Dingdong (Cayman) (DDL) Prepaid Assets (2020 - 2026)
Dingdong (Cayman)'s Prepaid Assets was $2.75 million in the quarter ended Jun 30, 2026, down 89.8% from $27.06 million a year earlier but up 33.3% from the prior quarter.
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Analysis
Dingdong (Cayman) (DDL) Prepaid Assets (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Prepaid Assets at Dingdong (Cayman) came in at $26.7 million, up 14.2% from the prior year.
- Prepaid Assets shows a five-year compound annual growth rate of 13.5% (years ended Dec 2020 to Dec 2025).
- In earlier years, Prepaid Assets was $23.39 million in the year ended Dec 31, 2024 (-99.9%), $26.41 billion in the year ended Dec 31, 2023 (+6.9%), $24.7 billion in the year ended Dec 31, 2022 (-65.9%) and $72.47 billion in the year ended Dec 31, 2021.
- Quarterly Prepaid Assets has moved between $1.67 million (the quarter ended Dec 31, 2025) and $72.24 million (the quarter ended Dec 31, 2021) over five years.
- Compared with a year earlier, Prepaid Assets has declined for three straight quarters, with an average decline of 36.9% over the last eight quarters.
- The best year-over-year quarter for Prepaid Assets over five years was the quarter ended Dec 31, 2021 (growth of 389.1%); the worst was the quarter ended Dec 31, 2025 (a decline of 93.0%).
- Per Business Quant data, DDL's Prepaid Assets in the three quarters before the quarter ended Jun 30, 2026 was $2.06 million (quarter ended Mar 31, 2026), $1.67 million (quarter ended Dec 31, 2025) and $21.98 million (quarter ended Sep 30, 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.75 Mn |
| Mar 31, 2026 | 2.06 Mn |
| Dec 31, 2025 | 1.67 Mn |
| Sep 30, 2025 | 21.98 Mn |
| Jun 30, 2025 | 27.06 Mn |
| Mar 31, 2025 | 25.11 Mn |
| Dec 31, 2024 | 23.77 Mn |
| Sep 30, 2024 | 19.43 Mn |
| Jun 30, 2024 | 27.67 Mn |
| Mar 31, 2024 | 28.54 Mn |
| Dec 31, 2023 | 26.04 Mn |
| Sep 30, 2023 | 21.72 Mn |
| Jun 30, 2023 | 22.89 Mn |
| Mar 31, 2023 | 26.39 Mn |
| Dec 31, 2022 | 23.95 Mn |
| Sep 30, 2022 | 31.24 Mn |
| Jun 30, 2022 | 31.95 Mn |
| Mar 31, 2022 | 44.73 Mn |
| Dec 31, 2021 | 72.24 Mn |
| Sep 30, 2021 | 57.51 Mn |
API Access
Dingdong (Cayman) Prepaid Assets 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=prepaid-assets&ticker=DDL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=DDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();