Shake Shack (SHAK) Other Operating Expenses (2014 - 2026)
Shake Shack (SHAK) posted Other Operating Expenses of $63.12 million for Q2 2026, up 24.3% from $50.77 million a year earlier and up 9.7% from the prior quarter.
Shake Shack (SHAK) Other Operating Expenses (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jul 1, 2026, Other Operating Expenses at Shake Shack was $234.28 million, up 22.3% year-over-year; for FY2025, it came in at $212.68 million, up 19.2% from FY2024.
- Annual Other Operating Expenses has increased for 12 consecutive years, with a five-year compound annual growth rate of 23.8% (FY2020 to FY2025).
- In prior years, Shake Shack's Other Operating Expenses was $178.38 million in FY2024 (+19.4%), $149.45 million in FY2023 (+15.3%), $129.65 million in FY2022 (+27.1%) and $102.03 million in FY2021 (+39.3%).
- The Q2 2026 figure stands as the highest quarterly Other Operating Expenses in data going back to Q1 2014.
- On a year-over-year basis, Other Operating Expenses has increased in each of the last 23 quarters, with growth averaging 19.5% over the last eight quarters.
- The year-over-year growth in Other Operating Expenses has ranged between 10.8% (Q3 2023) and 42.0% (Q3 2021) over the last five years.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $57.51 million (Q1 2026), $59.87 million (Q4 2025) and $53.78 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - |
| 10 | Shake Shack | 2.84 Bn | 1.50 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jul 1, 2026 | 69.33 Mn |
| Apr 1, 2026 | 63.52 Mn |
| Dec 31, 2025 | 68.52 Mn |
| Sep 24, 2025 | 57.89 Mn |
| Jun 25, 2025 | 54.84 Mn |
| Mar 26, 2025 | 49.42 Mn |
| Dec 25, 2024 | 82.78 Mn |
| Sep 25, 2024 | 20.14 Mn |
| Jun 26, 2024 | 46.92 Mn |
| Mar 27, 2024 | 44.08 Mn |
| Dec 27, 2023 | 48.32 Mn |
| Sep 27, 2023 | 41.78 Mn |
| Jun 28, 2023 | 41.69 Mn |
| Mar 29, 2023 | 38.49 Mn |
| Dec 28, 2022 | 40.12 Mn |
| Sep 28, 2022 | 36.72 Mn |
| Jun 29, 2022 | 34.97 Mn |
| Mar 30, 2022 | 32.88 Mn |
| Dec 29, 2021 | 32.52 Mn |
| Sep 29, 2021 | 29.55 Mn |
Shake Shack Other Operating 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=other-operating-expenses&ticker=SHAK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=SHAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();