Krispy Kreme (DNUT) Cash from Operations (2020 - 2026)
Krispy Kreme (DNUT) reported Cash from Operations of -$10.21 million for the quarter ended Jun 28, 2026, compared with -$32.54 million a year earlier.
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Analysis
Krispy Kreme (DNUT) Cash from Operations (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, Krispy Kreme's Cash from Operations came in at $97.26 million; for the year ended Dec 28, 2025, it was $33.92 million, down 26.0% from the prior year.
- Cash from Operations has a four-year compound annual growth rate of 4.3% (years ended Dec 2021 to Dec 2025).
- By year, Cash from Operations came in at $45.83 million in the year ended Dec 29, 2024 (+0.6%), $45.54 million in the year ended Dec 31, 2023 (-67.4%), $139.82 million in the year ended Jan 1, 2023 and $28.68 million in the year ended Jan 3, 2021.
- Five-year quarterly Cash from Operations spans a low of -$32.54 million in the quarter ended Jun 29, 2025 and a high of $45.02 million in the quarter ended Dec 28, 2025.
- Per Business Quant data, the three quarters before the quarter ended Jun 28, 2026 came in at $20.17 million (quarter ended Mar 29, 2026), $45.02 million (quarter ended Dec 28, 2025) and $42.28 million (quarter ended Sep 28, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 173.51 Bn | 168.33 Bn | 6.42 Bn | 2.81 Bn |
| 2 | Starbucks | 112.13 Bn | 99.75 Bn | - | 1.64 Bn |
| 3 | Yum Brands | 41.26 Bn | 38.15 Bn | 1.47 Bn | 507.00 Mn |
| 4 | Chipotle Mexican Grill | 36.04 Bn | 32.02 Bn | - | 680.65 Mn |
| 5 | Restaurant Brands International | 25.95 Bn | 21.50 Bn | 1.38 Bn | 530.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.47 Bn | 1.68 Bn | 279.00 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 530.00 Mn |
| 8 | Yum China Holdings | 15.42 Bn | 9.08 Bn | 537.00 Mn | 426.00 Mn |
| 9 | Texas Roadhouse | 10.95 Bn | 10.29 Bn | - | 180.15 Mn |
| 10 | Krispy Kreme | 499.61 Mn | 330.47 Mn | - | -10.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | -10.21 Mn |
| Mar 29, 2026 | 20.17 Mn |
| Dec 28, 2025 | 45.02 Mn |
| Sep 28, 2025 | 42.28 Mn |
| Jun 29, 2025 | -32.54 Mn |
| Mar 30, 2025 | -20.83 Mn |
| Dec 29, 2024 | 27.05 Mn |
| Sep 29, 2024 | 3.26 Mn |
| Jun 30, 2024 | 33.23 Mn |
| Mar 31, 2024 | -17.71 Mn |
| Dec 31, 2023 | 1.51 Mn |
| Oct 1, 2023 | -2.22 Mn |
| Jul 2, 2023 | 35.89 Mn |
| Apr 2, 2023 | 10.37 Mn |
| Jan 1, 2023 | 41.03 Mn |
| Apr 3, 2022 | 28.39 Mn |
| Oct 3, 2021 | 41.94 Mn |
| Jul 4, 2021 | 16.20 Mn |
| Apr 4, 2021 | 40.64 Mn |
| Jan 3, 2021 | -2.08 Mn |
API Access
Krispy Kreme Cash from Operations 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-from-operations&ticker=DNUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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-from-operations&ticker=DNUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();