Shake Shack (SHAK) Accumulated Expenses (2014 - 2026)
Shake Shack's (SHAK) quarterly Accumulated Expenses came in at $92.3 million in Q3 2026, up 15.77% year-over-year from $79.7 million in Q3 2025, and down 3.32% quarter-over-quarter from $95.5 million in Q2 2026.
Shake Shack (SHAK) Accumulated Expenses (2014 - 2026) Analysis & Trends
Shake Shack (SHAK) has reported Accumulated Expenses for 13 consecutive years, with $92.3 million the latest figure, recorded in Q3 2026.
- On a quarterly basis, Accumulated Expenses rose 15.77% year-over-year to $92.3 million in Q3 2026; TTM through Jul 2026 was $92.3 million, a 15.77% increase from a year earlier, with the FY2025 full-year figure at $103.4 million, up 64.04% from the prior year.
- Accumulated Expenses was $92.3 million for Q3 2026 at Shake Shack, down from $95.5 million in the prior quarter.
- Over five years, Accumulated Expenses peaked at $103.4 million in Q4 2025 and troughed at $39.0 million in Q1 2022.
- A 5-year average of $64.1 million and a median of $56.9 million in 2024 frame the typical range for Accumulated Expenses.
- Across the five-year window, Accumulated Expenses slipped 3.56% in 2023 and jumped 64.04% in 2025, its largest moves.
- Over 5 years, Accumulated Expenses stood at $47.9 million in 2022, then climbed by 14.18% to $54.7 million in 2023, then gained by 15.09% to $63.0 million in 2024, then soared by 64.04% to $103.4 million in 2025, then slipped by 10.68% to $92.3 million in 2026.
- The last three Accumulated Expenses figures came in at $92.3 million (Q3 2026), $95.5 million (Q2 2026), and $103.4 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn |
| 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 |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn |
| 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
| 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 |
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_KEY
import 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();