Krispy Kreme (DNUT) Net Income towards Common Stockholders (2020 - 2026)
Krispy Kreme (DNUT) reported Net Income towards Common Stockholders of -$20.31 million for the quarter ended Jun 28, 2026, compared with -$435.26 million a year earlier.
Krispy Kreme (DNUT) Net Income towards Common Stockholders (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, Krispy Kreme's Net Income towards Common Stockholders came in at -$90.32 million; for the year ended Dec 28, 2025, it came in at -$515.77 million.
- By year, Net Income towards Common Stockholders came in at $3.1 million in the year ended Dec 29, 2024, -$37.93 million in the year ended Dec 31, 2023, -$15.62 million in the year ended Jan 1, 2023 and -$64.3 million in the year ended Jan 3, 2021.
- Five-year quarterly Net Income towards Common Stockholders spans a low of -$435.26 million in the quarter ended Jun 29, 2025 and a high of $39.56 million in the quarter ended Sep 29, 2024.
- Per Business Quant data, the three quarters before the quarter ended Jun 28, 2026 came in at -$22.78 million (quarter ended Mar 29, 2026), -$27.78 million (quarter ended Dec 28, 2025) and -$19.44 million (quarter ended Sep 28, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 175.49 Bn | 170.31 Bn | 6.42 Bn | 2.36 Bn |
| 2 | Starbucks | 114.70 Bn | 102.32 Bn | - | 1.05 Bn |
| 3 | Yum Brands | 41.08 Bn | 37.96 Bn | 1.47 Bn | 853.00 Mn |
| 4 | Chipotle Mexican Grill | 35.01 Bn | 30.99 Bn | - | 403.55 Mn |
| 5 | Restaurant Brands International | 26.11 Bn | 21.66 Bn | 1.38 Bn | 507.00 Mn |
| 6 | Darden Restaurants | 24.03 Bn | 23.12 Bn | 1.68 Bn | 233.40 Mn |
| 7 | Restaurant Brands International Limited Partnership | 16.93 Bn | 12.49 Bn | 1.38 Bn | 665.00 Mn |
| 8 | Yum China Holdings | 15.49 Bn | 9.15 Bn | 537.00 Mn | 244.00 Mn |
| 9 | Texas Roadhouse | 10.84 Bn | 10.18 Bn | - | 121.93 Mn |
| 10 | Krispy Kreme | 487.91 Mn | 318.77 Mn | - | -20.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | -20.31 Mn |
| Mar 29, 2026 | -22.78 Mn |
| Dec 28, 2025 | -27.78 Mn |
| Sep 28, 2025 | -19.44 Mn |
| Jun 29, 2025 | -435.26 Mn |
| Mar 30, 2025 | -33.28 Mn |
| Dec 29, 2024 | -22.44 Mn |
| Sep 29, 2024 | 39.56 Mn |
| Jun 30, 2024 | -5.49 Mn |
| Mar 31, 2024 | -8.53 Mn |
| Dec 31, 2023 | 2.61 Mn |
| Oct 1, 2023 | -40.46 Mn |
| Jul 2, 2023 | 223,000.00 |
| Apr 2, 2023 | -301,000.00 |
| Jan 1, 2023 | 10.24 Mn |
| Oct 2, 2022 | -13.06 Mn |
| Jul 3, 2022 | -3.85 Mn |
| Apr 3, 2022 | 4.00 Mn |
| Oct 3, 2021 | -5.66 Mn |
| Jul 4, 2021 | -17.14 Mn |
Krispy Kreme Net Income towards Common Stockholders 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=net-income-towards-common-stockholders&ticker=DNUT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income-towards-common-stockholders", "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=net-income-towards-common-stockholders&ticker=DNUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();