Dingdong (Cayman) (DDL) Other Operating Expenses (2020 - 2026)
Dingdong (Cayman)'s Other Operating Expenses came in at -$31,000 for the quarter ended Jun 30, 2026, compared with $11.99 million a year earlier.
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Analysis
Dingdong (Cayman) (DDL) Other Operating Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Dingdong (Cayman) reported Other Operating Expenses of $5.11 million, down 69.4% year-over-year; for the year ended Dec 31, 2025, it was $20.74 million, up 63.4% from the prior year.
- Other Operating Expenses carries a five-year compound annual growth rate of 121.3% (years ended Dec 2020 to Dec 2025).
- Going back by year, Other Operating Expenses was $12.69 million in the year ended Dec 31, 2024, $326,000 in the year ended Dec 31, 2023, -$6.89 million in the year ended Dec 31, 2022 and -$2.52 billion in the year ended Dec 31, 2021.
- The five-year range for quarterly Other Operating Expenses is -$1.21 billion (the quarter ended Sep 30, 2021) to $11.99 million (the quarter ended Jun 30, 2025).
- Year-over-year, Other Operating Expenses increased in four of the last six quarters, with growth averaging 82.5%.
- Business Quant data shows DDL's Other Operating Expenses at -$588,000 (quarter ended Mar 31, 2026), $3.13 million (quarter ended Dec 31, 2025) and $2.61 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
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 | -31,000.00 |
| Mar 31, 2026 | -588,000.00 |
| Dec 31, 2025 | 3.13 Mn |
| Sep 30, 2025 | 2.61 Mn |
| Jun 30, 2025 | 11.99 Mn |
| Mar 31, 2025 | 2.58 Mn |
| Dec 31, 2024 | 621,000.00 |
| Sep 30, 2024 | 1.54 Mn |
| Jun 30, 2024 | 9.28 Mn |
| Mar 31, 2024 | 1.37 Mn |
| Dec 31, 2023 | 2.04 Mn |
| Sep 30, 2023 | 2.11 Mn |
| Jun 30, 2023 | -3.21 Mn |
| Mar 31, 2023 | -611,000.00 |
| Dec 31, 2022 | 930,000.00 |
| Sep 30, 2022 | -4.17 Mn |
| Jun 30, 2022 | -1.88 Mn |
| Mar 31, 2022 | -2.06 Mn |
| Dec 31, 2021 | -5.26 Mn |
| Sep 30, 2021 | -1.21 Bn |
API Access
Dingdong (Cayman) Other Operating 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-operating-expenses&ticker=DDL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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-operating-expenses&ticker=DDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();