Krispy Kreme (DNUT) Assets (2021 - 2026)
Krispy Kreme's Assets came in at $2.36 billion for the quarter ended Jun 28, 2026, down 10.2% from $2.63 billion a year earlier and down 1.0% from the prior quarter.
Krispy Kreme (DNUT) Assets (2021 - 2026) Analysis & Trends
As of Dec 28, 2025, Krispy Kreme's Assets was $2.59 billion, down 15.6% from the prior year.
- Assets carries a four-year compound annual growth rate of -4.1% (years ended Dec 2021 to Dec 2025).
- Going back by year, Assets was $3.07 billion in the year ended Dec 29, 2024 (-5.2%), $3.24 billion in the year ended Dec 31, 2023 (+2.9%), $3.15 billion in the year ended Jan 1, 2023 and $3.06 billion in the year ended Jan 3, 2021.
- The figure for the quarter ended Jun 28, 2026 represents the lowest quarterly Assets in data going back to the quarter ended Jan 1, 2023.
- Year-over-year, Assets has declined for eight consecutive quarters, with an average decline of 11.9% over the last eight quarters.
- The fastest year-over-year change in Assets over five years came in the quarter ended Dec 31, 2023 (growth of 2.9%), and the weakest in the quarter ended Mar 29, 2026 (a decline of 22.7%).
- Business Quant data shows DNUT's Assets at $2.39 billion (quarter ended Mar 29, 2026), $2.59 billion (quarter ended Dec 28, 2025) and $2.6 billion (quarter ended Sep 28, 2025) in the three quarters before the quarter ended Jun 28, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 174.22 Bn | 169.05 Bn | 6.42 Bn | 59.92 Bn |
| 2 | Starbucks | 112.11 Bn | 99.73 Bn | - | 28.29 Bn |
| 3 | Yum Brands | 41.52 Bn | 38.40 Bn | 1.47 Bn | 8.68 Bn |
| 4 | Chipotle Mexican Grill | 35.76 Bn | 31.74 Bn | - | 8.86 Bn |
| 5 | Restaurant Brands International | 25.81 Bn | 21.36 Bn | 1.38 Bn | 25.02 Bn |
| 6 | Darden Restaurants | 24.39 Bn | 23.48 Bn | 1.68 Bn | 13.23 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 25.02 Bn |
| 8 | Yum China Holdings | 15.42 Bn | 9.08 Bn | 537.00 Mn | 10.87 Bn |
| 9 | Texas Roadhouse | 10.94 Bn | 10.28 Bn | - | 3.67 Bn |
| 10 | Krispy Kreme | 497.51 Mn | 328.37 Mn | - | 2.36 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 2.36 Bn |
| Mar 29, 2026 | 2.39 Bn |
| Dec 28, 2025 | 2.59 Bn |
| Sep 28, 2025 | 2.60 Bn |
| Jun 29, 2025 | 2.63 Bn |
| Mar 30, 2025 | 3.09 Bn |
| Dec 29, 2024 | 3.07 Bn |
| Sep 29, 2024 | 3.07 Bn |
| Jun 30, 2024 | 3.22 Bn |
| Mar 31, 2024 | 3.23 Bn |
| Dec 31, 2023 | 3.24 Bn |
| Oct 1, 2023 | 3.19 Bn |
| Jul 2, 2023 | 3.17 Bn |
| Apr 2, 2023 | 3.14 Bn |
| Jan 1, 2023 | 3.15 Bn |
| Oct 2, 2022 | 3.10 Bn |
| Jul 3, 2022 | 3.10 Bn |
| Apr 3, 2022 | 3.13 Bn |
| Jan 2, 2022 | 3.15 Bn |
| Oct 3, 2021 | 3.10 Bn |
Krispy Kreme Assets 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=assets&ticker=DNUT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=DNUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();