Shake Shack (SHAK) Accumulated Expenses (2014 - 2026)
Shake Shack (SHAK) recorded Accumulated Expenses of $92.32 million in Q2 2026, up 15.8% from $79.74 million a year earlier but down 3.3% from the prior quarter.
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Analysis
Shake Shack (SHAK) Accumulated Expenses (2014 - 2026) Analysis & Trends
At the end of FY2025, Shake Shack reported Accumulated Expenses of $103.35 million, up 64.0% from FY2024.
- Annual Accumulated Expenses has increased for 11 straight years, with a five-year compound annual growth rate of 31.9% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $63.01 million in FY2024 (+15.1%), $54.74 million in FY2023 (+14.2%), $47.95 million in FY2022 (+30.0%) and $36.89 million in FY2021 (+42.3%).
- Quarterly Accumulated Expenses has ranged from $34.17 million in Q3 2021 to $103.35 million in Q4 2025 over the past five years.
- On a year-over-year basis, Accumulated Expenses has increased for 11 consecutive quarters, with growth averaging 34.4% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 64.0% in Q4 2025, against a decline of 3.6% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $95.49 million (Q1 2026), $103.35 million (Q4 2025) and $93.95 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 196.89 Bn | 191.71 Bn | 6.42 Bn |
| 2 | Starbucks | 120.36 Bn | 107.99 Bn | - |
| 3 | Yum Brands | 44.73 Bn | 41.61 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 44.32 Bn | 40.82 Bn | - |
| 5 | Restaurant Brands International | 27.29 Bn | 23.08 Bn | 1.40 Bn |
| 6 | Darden Restaurants | 25.76 Bn | 24.86 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn |
| 8 | Yum China Holdings | 17.29 Bn | 10.94 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 12.17 Bn | 11.51 Bn | - |
| 10 | Shake Shack | 2.90 Bn | 1.56 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 1, 2026 | 92.32 Mn |
| Apr 1, 2026 | 95.49 Mn |
| Dec 31, 2025 | 103.35 Mn |
| Sep 24, 2025 | 93.95 Mn |
| Jun 25, 2025 | 79.74 Mn |
| Mar 26, 2025 | 70.86 Mn |
| Dec 25, 2024 | 63.01 Mn |
| Sep 25, 2024 | 65.82 Mn |
| Jun 26, 2024 | 56.38 Mn |
| Mar 27, 2024 | 57.37 Mn |
| Dec 27, 2023 | 54.74 Mn |
| Sep 27, 2023 | 47.63 Mn |
| Jun 28, 2023 | 50.59 Mn |
| Mar 29, 2023 | 45.68 Mn |
| Dec 28, 2022 | 47.95 Mn |
| Sep 28, 2022 | 49.39 Mn |
| Jun 29, 2022 | 40.01 Mn |
| Mar 30, 2022 | 39.00 Mn |
| Dec 29, 2021 | 36.89 Mn |
| Sep 29, 2021 | 34.17 Mn |
API Access
Shake Shack Accumulated Expenses 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=accumulated-expenses&ticker=SHAK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=SHAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();