Krispy Kreme (DNUT) Gains from Sales and Divestitures (2020 - 2026)
Krispy Kreme's Gains from Sales and Divestitures was -$458,000 in the quarter ended Mar 29, 2026, compared with -$189,000 a year earlier.
Krispy Kreme (DNUT) Gains from Sales and Divestitures (2020 - 2026) Analysis & Trends
For the year ended Dec 28, 2025, Gains from Sales and Divestitures at Krispy Kreme came in at $6.75 million, up 321.8% from the prior year.
- In earlier years, Gains from Sales and Divestitures was $1.6 million in the year ended Dec 29, 2024 (-83.4%), $9.65 million in the year ended Dec 31, 2023 (+47.3%), $6.55 million in the year ended Jan 1, 2023 and -$2.77 million in the year ended Jan 3, 2021.
- The figure for the quarter ended Mar 29, 2026 marks the lowest quarterly Gains from Sales and Divestitures in data going back to the quarter ended Jan 1, 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 176.17 Bn | 170.99 Bn | 6.42 Bn |
| 2 | Starbucks | 115.44 Bn | 103.07 Bn | - |
| 3 | Yum Brands | 41.33 Bn | 38.21 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 35.33 Bn | 31.31 Bn | - |
| 5 | Restaurant Brands International | 26.07 Bn | 21.62 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.03 Bn | 23.12 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 16.93 Bn | 12.49 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.93 Bn | 10.27 Bn | - |
| 10 | Krispy Kreme | 490.12 Mn | 320.98 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 29, 2026 | 8.89 Mn |
| Sep 28, 2025 | 1.06 Mn |
| Jun 29, 2025 | -11.50 Mn |
| Mar 30, 2025 | -189,000.00 |
| Dec 29, 2024 | 2.07 Mn |
| Mar 31, 2024 | 49,000.00 |
| Jul 2, 2023 | -15,000.00 |
| Apr 2, 2023 | 9.60 Mn |
| Jan 1, 2023 | 6.71 Mn |
| Oct 2, 2022 | 1.94 Mn |
| Apr 3, 2022 | 2.37 Mn |
| Apr 4, 2021 | -116,000.00 |
| Jan 3, 2021 | -2.00 Mn |
| Sep 27, 2020 | -1.94 Mn |
Krispy Kreme Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=DNUT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=DNUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();