Krispy Kreme (DNUT) Goodwill (2021 - 2026)
Krispy Kreme's Goodwill came in at $669.75 million for the quarter ended Jun 28, 2026, down 5.9% from $711.78 million a year earlier but up 0.1% from the prior quarter.
Krispy Kreme (DNUT) Goodwill (2021 - 2026) Analysis & Trends
As of Dec 28, 2025, Krispy Kreme's Goodwill was $712.26 million, down 32.0% from the prior year.
- Goodwill carries a four-year compound annual growth rate of -10.0% (years ended Dec 2021 to Dec 2025).
- Going back by year, Goodwill was $1.05 billion in the year ended Dec 29, 2024 (-4.9%), $1.1 billion in the year ended Dec 31, 2023 (+1.3%), $1.09 billion in the year ended Jan 1, 2023 and $1.09 billion in the year ended Jan 3, 2021.
- The five-year range for quarterly Goodwill is $669.27 million (the quarter ended Mar 29, 2026) to $1.1 billion (the quarter ended Dec 31, 2023).
- Year-over-year, Goodwill has declined for nine consecutive quarters, with an average decline of 19.3% over the last eight quarters.
- The fastest year-over-year change in Goodwill over five years came in the quarter ended Dec 31, 2023 (growth of 1.3%), and the weakest in the quarter ended Mar 29, 2026 (a decline of 36.4%).
- Business Quant data shows DNUT's Goodwill at $669.27 million (quarter ended Mar 29, 2026), $712.26 million (quarter ended Dec 28, 2025) and $708.37 million (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) |
|---|---|---|---|---|
| 1 | Mcdonalds | 174.76 Bn | 169.58 Bn | 6.42 Bn |
| 2 | Starbucks | 112.71 Bn | 100.33 Bn | - |
| 3 | Yum Brands | 41.47 Bn | 38.35 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 36.07 Bn | 32.05 Bn | - |
| 5 | Restaurant Brands International | 26.01 Bn | 21.56 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.37 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 | 15.44 Bn | 9.10 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.97 Bn | 10.31 Bn | - |
| 10 | Krispy Kreme | 501.34 Mn | 332.20 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 669.75 Mn |
| Mar 29, 2026 | 669.27 Mn |
| Dec 28, 2025 | 712.26 Mn |
| Sep 28, 2025 | 708.37 Mn |
| Jun 29, 2025 | 711.78 Mn |
| Mar 30, 2025 | 1.05 Bn |
| Dec 29, 2024 | 1.05 Bn |
| Sep 29, 2024 | 1.06 Bn |
| Jun 30, 2024 | 1.10 Bn |
| Mar 31, 2024 | 1.10 Bn |
| Dec 31, 2023 | 1.10 Bn |
| Oct 1, 2023 | 1.09 Bn |
| Jul 2, 2023 | 1.10 Bn |
| Apr 2, 2023 | 1.09 Bn |
| Jan 1, 2023 | 1.09 Bn |
| Oct 2, 2022 | 1.07 Bn |
| Jul 3, 2022 | 1.08 Bn |
| Apr 3, 2022 | 1.11 Bn |
| Jan 2, 2022 | 1.11 Bn |
| Oct 3, 2021 | 1.09 Bn |
Krispy Kreme Goodwill 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=goodwill&ticker=DNUT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill", "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=goodwill&ticker=DNUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();