Krispy Kreme (DNUT) Change in Inventory (2025 - 2026)
Krispy Kreme's Change in Inventory came in at $19.87 million for the year ended Dec 28, 2025, up 888.1% from $2.01 million a year earlier.
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Analysis
Krispy Kreme (DNUT) Change in Inventory (2025 - 2026) Analysis & Trends
Going back to the year ended Dec 29, 2019, Krispy Kreme's Change in Inventory data covers 6 years.
- Change in Inventory carries a four-year compound annual growth rate of 6.7% (years ended Dec 2021 to Dec 2025).
- The figure for the year ended Dec 28, 2025 represents the highest annual Change in Inventory in data going back to the year ended Dec 29, 2019.
- Per Business Quant, earlier years put Change in Inventory at $2.01 million in the year ended Dec 29, 2024, -$780,000 in the year ended Dec 31, 2023, $12.52 million in the year ended Jan 1, 2023 and $15.35 million in the year ended Jan 3, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.08 Bn | 192.90 Bn | 6.42 Bn | - |
| 2 | Starbucks | 123.34 Bn | 110.96 Bn | - | 54.40 Mn |
| 3 | Chipotle Mexican Grill | 45.28 Bn | 41.78 Bn | - | 2.33 Mn |
| 4 | Yum Brands | 43.42 Bn | 40.31 Bn | 1.47 Bn | - |
| 5 | Restaurant Brands International | 26.75 Bn | 22.54 Bn | 1.40 Bn | - |
| 6 | Darden Restaurants | 25.71 Bn | 24.80 Bn | 1.68 Bn | -5.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | - |
| 8 | Yum China Holdings | 17.17 Bn | 10.82 Bn | 537.00 Mn | 38.00 Mn |
| 9 | Texas Roadhouse | 12.34 Bn | 11.68 Bn | - | 3.64 Mn |
| 10 | Krispy Kreme | 678.30 Mn | 509.57 Mn | - | 3.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 3.10 Mn |
| Dec 28, 2025 | -204,000.00 |
| Sep 28, 2025 | 13.63 Mn |
API Access
Krispy Kreme Change in 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=change-in-inventory&ticker=DNUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-inventory&ticker=DNUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();