Krispy Kreme (DNUT) EBITDA (2020 - 2026)
Krispy Kreme (DNUT) reported EBITDA of $16.03 million for the quarter ended Jun 28, 2026, compared with -$398.77 million a year earlier and down 43.7% from the prior quarter.
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Analysis
Krispy Kreme (DNUT) EBITDA (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, Krispy Kreme's EBITDA came in at $97.46 million; for the year ended Dec 28, 2025, it was -$332.2 million.
- By year, EBITDA came in at $124.86 million in the year ended Dec 29, 2024 (-10.2%), $139.04 million in the year ended Dec 31, 2023 (-0.1%), $139.24 million in the year ended Jan 1, 2023 and $84.68 million in the year ended Jan 3, 2021.
- Five-year quarterly EBITDA spans a low of -$398.77 million in the quarter ended Jun 29, 2025 and a high of $45.49 million in the quarter ended Mar 31, 2024.
- Year over year, EBITDA gained in three of the last six quarters, with growth averaging 8.6%.
- The high point for year-over-year EBITDA in five years was the quarter ended Mar 29, 2026 (growth of 109.0%); the low point was the quarter ended Mar 30, 2025 (a decline of 70.0%).
- Per Business Quant data, the three quarters before the quarter ended Jun 28, 2026 came in at $28.49 million (quarter ended Mar 29, 2026), $26.68 million (quarter ended Dec 28, 2025) and $26.27 million (quarter ended Sep 28, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 174.48 Bn | 169.30 Bn | 6.42 Bn | 3.90 Bn |
| 2 | Starbucks | 112.50 Bn | 100.13 Bn | - | 1.37 Bn |
| 3 | Yum Brands | 41.44 Bn | 38.32 Bn | 1.47 Bn | 715.00 Mn |
| 4 | Chipotle Mexican Grill | 35.96 Bn | 31.94 Bn | - | 623.92 Mn |
| 5 | Restaurant Brands International | 25.93 Bn | 21.49 Bn | 1.38 Bn | 799.00 Mn |
| 6 | Darden Restaurants | 24.39 Bn | 23.48 Bn | 1.68 Bn | 463.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 799.00 Mn |
| 8 | Yum China Holdings | 15.48 Bn | 9.13 Bn | 537.00 Mn | 468.00 Mn |
| 9 | Texas Roadhouse | 10.94 Bn | 10.28 Bn | - | 201.13 Mn |
| 10 | Krispy Kreme | 499.48 Mn | 330.34 Mn | - | 16.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 16.03 Mn |
| Mar 29, 2026 | 28.49 Mn |
| Dec 28, 2025 | 26.68 Mn |
| Sep 28, 2025 | 26.27 Mn |
| Jun 29, 2025 | -398.77 Mn |
| Mar 30, 2025 | 13.63 Mn |
| Dec 29, 2024 | 22.54 Mn |
| Sep 29, 2024 | 15.37 Mn |
| Jun 30, 2024 | 41.46 Mn |
| Mar 31, 2024 | 45.49 Mn |
| Dec 31, 2023 | 31.42 Mn |
| Oct 1, 2023 | 29.89 Mn |
| Jul 2, 2023 | 34.84 Mn |
| Apr 2, 2023 | 42.89 Mn |
| Jan 1, 2023 | 40.35 Mn |
| Oct 2, 2022 | 27.10 Mn |
| Jul 3, 2022 | 35.32 Mn |
| Apr 3, 2022 | 45.13 Mn |
| Oct 3, 2021 | 27.49 Mn |
| Jul 4, 2021 | 34.32 Mn |
API Access
Krispy Kreme EBITDA 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=ebitda&ticker=DNUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=DNUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();