Krispy Kreme (DNUT) Payables (2021 - 2026)
Krispy Kreme's Payables came in at $148.5 million for the quarter ended Jun 28, 2026, up 52.4% from $97.44 million a year earlier and up 13.6% from the prior quarter.
Krispy Kreme (DNUT) Payables (2021 - 2026) Analysis & Trends
As of Dec 28, 2025, Krispy Kreme's Payables was $134.38 million, up 9.0% from the prior year.
- Payables carries a four-year compound annual growth rate of -2.5% (years ended Dec 2021 to Dec 2025).
- Going back by year, Payables was $123.32 million in the year ended Dec 29, 2024 (-21.2%), $156.49 million in the year ended Dec 31, 2023 (-30.5%), $225.28 million in the year ended Jan 1, 2023 and $148.65 million in the year ended Jan 3, 2021.
- The figure for the quarter ended Jun 28, 2026 represents the highest quarterly Payables since the quarter ended Dec 31, 2023.
- Year-over-year, Payables has increased for three consecutive quarters, with an average decline of 2.7% over the last eight quarters.
- The fastest year-over-year change in Payables over five years came in the quarter ended Jun 28, 2026 (growth of 52.4%), and the weakest in the quarter ended Jun 30, 2024 (a decline of 37.5%).
- Business Quant data shows DNUT's Payables at $130.71 million (quarter ended Mar 29, 2026), $134.38 million (quarter ended Dec 28, 2025) and $116.54 million (quarter ended Sep 28, 2025) in the three quarters before the quarter ended Jun 28, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 174.16 Bn | 168.98 Bn | 6.42 Bn | 1.11 Bn |
| 2 | Starbucks | 112.39 Bn | 100.02 Bn | - | 1.78 Bn |
| 3 | Yum Brands | 41.31 Bn | 38.20 Bn | 1.47 Bn | 4.00 Bn |
| 4 | Chipotle Mexican Grill | 36.17 Bn | 32.15 Bn | - | 255.13 Mn |
| 5 | Restaurant Brands International | 26.03 Bn | 21.59 Bn | 1.38 Bn | 884.00 Mn |
| 6 | Darden Restaurants | 24.43 Bn | 23.53 Bn | 1.68 Bn | 1.45 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 884.00 Mn |
| 8 | Yum China Holdings | 15.44 Bn | 9.10 Bn | 537.00 Mn | 2.44 Bn |
| 9 | Texas Roadhouse | 10.99 Bn | 10.33 Bn | - | 179.04 Mn |
| 10 | Krispy Kreme | 499.61 Mn | 330.47 Mn | - | 148.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 148.50 Mn |
| Mar 29, 2026 | 130.71 Mn |
| Dec 28, 2025 | 134.38 Mn |
| Sep 28, 2025 | 116.54 Mn |
| Jun 29, 2025 | 97.44 Mn |
| Mar 30, 2025 | 117.18 Mn |
| Dec 29, 2024 | 123.32 Mn |
| Sep 29, 2024 | 123.13 Mn |
| Jun 30, 2024 | 135.20 Mn |
| Mar 31, 2024 | 128.56 Mn |
| Dec 31, 2023 | 156.49 Mn |
| Oct 1, 2023 | 178.73 Mn |
| Jul 2, 2023 | 216.41 Mn |
| Apr 2, 2023 | 205.15 Mn |
| Jan 1, 2023 | 225.28 Mn |
| Oct 2, 2022 | 188.06 Mn |
| Jul 3, 2022 | 187.52 Mn |
| Apr 3, 2022 | 171.01 Mn |
| Jan 2, 2022 | 182.10 Mn |
| Oct 3, 2021 | 170.78 Mn |
Krispy Kreme Payables 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=payables&ticker=DNUT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=DNUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();