Dingdong (Cayman) (DDL) Accumulated Expenses (2020 - 2026)
Dingdong (Cayman) (DDL) posted Accumulated Expenses of $1.93 million for the quarter ended Jun 30, 2026, down 98.2% from $105.47 million a year earlier but up 8.7% from the prior quarter.
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Analysis
Dingdong (Cayman) (DDL) Accumulated Expenses (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Dingdong (Cayman)'s Accumulated Expenses came in at $108.77 million, up 3.5% from the prior year.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of -2.6% (years ended Dec 2020 to Dec 2025).
- In prior years, Dingdong (Cayman)'s Accumulated Expenses was $105.09 million in the year ended Dec 31, 2024 (-99.9%), $92.45 billion in the year ended Dec 31, 2023 (-21.4%), $117.58 billion in the year ended Dec 31, 2022 (+14.7%) and $102.51 billion in the year ended Dec 31, 2021.
- Quarterly Accumulated Expenses has run from a low of $657,589 in the quarter ended Dec 31, 2025 to a high of $138.98 million in the quarter ended Sep 30, 2021 over five years.
- On a year-over-year basis, Accumulated Expenses has declined in each of the last four quarters, with an average decline of 29.6% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was the quarter ended Sep 30, 2024, with growth of 26.3%; the weakest was the quarter ended Dec 31, 2025, with a decline of 99.4%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $1.78 million (quarter ended Mar 31, 2026), $657,589 (quarter ended Dec 31, 2025) and $106.76 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 1,015.81 Bn | 972.24 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 461.37 Bn | 384.65 Bn | 12.19 Bn |
| 3 | Kroger | 41.49 Bn | 27.64 Bn | 7.86 Bn |
| 4 | Sysco | 39.12 Bn | 33.36 Bn | 4.13 Bn |
| 5 | Dollar General | 30.10 Bn | 24.78 Bn | 3.68 Bn |
| 6 | Dollar Tree | 26.50 Bn | 23.13 Bn | 2.10 Bn |
| 7 | Caseys General Stores | 24.82 Bn | 22.81 Bn | 1.24 Bn |
| 8 | US Foods Holding | 23.11 Bn | 22.91 Bn | 1.92 Bn |
| 9 | Tractor Supply | 18.49 Bn | 18.49 Bn | - |
| 10 | Dingdong (Cayman) | 413.95 Mn | -1.02 Bn | 1.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.93 Mn |
| Mar 31, 2026 | 1.78 Mn |
| Dec 31, 2025 | 108.72 Mn |
| Sep 30, 2025 | 106.76 Mn |
| Jun 30, 2025 | 105.47 Mn |
| Mar 31, 2025 | 105.43 Mn |
| Dec 31, 2024 | 105.11 Mn |
| Sep 30, 2024 | 110.56 Mn |
| Jun 30, 2024 | 95.40 Mn |
| Mar 31, 2024 | 97.24 Mn |
| Dec 31, 2023 | 92.36 Mn |
| Sep 30, 2023 | 87.54 Mn |
| Jun 30, 2023 | 88.05 Mn |
| Mar 31, 2023 | 95.13 Mn |
| Dec 31, 2022 | 116.47 Mn |
| Sep 30, 2022 | 98.15 Mn |
| Jun 30, 2022 | 104.47 Mn |
| Mar 31, 2022 | 107.50 Mn |
| Dec 31, 2021 | 102.52 Mn |
| Sep 30, 2021 | 138.98 Mn |
API Access
Dingdong (Cayman) Accumulated Expenses 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=accumulated-expenses&ticker=DDL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=DDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();