Krispy Kreme (DNUT) Market Capitalization (2021 - 2026)
Krispy Kreme (DNUT) recorded Market Capitalization of $611.51 million in the quarter ended Jun 28, 2026, up 35.0% from $453.05 million a year earlier and up 9.9% from the prior quarter.
Krispy Kreme (DNUT) Market Capitalization (2021 - 2026) Analysis & Trends
For the year ended Dec 28, 2025, Krispy Kreme reported Market Capitalization of $734.26 million, down 55.9% from the prior year.
- Annual Market Capitalization has a three-year compound annual growth rate of -24.9% (years ended Dec 2022 to Dec 2025).
- Across earlier years, Market Capitalization came in at $1.66 billion in the year ended Dec 29, 2024 (-34.6%), $2.54 billion in the year ended Dec 31, 2023 (+46.6%) and $1.74 billion in the year ended Jan 1, 2023.
- Quarterly Market Capitalization has ranged from $453.05 million in the quarter ended Jun 29, 2025 to $2.62 billion in the quarter ended Apr 2, 2023 over the past five years.
- On a year-over-year basis, Market Capitalization rose in 1 of the last eight quarters, with an average decline of 39.0%.
- Peak year-over-year performance for Market Capitalization in the last five years was growth of 46.6% in the quarter ended Dec 31, 2023, against a decline of 75.1% in the quarter ended Jun 29, 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $556.46 million (quarter ended Mar 29, 2026), $734.26 million (quarter ended Dec 28, 2025) and $587.37 million (quarter ended Sep 28, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 198.08 Bn | 192.90 Bn | 6.42 Bn |
| 2 | Starbucks | 123.34 Bn | 110.96 Bn | - |
| 3 | Chipotle Mexican Grill | 45.28 Bn | 41.78 Bn | - |
| 4 | Yum Brands | 43.42 Bn | 40.31 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 26.75 Bn | 22.54 Bn | 1.40 Bn |
| 6 | Darden Restaurants | 25.71 Bn | 24.80 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn |
| 8 | Yum China Holdings | 17.17 Bn | 10.82 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 12.34 Bn | 11.68 Bn | - |
| 10 | Krispy Kreme | 678.30 Mn | 509.57 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 502.03 Mn |
| Jun 28, 2026 | 611.51 Mn |
| Mar 29, 2026 | 556.46 Mn |
| Dec 28, 2025 | 734.26 Mn |
| Sep 28, 2025 | 587.37 Mn |
| Jun 29, 2025 | 453.05 Mn |
| Mar 30, 2025 | 851.50 Mn |
| Dec 29, 2024 | 1.66 Bn |
| Sep 29, 2024 | 1.85 Bn |
| Jun 30, 2024 | 1.82 Bn |
| Mar 31, 2024 | 2.57 Bn |
| Dec 31, 2023 | 2.54 Bn |
| Oct 1, 2023 | 2.10 Bn |
| Jul 2, 2023 | 2.48 Bn |
| Apr 2, 2023 | 2.62 Bn |
| Jan 1, 2023 | 1.74 Bn |
| Oct 2, 2022 | 1.93 Bn |
| Jul 3, 2022 | 2.28 Bn |
| Apr 3, 2022 | 2.36 Bn |
| Jan 2, 2022 | 3.16 Bn |
Krispy Kreme Market Capitalization 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=market-capitalization&ticker=DNUT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=DNUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();