Krispy Kreme (DNUT) Inventory (2021 - 2026)
Krispy Kreme (DNUT) posted Inventory of $28.67 million for the quarter ended Jun 28, 2026, down 14.9% from $33.7 million a year earlier but up 5.3% from the prior quarter.
Krispy Kreme (DNUT) Inventory (2021 - 2026) Analysis & Trends
As of Dec 28, 2025, Krispy Kreme's Inventory came in at $26.88 million, down 4.5% from the prior year.
- Annual Inventory has declined for three consecutive years, with a four-year compound annual growth rate of -8.6% (years ended Dec 2021 to Dec 2025).
- In prior years, Krispy Kreme's Inventory was $28.13 million in the year ended Dec 29, 2024 (-19.0%), $34.72 million in the year ended Dec 31, 2023 (-24.9%), $46.24 million in the year ended Jan 1, 2023 and $38.52 million in the year ended Jan 3, 2021.
- Quarterly Inventory has run from a low of $26.88 million in the quarter ended Dec 28, 2025 to a high of $46.24 million in the quarter ended Jan 1, 2023 over five years.
- On a year-over-year basis, Inventory has declined in each of the last eight quarters, with an average decline of 13.4% over the last eight quarters.
- The strongest year-over-year quarter for Inventory in the past five years was the quarter ended Jun 30, 2024, with growth of 16.1%; the weakest was the quarter ended Dec 31, 2023, with a decline of 24.9%.
- According to Business Quant data, Inventory for the three prior quarters was $27.22 million (quarter ended Mar 29, 2026), $26.88 million (quarter ended Dec 28, 2025) and $28.08 million (quarter ended Sep 28, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 174.48 Bn | 169.30 Bn | 6.42 Bn | 58.00 Mn |
| 2 | Starbucks | 112.50 Bn | 100.13 Bn | - | 2.21 Bn |
| 3 | Yum Brands | 41.44 Bn | 38.32 Bn | 1.47 Bn | - |
| 4 | Chipotle Mexican Grill | 35.96 Bn | 31.94 Bn | - | 46.62 Mn |
| 5 | Restaurant Brands International | 25.93 Bn | 21.49 Bn | 1.38 Bn | 224.00 Mn |
| 6 | Darden Restaurants | 24.39 Bn | 23.48 Bn | 1.68 Bn | 321.00 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 224.00 Mn |
| 8 | Yum China Holdings | 15.48 Bn | 9.13 Bn | 537.00 Mn | 459.00 Mn |
| 9 | Texas Roadhouse | 10.94 Bn | 10.28 Bn | - | 49.69 Mn |
| 10 | Krispy Kreme | 499.48 Mn | 330.34 Mn | - | 28.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 28.67 Mn |
| Mar 29, 2026 | 27.22 Mn |
| Dec 28, 2025 | 26.88 Mn |
| Sep 28, 2025 | 28.08 Mn |
| Jun 29, 2025 | 33.70 Mn |
| Mar 30, 2025 | 31.52 Mn |
| Dec 29, 2024 | 28.13 Mn |
| Sep 29, 2024 | 31.49 Mn |
| Jun 30, 2024 | 39.46 Mn |
| Mar 31, 2024 | 39.26 Mn |
| Dec 31, 2023 | 34.72 Mn |
| Oct 1, 2023 | 35.06 Mn |
| Jul 2, 2023 | 33.98 Mn |
| Apr 2, 2023 | 36.39 Mn |
| Jan 1, 2023 | 46.24 Mn |
| Oct 2, 2022 | 49.41 Mn |
| Jul 3, 2022 | 47.42 Mn |
| Apr 3, 2022 | 41.05 Mn |
| Jan 2, 2022 | 34.85 Mn |
| Oct 3, 2021 | 36.14 Mn |
Krispy Kreme Inventory 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=inventory&ticker=DNUT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=DNUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();