Krispy Kreme (DNUT) Accumulated Expenses (2021 - 2026)
Krispy Kreme (DNUT) recorded Accumulated Expenses of $91.63 million in the quarter ended Jun 28, 2026, down 17.3% from $110.87 million a year earlier and down 24.0% from the prior quarter.
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Analysis
Krispy Kreme (DNUT) Accumulated Expenses (2021 - 2026) Analysis & Trends
As of Dec 28, 2025, Krispy Kreme reported Accumulated Expenses of $99.81 million, down 19.6% from the prior year.
- Annual Accumulated Expenses has a four-year compound annual growth rate of -5.5% (years ended Dec 2021 to Dec 2025).
- Across earlier years, Accumulated Expenses came in at $124.21 million in the year ended Dec 29, 2024 (-7.3%), $134.01 million in the year ended Dec 31, 2023 (+28.3%), $104.42 million in the year ended Jan 1, 2023 and $124.95 million in the year ended Jan 3, 2021.
- The figure for the quarter ended Jun 28, 2026 is the lowest quarterly Accumulated Expenses since the quarter ended Apr 2, 2023.
- On a year-over-year basis, Accumulated Expenses rose in 1 of the last eight quarters, with an average decline of 10.6%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 41.1% in the quarter ended Mar 31, 2024, against a decline of 27.2% in the quarter ended Sep 29, 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $120.64 million (quarter ended Mar 29, 2026), $99.81 million (quarter ended Dec 28, 2025) and $103.67 million (quarter ended Sep 28, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 174.41 Bn | 169.23 Bn | 6.42 Bn |
| 2 | Starbucks | 112.93 Bn | 100.55 Bn | - |
| 3 | Yum Brands | 41.62 Bn | 38.50 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 35.98 Bn | 31.96 Bn | - |
| 5 | Restaurant Brands International | 25.83 Bn | 21.38 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.40 Bn | 23.49 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.50 Bn | 9.16 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 11.02 Bn | 10.36 Bn | - |
| 10 | Krispy Kreme | 495.30 Mn | 326.16 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 91.63 Mn |
| Mar 29, 2026 | 120.64 Mn |
| Dec 28, 2025 | 99.81 Mn |
| Sep 28, 2025 | 103.67 Mn |
| Jun 29, 2025 | 110.87 Mn |
| Mar 30, 2025 | 115.03 Mn |
| Dec 29, 2024 | 124.21 Mn |
| Sep 29, 2024 | 119.83 Mn |
| Jun 30, 2024 | 114.27 Mn |
| Mar 31, 2024 | 117.09 Mn |
| Dec 31, 2023 | 134.01 Mn |
| Oct 1, 2023 | 164.58 Mn |
| Jul 2, 2023 | 96.20 Mn |
| Apr 2, 2023 | 82.96 Mn |
| Jan 1, 2023 | 104.42 Mn |
| Oct 2, 2022 | 111.82 Mn |
| Jul 3, 2022 | 108.50 Mn |
| Apr 3, 2022 | 105.73 Mn |
| Jan 2, 2022 | 140.75 Mn |
| Oct 3, 2021 | 132.64 Mn |
API Access
Krispy Kreme 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=DNUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=DNUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();