Krispy Kreme (DNUT) Receivables (2021 - 2026)
Krispy Kreme (DNUT) posted Receivables of $77.41 million for the quarter ended Jun 28, 2026, up 35.2% from $57.25 million a year earlier and up 44.8% from the prior quarter.
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Analysis
Krispy Kreme (DNUT) Receivables (2021 - 2026) Analysis & Trends
As of Dec 28, 2025, Krispy Kreme's Receivables came in at $67.22 million, down 11.7% from the prior year.
- Annual Receivables shows a four-year compound annual growth rate of 5.9% (years ended Dec 2021 to Dec 2025).
- In prior years, Krispy Kreme's Receivables was $76.13 million in the year ended Dec 29, 2024 (+6.0%), $71.84 million in the year ended Dec 31, 2023 (+17.1%), $61.35 million in the year ended Jan 1, 2023 and $53.4 million in the year ended Jan 3, 2021.
- The figure for the quarter ended Jun 28, 2026 stands as the highest quarterly Receivables in data going back to the quarter ended Jan 1, 2023.
- On a year-over-year basis, Receivables increased in four of the last eight quarters, with growth averaging 4.8%.
- The strongest year-over-year quarter for Receivables in the past five years was the quarter ended Jun 28, 2026, with growth of 35.2%; the weakest was the quarter ended Mar 29, 2026, with a decline of 22.9%.
- According to Business Quant data, Receivables for the three prior quarters was $53.46 million (quarter ended Mar 29, 2026), $67.22 million (quarter ended Dec 28, 2025) and $53.84 million (quarter ended Sep 28, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 174.22 Bn | 169.05 Bn | 6.42 Bn | 2.49 Bn |
| 2 | Starbucks | 112.11 Bn | 99.73 Bn | - | 1.30 Bn |
| 3 | Yum Brands | 41.52 Bn | 38.40 Bn | 1.47 Bn | 623.00 Mn |
| 4 | Chipotle Mexican Grill | 35.76 Bn | 31.74 Bn | - | 100.31 Mn |
| 5 | Restaurant Brands International | 25.81 Bn | 21.36 Bn | 1.38 Bn | 800.00 Mn |
| 6 | Darden Restaurants | 24.39 Bn | 23.48 Bn | 1.68 Bn | 118.00 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 800.00 Mn |
| 8 | Yum China Holdings | 15.42 Bn | 9.08 Bn | 537.00 Mn | 115.00 Mn |
| 9 | Texas Roadhouse | 10.94 Bn | 10.28 Bn | - | 74.14 Mn |
| 10 | Krispy Kreme | 497.51 Mn | 328.37 Mn | - | 77.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 77.41 Mn |
| Mar 29, 2026 | 53.46 Mn |
| Dec 28, 2025 | 67.22 Mn |
| Sep 28, 2025 | 53.84 Mn |
| Jun 29, 2025 | 57.25 Mn |
| Mar 30, 2025 | 69.32 Mn |
| Dec 29, 2024 | 76.13 Mn |
| Sep 29, 2024 | 62.02 Mn |
| Jun 30, 2024 | 57.35 Mn |
| Mar 31, 2024 | 57.29 Mn |
| Dec 31, 2023 | 71.84 Mn |
| Oct 1, 2023 | 49.85 Mn |
| Jul 2, 2023 | 49.38 Mn |
| Apr 2, 2023 | 52.05 Mn |
| Jan 1, 2023 | 61.35 Mn |
| Oct 2, 2022 | 46.94 Mn |
| Jul 3, 2022 | 45.03 Mn |
| Apr 3, 2022 | 45.21 Mn |
| Jan 2, 2022 | 53.43 Mn |
| Oct 3, 2021 | 60.47 Mn |
API Access
Krispy Kreme Receivables 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=receivables&ticker=DNUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=DNUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();