Krispy Kreme (DNUT) Enterprise Value (2021 - 2026)
Krispy Kreme's Enterprise Value was $591.41 million in the quarter ended Jun 28, 2026, up 29.6% from $456.39 million a year earlier and up 22.3% from the prior quarter.
Krispy Kreme (DNUT) Enterprise Value (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Krispy Kreme's Enterprise Value was $444.1 million through Jun 28, 2026, up 15.9% year-over-year; for the year ended Dec 28, 2025, it came in at $716.05 million, down 56.9% from the prior year.
- Enterprise Value shows a three-year compound annual growth rate of -26.1% (years ended Dec 2022 to Dec 2025).
- In earlier years, Enterprise Value was $1.66 billion in the year ended Dec 29, 2024 (-35.4%), $2.57 billion in the year ended Dec 31, 2023 (+44.9%) and $1.77 billion in the year ended Jan 1, 2023.
- Quarterly Enterprise Value has moved between $456.39 million (the quarter ended Jun 29, 2025) and $2.69 billion (the quarter ended Apr 2, 2023) over five years.
- Compared with a year earlier, Enterprise Value was higher in 1 of the last eight quarters, with an average decline of 41.6%.
- The best year-over-year quarter for Enterprise Value over five years was the quarter ended Dec 31, 2023 (growth of 44.9%); the worst was the quarter ended Jun 29, 2025 (a decline of 75.8%).
- Per Business Quant data, DNUT's Enterprise Value in the three quarters before the quarter ended Jun 28, 2026 was $483.72 million (quarter ended Mar 29, 2026), $716.05 million (quarter ended Dec 28, 2025) and $580.24 million (quarter ended Sep 28, 2025).
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
| Date | Value |
|---|---|
| Jun 28, 2026 | 591.41 Mn |
| Mar 29, 2026 | 483.72 Mn |
| Dec 28, 2025 | 716.05 Mn |
| Sep 28, 2025 | 580.24 Mn |
| Jun 29, 2025 | 456.39 Mn |
| Mar 30, 2025 | 862.56 Mn |
| Dec 29, 2024 | 1.66 Bn |
| Sep 29, 2024 | 1.86 Bn |
| Jun 30, 2024 | 1.89 Bn |
| Mar 31, 2024 | 2.63 Bn |
| Dec 31, 2023 | 2.57 Bn |
| Oct 1, 2023 | 2.17 Bn |
| Jul 2, 2023 | 2.55 Bn |
| Apr 2, 2023 | 2.69 Bn |
| Jan 1, 2023 | 1.77 Bn |
| Oct 2, 2022 | 2.00 Bn |
| Jul 3, 2022 | 2.35 Bn |
| Apr 3, 2022 | 2.43 Bn |
| Jan 2, 2022 | 3.23 Bn |
| Oct 3, 2021 | 2.42 Bn |
Krispy Kreme Enterprise Value 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=enterprise-value&ticker=DNUT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=DNUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();