Krispy Kreme (DNUT) Change in Accrued Expenses (2025 - 2026)
Krispy Kreme (DNUT) reported Change in Accured Expenses of $15.08 million for the year ended Dec 28, 2025, compared with -$20.16 million a year earlier.
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Analysis
Krispy Kreme (DNUT) Change in Accrued Expenses (2025 - 2026) Analysis & Trends
Dating back to the year ended Dec 29, 2019, Krispy Kreme's Change in Accured Expenses record includes 6 years.
- Change in Accured Expenses has a four-year compound annual growth rate of 4.0% (years ended Dec 2021 to Dec 2025).
- The figure for the year ended Dec 28, 2025 ranks as the highest annual Change in Accured Expenses since the year ended Jan 1, 2023.
- According to Business Quant data, Change in Accured Expenses came in at -$20.16 million in the year ended Dec 29, 2024, -$74.47 million in the year ended Dec 31, 2023, $32.02 million in the year ended Jan 1, 2023 and $12.91 million in the year ended Jan 3, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 199.07 Bn | 195.11 Bn | 6.47 Bn | - |
| 2 | Starbucks | 125.34 Bn | 125.35 Bn | - | - |
| 3 | Chipotle Mexican Grill | 45.50 Bn | 42.00 Bn | - | 13.30 Mn |
| 4 | Yum Brands | 42.97 Bn | 38.79 Bn | 1.38 Bn | 65.00 Mn |
| 5 | Restaurant Brands International | 27.07 Bn | 24.44 Bn | 1.40 Bn | 129.00 Mn |
| 6 | Darden Restaurants | 25.87 Bn | 24.97 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 | 16.86 Bn | 11.73 Bn | 652.00 Mn | -18.00 Mn |
| 9 | Texas Roadhouse | 12.35 Bn | 11.68 Bn | 1.02 Bn | -10.77 Mn |
| 10 | Krispy Kreme | 668.80 Mn | 480.89 Mn | - | 16.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 16.55 Mn |
| Jun 28, 2026 | 4.07 Mn |
| Dec 28, 2025 | 36.38 Mn |
| Sep 28, 2025 | -21.31 Mn |
| Jun 29, 2025 | -12.63 Mn |
API Access
Krispy Kreme 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=DNUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "DNUT", "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=DNUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();