Krispy Kreme (DNUT) Revenue (2020 - 2026)
Krispy Kreme (DNUT) recorded Revenue of $331 million in the quarter ended Jun 28, 2026, down 12.8% from $379.77 million a year earlier and down 9.8% from the prior quarter.
Krispy Kreme (DNUT) Revenue (2020 - 2026) Analysis & Trends
On a TTM basis, Krispy Kreme's Revenue came in at $1.47 billion as of Jun 28, 2026, down 4.8% year-over-year; for the year ended Dec 28, 2025, it came in at $1.52 billion, down 8.6% from the prior year.
- Annual Revenue has a four-year compound annual growth rate of 7.9% (years ended Dec 2021 to Dec 2025).
- Across earlier years, Revenue came in at $1.67 billion in the year ended Dec 29, 2024 (-1.2%), $1.69 billion in the year ended Dec 31, 2023 (+10.2%), $1.53 billion in the year ended Jan 1, 2023 and $1.12 billion in the year ended Jan 3, 2021.
- The figure for the quarter ended Jun 28, 2026 is the lowest quarterly Revenue in data going back to the quarter ended Jan 1, 2023.
- On a year-over-year basis, Revenue has declined for eight consecutive quarters, with an average decline of 8.1% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 7.3% in the quarter ended Jun 30, 2024, against a decline of 15.3% in the quarter ended Mar 30, 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $367.03 million (quarter ended Mar 29, 2026), $392.37 million (quarter ended Dec 28, 2025) and $375.3 million (quarter ended Sep 28, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 174.50 Bn | 169.32 Bn | 6.42 Bn | 7.10 Bn |
| 2 | Starbucks | 113.12 Bn | 100.74 Bn | - | 9.32 Bn |
| 3 | Yum Brands | 41.68 Bn | 38.56 Bn | 1.47 Bn | 2.17 Bn |
| 4 | Chipotle Mexican Grill | 37.78 Bn | 33.76 Bn | - | 3.35 Bn |
| 5 | Restaurant Brands International | 26.16 Bn | 21.71 Bn | 1.38 Bn | 2.52 Bn |
| 6 | Darden Restaurants | 24.73 Bn | 23.83 Bn | 1.68 Bn | 3.20 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 2.52 Bn |
| 8 | Yum China Holdings | 15.70 Bn | 9.35 Bn | 537.00 Mn | 3.14 Bn |
| 9 | Texas Roadhouse | 11.11 Bn | 10.45 Bn | - | 1.68 Bn |
| 10 | Krispy Kreme | 510.83 Mn | 341.69 Mn | - | 331.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 331.00 Mn |
| Mar 29, 2026 | 367.03 Mn |
| Dec 28, 2025 | 392.37 Mn |
| Sep 28, 2025 | 375.30 Mn |
| Jun 29, 2025 | 379.77 Mn |
| Mar 30, 2025 | 375.18 Mn |
| Dec 29, 2024 | 404.02 Mn |
| Sep 29, 2024 | 379.87 Mn |
| Jun 30, 2024 | 438.81 Mn |
| Mar 31, 2024 | 442.70 Mn |
| Dec 31, 2023 | 450.91 Mn |
| Oct 1, 2023 | 407.37 Mn |
| Jul 2, 2023 | 408.88 Mn |
| Apr 2, 2023 | 418.95 Mn |
| Jan 1, 2023 | 516.10 Mn |
| Oct 2, 2022 | 377.52 Mn |
| Jul 3, 2022 | 375.25 Mn |
| Apr 3, 2022 | 372.53 Mn |
| Oct 3, 2021 | 342.80 Mn |
| Jul 4, 2021 | 349.19 Mn |
Krispy Kreme Revenue 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=revenue&ticker=DNUT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=DNUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();