Krispy Kreme (DNUT) Return on Assets [ROA] (2021 - 2026)
Krispy Kreme (DNUT) recorded Return on Assets [ROA] of -3.86% in the quarter ended Jun 28, 2026, up 12.19 percentage points from -16.05% a year earlier and up 16.74 percentage points from the prior quarter.
Krispy Kreme (DNUT) Return on Assets [ROA] (2021 - 2026) Analysis & Trends
For the year ended Dec 28, 2025, Krispy Kreme reported Return on Assets [ROA] of -18.49%, down 18.61 percentage points from the prior year.
- Annual Return on Assets [ROA] has a three-year change of -18.21 percentage points (years ended Dec 2022 to Dec 2025).
- Across earlier years, Return on Assets [ROA] came in at 0.12% in the year ended Dec 29, 2024 (+1.27 pp), -1.15% in the year ended Dec 31, 2023 (-0.87 pp) and -0.28% in the year ended Jan 1, 2023.
- The figure for the quarter ended Jun 28, 2026 is the highest quarterly Return on Assets [ROA] since the quarter ended Mar 30, 2025.
- On a year-over-year basis, Return on Assets [ROA] rose in four of the last eight quarters, with an average year-over-year change of -7.43 percentage points.
- Peak year-over-year performance for Return on Assets [ROA] in the last five years was a gain of 12.19 percentage points in the quarter ended Jun 28, 2026, against a drop of 20.65 percentage points in the quarter ended Sep 28, 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at -20.61% (quarter ended Mar 29, 2026), -20.17% (quarter ended Dec 28, 2025) and -19.76% (quarter ended Sep 28, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 176.15 Bn | 170.97 Bn | 6.42 Bn | 14.65% |
| 2 | Starbucks | 114.02 Bn | 101.64 Bn | - | 6.74% |
| 3 | Yum Brands | 41.75 Bn | 38.63 Bn | 1.47 Bn | 26.25% |
| 4 | Chipotle Mexican Grill | 35.86 Bn | 31.84 Bn | - | 16.07% |
| 5 | Restaurant Brands International | 26.09 Bn | 21.65 Bn | 1.38 Bn | 6.82% |
| 6 | Darden Restaurants | 24.43 Bn | 23.53 Bn | 1.68 Bn | 9.06% |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 6.82% |
| 8 | Yum China Holdings | 15.53 Bn | 9.19 Bn | 537.00 Mn | 9.70% |
| 9 | Texas Roadhouse | 11.01 Bn | 10.35 Bn | - | 11.65% |
| 10 | Krispy Kreme | 499.48 Mn | 330.34 Mn | - | -3.86% |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | -3.86% |
| Mar 29, 2026 | -20.61% |
| Dec 28, 2025 | -20.17% |
| Sep 28, 2025 | -19.76% |
| Jun 29, 2025 | -16.05% |
| Mar 30, 2025 | -0.74% |
| Dec 29, 2024 | 0.12% |
| Sep 29, 2024 | 0.89% |
| Jun 30, 2024 | -1.55% |
| Mar 31, 2024 | -1.39% |
| Dec 31, 2023 | -1.14% |
| Oct 1, 2023 | -0.89% |
| Jul 2, 2023 | 0.01% |
| Apr 2, 2023 | -0.07% |
| Jan 1, 2023 | 0.08% |
| Oct 2, 2022 | -0.37% |
| Jul 3, 2022 | -0.47% |
| Apr 3, 2022 | -0.40% |
| Oct 3, 2021 | -1.42% |
Krispy Kreme Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=DNUT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=DNUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();