Krispy Kreme (DNUT) Cash & Equivalents (2020 - 2026)
Krispy Kreme (DNUT) reported Cash & Equivalents of $21.83 million for the quarter ended Jun 28, 2026, up 2.6% from $21.26 million a year earlier but down 70.6% from the prior quarter.
Krispy Kreme (DNUT) Cash & Equivalents (2020 - 2026) Analysis & Trends
As of Dec 28, 2025, Krispy Kreme posted Cash & Equivalents of $42.39 million, up 46.4% from the prior year.
- Cash & Equivalents has a four-year compound annual growth rate of 3.1% (years ended Dec 2021 to Dec 2025).
- By year, Cash & Equivalents came in at $28.96 million in the year ended Dec 29, 2024 (-24.2%), $38.19 million in the year ended Dec 31, 2023 (+8.0%), $35.37 million in the year ended Jan 1, 2023 and $37.46 million in the year ended Jan 3, 2021.
- Five-year quarterly Cash & Equivalents spans a low of $18.72 million in the quarter ended Mar 30, 2025 and a high of $74.22 million in the quarter ended Mar 29, 2026.
- Year over year, Cash & Equivalents has now increased in each of the last four quarters, with growth averaging 34.0% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was the quarter ended Mar 29, 2026 (growth of 296.4%); the low point was the quarter ended Mar 30, 2025 (a decline of 43.5%).
- Per Business Quant data, the three quarters before the quarter ended Jun 28, 2026 came in at $74.22 million (quarter ended Mar 29, 2026), $42.39 million (quarter ended Dec 28, 2025) and $30.71 million (quarter ended Sep 28, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 174.41 Bn | 169.23 Bn | 6.42 Bn | 822.00 Mn |
| 2 | Starbucks | 112.93 Bn | 100.55 Bn | - | 3.45 Bn |
| 3 | Yum Brands | 41.62 Bn | 38.50 Bn | 1.47 Bn | 674.00 Mn |
| 4 | Chipotle Mexican Grill | 35.98 Bn | 31.96 Bn | - | 228.20 Mn |
| 5 | Restaurant Brands International | 25.83 Bn | 21.38 Bn | 1.38 Bn | 1.06 Bn |
| 6 | Darden Restaurants | 24.40 Bn | 23.49 Bn | 1.68 Bn | 220.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.06 Bn |
| 8 | Yum China Holdings | 15.50 Bn | 9.16 Bn | 537.00 Mn | 485.00 Mn |
| 9 | Texas Roadhouse | 11.02 Bn | 10.36 Bn | - | 202.43 Mn |
| 10 | Krispy Kreme | 495.30 Mn | 326.16 Mn | - | 21.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 21.83 Mn |
| Mar 29, 2026 | 74.22 Mn |
| Dec 28, 2025 | 42.39 Mn |
| Sep 28, 2025 | 30.71 Mn |
| Jun 29, 2025 | 21.26 Mn |
| Mar 30, 2025 | 18.72 Mn |
| Dec 29, 2024 | 28.96 Mn |
| Sep 29, 2024 | 25.41 Mn |
| Jun 30, 2024 | 28.63 Mn |
| Mar 31, 2024 | 33.13 Mn |
| Dec 31, 2023 | 38.19 Mn |
| Oct 1, 2023 | 25.71 Mn |
| Jul 2, 2023 | 26.64 Mn |
| Apr 2, 2023 | 29.68 Mn |
| Jan 1, 2023 | 35.37 Mn |
| Oct 2, 2022 | 28.10 Mn |
| Jul 3, 2022 | 25.80 Mn |
| Apr 3, 2022 | 31.62 Mn |
| Jan 2, 2022 | 38.56 Mn |
| Oct 3, 2021 | 44.90 Mn |
Krispy Kreme Cash & Equivalents 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=cash-and-equivalents&ticker=DNUT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=DNUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();