Dingdong (Cayman) (DDL) Notes Payables (2020 - 2026)
Dingdong (Cayman) (DDL) reported Notes Payables of $242.71 million for the quarter ended Jun 30, 2026, up 63.7% from $148.24 million a year earlier and up 148.3% from the prior quarter.
Dingdong (Cayman) (DDL) Notes Payables (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Dingdong (Cayman) posted Notes Payables of $124.63 million, down 43.4% from the prior year.
- Notes Payables has declined for three consecutive years, with a five-year compound annual growth rate of -7.0% (years ended Dec 2020 to Dec 2025).
- By year, Notes Payables came in at $220.06 million in the year ended Dec 31, 2024 (-100.0%), $464.83 billion in the year ended Dec 31, 2023 (-24.4%), $614.45 billion in the year ended Dec 31, 2022 (+25.4%) and $489.8 billion in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Notes Payables since the quarter ended Jun 30, 2024.
- Year over year, Notes Payables gained in 1 of the last eight quarters, with an average decline of 33.1%.
- The high point for year-over-year Notes Payables in five years was the quarter ended Dec 31, 2021 (growth of 162.1%); the low point was the quarter ended Sep 30, 2024 (a decline of 53.4%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $97.76 million (quarter ended Mar 31, 2026), $122.88 million (quarter ended Dec 31, 2025) and $128.69 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn |
| 10 | Dingdong (Cayman) | 1.39 Bn | 114.26 Mn | 1.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 242.71 Mn |
| Mar 31, 2026 | 97.76 Mn |
| Dec 31, 2025 | 122.88 Mn |
| Sep 30, 2025 | 128.69 Mn |
| Jun 30, 2025 | 148.24 Mn |
| Mar 31, 2025 | 193.80 Mn |
| Dec 31, 2024 | 223.62 Mn |
| Sep 30, 2024 | 236.05 Mn |
| Jun 30, 2024 | 252.20 Mn |
| Mar 31, 2024 | 335.47 Mn |
| Dec 31, 2023 | 458.36 Mn |
| Sep 30, 2023 | 506.31 Mn |
| Jun 30, 2023 | 507.08 Mn |
| Mar 31, 2023 | 553.84 Mn |
| Dec 31, 2022 | 595.88 Mn |
| Sep 30, 2022 | 598.63 Mn |
| Jun 30, 2022 | 608.44 Mn |
| Mar 31, 2022 | 504.43 Mn |
| Dec 31, 2021 | 488.16 Mn |
| Sep 30, 2021 | 421.90 Mn |
Dingdong (Cayman) Notes 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=notes-payables&ticker=DDL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "notes-payables", "ticker": "DDL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=notes-payables&ticker=DDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();