Krispy Kreme (DNUT) Operating Leases (2021 - 2026)
Krispy Kreme's Operating Leases came in at $351.01 million for the quarter ended Jun 28, 2026, down 16.3% from $419.39 million a year earlier but up 2.9% from the prior quarter.
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Analysis
Krispy Kreme (DNUT) Operating Leases (2021 - 2026) Analysis & Trends
As of Dec 28, 2025, Krispy Kreme's Operating Leases was $395.9 million, down 2.3% from the prior year.
- Operating Leases carries a four-year compound annual growth rate of 1.3% (years ended Dec 2021 to Dec 2025).
- Going back by year, Operating Leases was $405.37 million in the year ended Dec 29, 2024 (-10.8%), $454.58 million in the year ended Dec 31, 2023 (+10.1%), $412.76 million in the year ended Jan 1, 2023 and $376.1 million in the year ended Jan 3, 2021.
- The five-year range for quarterly Operating Leases is $341.28 million (the quarter ended Mar 29, 2026) to $454.58 million (the quarter ended Dec 31, 2023).
- Year-over-year, Operating Leases has declined for three consecutive quarters, with an average decline of 8.8% over the last eight quarters.
- The fastest year-over-year change in Operating Leases over five years came in the quarter ended Dec 31, 2023 (growth of 10.1%), and the weakest in the quarter ended Mar 29, 2026 (a decline of 16.8%).
- Business Quant data shows DNUT's Operating Leases at $341.28 million (quarter ended Mar 29, 2026), $395.9 million (quarter ended Dec 28, 2025) and $410.53 million (quarter ended Sep 28, 2025) in the three quarters before the quarter ended Jun 28, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 174.22 Bn | 169.05 Bn | 6.42 Bn |
| 2 | Starbucks | 112.11 Bn | 99.73 Bn | - |
| 3 | Yum Brands | 41.52 Bn | 38.40 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 35.76 Bn | 31.74 Bn | - |
| 5 | Restaurant Brands International | 25.81 Bn | 21.36 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.39 Bn | 23.48 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.42 Bn | 9.08 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.94 Bn | 10.28 Bn | - |
| 10 | Krispy Kreme | 497.51 Mn | 328.37 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 351.01 Mn |
| Mar 29, 2026 | 341.28 Mn |
| Dec 28, 2025 | 395.90 Mn |
| Sep 28, 2025 | 410.53 Mn |
| Jun 29, 2025 | 419.39 Mn |
| Mar 30, 2025 | 410.22 Mn |
| Dec 29, 2024 | 405.37 Mn |
| Sep 29, 2024 | 406.73 Mn |
| Jun 30, 2024 | 453.34 Mn |
| Mar 31, 2024 | 454.27 Mn |
| Dec 31, 2023 | 454.58 Mn |
| Oct 1, 2023 | 441.73 Mn |
| Jul 2, 2023 | 439.10 Mn |
| Apr 2, 2023 | 432.01 Mn |
| Jan 1, 2023 | 412.76 Mn |
| Oct 2, 2022 | 400.59 Mn |
| Jul 3, 2022 | 407.14 Mn |
| Apr 3, 2022 | 413.77 Mn |
| Jan 2, 2022 | 415.21 Mn |
| Oct 3, 2021 | 397.64 Mn |
API Access
Krispy Kreme Operating Leases 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=operating-leases&ticker=DNUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=DNUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();