Dingdong (Cayman) (DDL) Other Accumulated Expenses (2020 - 2026)
Dingdong (Cayman)'s Other Accumulated Expenses was $706,000 in the quarter ended Jun 30, 2026, down 99.2% from $93.25 million a year earlier.
Dingdong (Cayman) (DDL) Other Accumulated Expenses (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Other Accumulated Expenses at Dingdong (Cayman) came in at $94.99 million, up 8.3% from the prior year.
- Other Accumulated Expenses shows a five-year compound annual growth rate of 2.0% (years ended Dec 2020 to Dec 2025).
- In earlier years, Other Accumulated Expenses was $87.71 million in the year ended Dec 31, 2024 (-99.9%), $92.05 billion in the year ended Dec 31, 2023 (-8.5%), $100.55 billion in the year ended Dec 31, 2022 (-33.9%) and $152.14 billion in the year ended Dec 31, 2021.
- Quarterly Other Accumulated Expenses has moved between -$76.08 million (the quarter ended Dec 31, 2022) and $151.64 million (the quarter ended Dec 31, 2021) over five years.
- Compared with a year earlier, Other Accumulated Expenses was higher in four of the last eight quarters, with an average decline of 22.0%.
- The best year-over-year quarter for Other Accumulated Expenses over five years was the quarter ended Dec 31, 2021 (growth of 69.0%); the worst was the quarter ended Mar 31, 2026 (a decline of 100.0%).
- Per Business Quant data, DDL's Other Accumulated Expenses in the three quarters before the quarter ended Jun 30, 2026 was $18,000 (quarter ended Mar 31, 2026), $94.22 million (quarter ended Dec 31, 2025) and $91.57 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn |
| 10 | Dingdong (Cayman) | 1.40 Bn | 120.79 Mn | 1.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 706,000.00 |
| Mar 31, 2026 | 18,000.00 |
| Dec 31, 2025 | 94.22 Mn |
| Sep 30, 2025 | 91.57 Mn |
| Jun 30, 2025 | 93.25 Mn |
| Mar 31, 2025 | 85.74 Mn |
| Dec 31, 2024 | 89.13 Mn |
| Sep 30, 2024 | 82.42 Mn |
| Jun 30, 2024 | 82.12 Mn |
| Mar 31, 2024 | 83.07 Mn |
| Dec 31, 2023 | 90.77 Mn |
| Sep 30, 2023 | 89.99 Mn |
| Jun 30, 2023 | 92.69 Mn |
| Mar 31, 2023 | 102.55 Mn |
| Dec 31, 2022 | -76.08 Mn |
| Sep 30, 2022 | -17.88 Mn |
| Jun 30, 2022 | -21.90 Mn |
| Mar 31, 2022 | -27.78 Mn |
| Dec 31, 2021 | 151.64 Mn |
| Sep 30, 2021 | -66.47 Mn |
Dingdong (Cayman) Other 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=other-accumulated-expenses&ticker=DDL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=DDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();