Shake Shack (SHAK) EBITDA (2014 - 2026)
Shake Shack (SHAK) posted EBITDA of $51.99 million for Q2 2026, up 5.1% from $49.48 million a year earlier and up 92.6% from the prior quarter.
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Analysis
Shake Shack (SHAK) EBITDA (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jul 1, 2026, EBITDA at Shake Shack was $170.82 million, up 37.4% year-over-year; for FY2025, it came in at $171.3 million, up 59.1% from FY2024.
- Annual EBITDA has increased for five consecutive years, with a five-year compound annual growth rate of 93.2% (FY2020 to FY2025).
- In prior years, Shake Shack's EBITDA was $107.64 million in FY2024 (+8.8%), $98.96 million in FY2023 (+108.8%), $47.4 million in FY2022 (+6.8%) and $44.38 million in FY2021 (+596.9%).
- The Q2 2026 figure stands as the highest quarterly EBITDA in data going back to Q1 2014.
- On a year-over-year basis, EBITDA increased in six of the last eight quarters, with growth averaging 63.8%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q1 2023, with growth of 724.7%; the weakest was Q3 2024, with a decline of 71.7%.
- According to Business Quant data, EBITDA for the three prior quarters was $27 million (Q1 2026), $45.69 million (Q4 2025) and $46.14 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 3.90 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 1.37 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 715.00 Mn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 623.92 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 799.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 463.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 799.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 468.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 201.13 Mn |
| 10 | Shake Shack | 2.84 Bn | 1.50 Bn | - | 52.26 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 1, 2026 | 52.26 Mn |
| Apr 1, 2026 | 51.69 Mn |
| Dec 31, 2025 | 70.05 Mn |
| Sep 24, 2025 | 46.40 Mn |
| Jun 25, 2025 | 49.74 Mn |
| Mar 26, 2025 | 50.67 Mn |
| Dec 25, 2024 | 56.53 Mn |
| Sep 25, 2024 | 8.53 Mn |
| Jun 26, 2024 | 37.07 Mn |
| Mar 27, 2024 | 44.48 Mn |
| Dec 27, 2023 | 41.73 Mn |
| Sep 27, 2023 | 29.49 Mn |
| Jun 28, 2023 | 43.96 Mn |
| Mar 29, 2023 | 34.65 Mn |
| Dec 28, 2022 | 28.93 Mn |
| Sep 28, 2022 | 29.37 Mn |
| Jun 29, 2022 | 31.95 Mn |
| Mar 30, 2022 | 15.93 Mn |
| Dec 29, 2021 | 23.07 Mn |
| Sep 29, 2021 | 25.34 Mn |
API Access
Shake Shack EBITDA 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=ebitda&ticker=SHAK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SHAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();