Krispy Kreme (DNUT) Receivables - Net (2021 - 2026)
Krispy Kreme (DNUT) reported Receivables - Net 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 - Net (2021 - 2026) Analysis & Trends
As of Dec 28, 2025, Krispy Kreme posted Receivables - Net of $61.61 million, down 9.0% from the prior year.
- Receivables - Net has a four-year compound annual growth rate of 7.6% (years ended Dec 2021 to Dec 2025).
- By year, Receivables - Net came in at $67.72 million in the year ended Dec 29, 2024 (+14.1%), $59.36 million in the year ended Dec 31, 2023 (+16.2%), $51.09 million in the year ended Jan 1, 2023 and $46 million in the year ended Jan 3, 2021.
- The figure for the quarter ended Jun 28, 2026 ranks as the highest quarterly Receivables - Net in data going back to the quarter ended Jan 1, 2023.
- Year over year, Receivables - Net gained in four of the last eight quarters, with growth averaging 6.2%.
- The high point for year-over-year Receivables - Net in five years was the quarter ended Jun 28, 2026 (growth of 35.2%); the low point was the quarter ended Mar 29, 2026 (a decline of 22.9%).
- Per Business Quant data, the three quarters before the quarter ended Jun 28, 2026 came in at $53.46 million (quarter ended Mar 29, 2026), $61.61 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) |
|---|---|---|---|---|
| 1 | Mcdonalds | 173.27 Bn | 168.09 Bn | 6.42 Bn |
| 2 | Starbucks | 112.43 Bn | 100.06 Bn | - |
| 3 | Yum Brands | 41.27 Bn | 38.16 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 36.08 Bn | 32.06 Bn | - |
| 5 | Restaurant Brands International | 25.96 Bn | 21.52 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.41 Bn | 23.50 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.37 Bn | 9.03 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.95 Bn | 10.29 Bn | - |
| 10 | Krispy Kreme | 497.89 Mn | 328.75 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 77.41 Mn |
| Mar 29, 2026 | 53.46 Mn |
| Dec 28, 2025 | 61.61 Mn |
| Sep 28, 2025 | 53.84 Mn |
| Jun 29, 2025 | 57.25 Mn |
| Mar 30, 2025 | 69.32 Mn |
| Dec 29, 2024 | 67.72 Mn |
| Sep 29, 2024 | 62.02 Mn |
| Jun 30, 2024 | 57.35 Mn |
| Mar 31, 2024 | 57.29 Mn |
| Dec 31, 2023 | 59.36 Mn |
| Oct 1, 2023 | 49.85 Mn |
| Jul 2, 2023 | 49.38 Mn |
| Apr 2, 2023 | 52.05 Mn |
| Jan 1, 2023 | 51.09 Mn |
| Oct 2, 2022 | 46.94 Mn |
| Jul 3, 2022 | 45.03 Mn |
| Apr 3, 2022 | 44.71 Mn |
| Jan 2, 2022 | 47.49 Mn |
| Oct 3, 2021 | 60.07 Mn |
API Access
Krispy Kreme Receivables - Net 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-net&ticker=DNUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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-net&ticker=DNUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();