecutive years, with a five-year compound annual growth rate of 22.6% (FY2020 to FY2025).
- In earlier years, Revenue was $1.25 billion in FY2024 (+15.2%), $1.09 billion in FY2023 (+20.8%), $900.49 million in FY2022 (+21.7%) and $739.89 million in FY2021 (+41.5%).
- The Q2 2026 figure marks the highest quarterly Revenue in data going back to Q1 2014.
- Compared with a year earlier, Revenue has increased for 23 straight quarters, with growth averaging 15.2% over the last eight quarters.
- The year-over-year growth in Revenue has ranged between 10.5% (Q1 2025) and 48.7% (Q3 2021) over the last five years.
- Per Business Quant data, SHAK's Revenue in the three quarters before Q2 2026 was $366.74 million (Q1 2026), $400.53 million (Q4 2025) and $367.41 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 7.10 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 9.32 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 2.17 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 3.35 Bn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 2.52 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 3.20 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 2.52 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 3.14 Bn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 1.68 Bn |
| 10 | Shake Shack | 2.84 Bn | 1.50 Bn | - | 417.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 1, 2026 | 417.62 Mn |
| Apr 1, 2026 | 366.74 Mn |
| Dec 31, 2025 | 400.53 Mn |
| Sep 24, 2025 | 367.41 Mn |
| Jun 25, 2025 | 356.47 Mn |
| Mar 26, 2025 | 320.90 Mn |
| Dec 25, 2024 | 328.68 Mn |
| Sep 25, 2024 | 316.92 Mn |
| Jun 26, 2024 | 316.50 Mn |
| Mar 27, 2024 | 290.50 Mn |
| Dec 27, 2023 | 286.24 Mn |
| Sep 27, 2023 | 276.21 Mn |
| Jun 28, 2023 | 271.81 Mn |
| Mar 29, 2023 | 253.28 Mn |
| Dec 28, 2022 | 238.53 Mn |
| Sep 28, 2022 | 227.81 Mn |
| Jun 29, 2022 | 230.75 Mn |
| Mar 30, 2022 | 203.39 Mn |
| Dec 29, 2021 | 203.26 Mn |
| Sep 29, 2021 | 193.90 Mn |
API Access
Shake Shack Revenue 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=revenue&ticker=SHAK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=SHAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();