Krispy Kreme (DNUT) Other Working Capital Changes (2025 - 2026)
Krispy Kreme (DNUT) posted Other Working Capital Changes of $4.41 million for the year ended Dec 28, 2025, up 404.6% from $873,000 a year earlier.
Powered by 
Analysis
Krispy Kreme (DNUT) Other Working Capital Changes (2025 - 2026) Analysis & Trends
Since the year ended Dec 29, 2019, Krispy Kreme has reported Other Working Capital Changes for 6 years.
- The figure for the year ended Dec 28, 2025 stands as the highest annual Other Working Capital Changes since the year ended Dec 29, 2019.
- Business Quant data shows DNUT's Other Working Capital Changes at $873,000 in the year ended Dec 29, 2024 (-63.5%), $2.4 million in the year ended Dec 31, 2023 (+41.6%), $1.69 million in the year ended Jan 1, 2023 and -$434,000 in the year ended Jan 3, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 198.08 Bn | 192.90 Bn | 6.42 Bn |
| 2 | Starbucks | 123.34 Bn | 110.96 Bn | - |
| 3 | Chipotle Mexican Grill | 45.28 Bn | 41.78 Bn | - |
| 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 |
| 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 |
| 9 | Texas Roadhouse | 12.34 Bn | 11.68 Bn | - |
| 10 | Krispy Kreme | 678.30 Mn | 509.57 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 1.04 Mn |
| Dec 28, 2025 | -11.66 Mn |
| Sep 28, 2025 | 1.64 Mn |
API Access
Krispy Kreme Other Working Capital Changes 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=other-working-capital-changes&ticker=DNUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-working-capital-changes", "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=other-working-capital-changes&ticker=DNUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();