Krispy Kreme (DNUT) Prepaid Assets (2021 - 2026)
Krispy Kreme (DNUT) recorded Prepaid Assets of $20.77 million in the quarter ended Jun 28, 2026, down 12.7% from $23.77 million a year earlier but up 11.6% from the prior quarter.
Krispy Kreme (DNUT) Prepaid Assets (2021 - 2026) Analysis & Trends
As of Dec 28, 2025, Krispy Kreme reported Prepaid Assets of $18.93 million, down 40.1% from the prior year.
- Annual Prepaid Assets has a four-year compound annual growth rate of 10.5% (years ended Dec 2021 to Dec 2025).
- Across earlier years, Prepaid Assets came in at $31.62 million in the year ended Dec 29, 2024 (+24.7%), $25.36 million in the year ended Dec 31, 2023 (-5.9%), $26.95 million in the year ended Jan 1, 2023 and $12.69 million in the year ended Jan 3, 2021.
- Quarterly Prepaid Assets has ranged from $18.61 million in the quarter ended Mar 29, 2026 to $31.64 million in the quarter ended Jul 2, 2023 over the past five years.
- On a year-over-year basis, Prepaid Assets has declined for three consecutive quarters, with an average decline of 7.8% over the last eight quarters.
- Peak year-over-year performance for Prepaid Assets in the last five years was growth of 24.7% in the quarter ended Dec 29, 2024, against a decline of 40.1% in the quarter ended Dec 28, 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $18.61 million (quarter ended Mar 29, 2026), $18.93 million (quarter ended Dec 28, 2025) and $29.11 million (quarter ended Sep 28, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 178.84 Bn | 173.66 Bn | 6.42 Bn |
| 2 | Starbucks | 115.91 Bn | 103.53 Bn | - |
| 3 | Yum Brands | 42.35 Bn | 39.23 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 35.66 Bn | 31.64 Bn | - |
| 5 | Restaurant Brands International | 26.55 Bn | 22.11 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.69 Bn | 23.79 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 16.93 Bn | 12.49 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.53 Bn | 9.19 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 11.32 Bn | 10.66 Bn | - |
| 10 | Krispy Kreme | 509.97 Mn | 340.83 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 20.77 Mn |
| Mar 29, 2026 | 18.61 Mn |
| Dec 28, 2025 | 18.93 Mn |
| Sep 28, 2025 | 29.11 Mn |
| Jun 29, 2025 | 23.77 Mn |
| Mar 30, 2025 | 21.05 Mn |
| Dec 29, 2024 | 31.62 Mn |
| Sep 29, 2024 | 25.53 Mn |
| Jun 30, 2024 | 24.11 Mn |
| Mar 31, 2024 | 25.46 Mn |
| Dec 31, 2023 | 25.36 Mn |
| Oct 1, 2023 | 31.12 Mn |
| Jul 2, 2023 | 31.64 Mn |
| Apr 2, 2023 | 21.14 Mn |
| Jan 1, 2023 | 26.95 Mn |
| Oct 2, 2022 | 33.13 Mn |
| Jul 3, 2022 | 29.26 Mn |
| Apr 3, 2022 | 19.89 Mn |
| Jan 2, 2022 | 20.70 Mn |
| Oct 3, 2021 | 22.07 Mn |
Krispy Kreme Prepaid 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=prepaid-assets&ticker=DNUT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-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=prepaid-assets&ticker=DNUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();