Shake Shack (SHAK) Change in Accrued Expenses (2014 - 2026)
Shake Shack's Change in Accured Expenses was -$1.5 million in Q2 2026, compared with $7.38 million a year earlier.
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Analysis
Shake Shack (SHAK) Change in Accrued Expenses (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Shake Shack's Change in Accured Expenses was $2.94 million through Jul 1, 2026, down 80.7% year-over-year; for FY2025, it came in at $29.9 million, up 350.1% from FY2024.
- Change in Accured Expenses shows a five-year compound annual growth rate of 69.0% (FY2020 to FY2025).
- In earlier years, Change in Accured Expenses was $6.64 million in FY2024 (-30.2%), $9.51 million in FY2023 (+171.6%), $3.5 million in FY2022 (-51.2%) and $7.18 million in FY2021 (+230.6%).
- Quarterly Change in Accured Expenses has moved between -$12.52 million (Q1 2026) and $25.86 million (Q4 2021) over five years.
- Per Business Quant data, SHAK's Change in Accured Expenses in the three quarters before Q2 2026 was -$12.52 million (Q1 2026), $7.82 million (Q4 2025) and $9.13 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 195.98 Bn | 190.80 Bn | 6.42 Bn | - |
| 2 | Starbucks | 120.13 Bn | 107.76 Bn | - | - |
| 3 | Yum Brands | 44.36 Bn | 41.25 Bn | 1.47 Bn | 4.00 Mn |
| 4 | Chipotle Mexican Grill | 43.92 Bn | 40.41 Bn | - | 13.30 Mn |
| 5 | Restaurant Brands International | 27.10 Bn | 22.88 Bn | 1.40 Bn | 129.00 Mn |
| 6 | Darden Restaurants | 25.62 Bn | 24.72 Bn | 1.68 Bn | -51.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 129.00 Mn |
| 8 | Yum China Holdings | 17.38 Bn | 11.04 Bn | 537.00 Mn | 107.00 Mn |
| 9 | Texas Roadhouse | 12.08 Bn | 11.42 Bn | - | 15.18 Mn |
| 10 | Shake Shack | 2.91 Bn | 1.57 Bn | - | -1.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 1, 2026 | -1.50 Mn |
| Apr 1, 2026 | -12.52 Mn |
| Dec 31, 2025 | 7.82 Mn |
| Sep 24, 2025 | 9.13 Mn |
| Jun 25, 2025 | 7.38 Mn |
| Mar 26, 2025 | 5.57 Mn |
| Dec 25, 2024 | -3.48 Mn |
| Sep 25, 2024 | 5.71 Mn |
| Jun 26, 2024 | 2.38 Mn |
| Mar 27, 2024 | 2.03 Mn |
| Dec 27, 2023 | 15.94 Mn |
| Sep 27, 2023 | -7.02 Mn |
| Jun 28, 2023 | 2.61 Mn |
| Mar 29, 2023 | -2.02 Mn |
| Dec 28, 2022 | 21.29 Mn |
| Sep 28, 2022 | -4.58 Mn |
| Jun 29, 2022 | -2.84 Mn |
| Mar 30, 2022 | -10.37 Mn |
| Dec 29, 2021 | 25.86 Mn |
| Sep 29, 2021 | -5.04 Mn |
API Access
Shake Shack Change in Accrued 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=change-in-accured-expenses&ticker=SHAK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=SHAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();