Krispy Kreme (DNUT) Other Operating Expenses (2020 - 2026)
Krispy Kreme (DNUT) reported Other Operating Expenses of $158.87 million for the quarter ended Jun 28, 2026, down 24.6% from $210.71 million a year earlier and down 15.5% from the prior quarter.
Krispy Kreme (DNUT) Other Operating Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, Krispy Kreme's Other Operating Expenses came in at $736.44 million, down 8.1% year-over-year; for the year ended Dec 28, 2025, it was $799.02 million, down 1.3% from the prior year.
- Other Operating Expenses has a four-year compound annual growth rate of 13.1% (years ended Dec 2021 to Dec 2025).
- By year, Other Operating Expenses came in at $809.92 million in the year ended Dec 29, 2024 (+4.3%), $776.59 million in the year ended Dec 31, 2023 (+10.3%), $704.29 million in the year ended Jan 1, 2023 and $488.06 million in the year ended Jan 3, 2021.
- The figure for the quarter ended Jun 28, 2026 ranks as the lowest quarterly Other Operating Expenses in data going back to the quarter ended Jan 1, 2023.
- Year over year, Other Operating Expenses has now declined in each of the last three quarters, with an average decline of 4.6% over the last eight quarters.
- The high point for year-over-year Other Operating Expenses in five years was the quarter ended Jun 30, 2024 (growth of 12.3%); the low point was the quarter ended Jun 28, 2026 (a decline of 24.6%).
- Per Business Quant data, the three quarters before the quarter ended Jun 28, 2026 came in at $188.11 million (quarter ended Mar 29, 2026), $193.53 million (quarter ended Dec 28, 2025) and $195.94 million (quarter ended Sep 28, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 173.51 Bn | 168.33 Bn | 6.42 Bn |
| 2 | Starbucks | 112.13 Bn | 99.75 Bn | - |
| 3 | Yum Brands | 41.26 Bn | 38.15 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 36.04 Bn | 32.02 Bn | - |
| 5 | Restaurant Brands International | 25.95 Bn | 21.50 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.47 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.42 Bn | 9.08 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.95 Bn | 10.29 Bn | - |
| 10 | Krispy Kreme | 499.61 Mn | 330.47 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 157.83 Mn |
| Mar 29, 2026 | 187.54 Mn |
| Dec 28, 2025 | 201.31 Mn |
| Sep 28, 2025 | 206.39 Mn |
| Jun 29, 2025 | 220.49 Mn |
| Mar 30, 2025 | 198.53 Mn |
| Dec 29, 2024 | 202.46 Mn |
| Sep 29, 2024 | 198.43 Mn |
| Jun 30, 2024 | 214.52 Mn |
| Mar 31, 2024 | 206.10 Mn |
| Dec 31, 2023 | 210.31 Mn |
| Oct 1, 2023 | 197.54 Mn |
| Jul 2, 2023 | 189.96 Mn |
| Apr 2, 2023 | 197.44 Mn |
| Jan 1, 2023 | 226.92 Mn |
| Oct 2, 2022 | 175.83 Mn |
| Jul 3, 2022 | 173.46 Mn |
| Apr 3, 2022 | 172.69 Mn |
| Oct 3, 2021 | 158.87 Mn |
| Jul 4, 2021 | 160.39 Mn |
Krispy Kreme 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=DNUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=DNUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();