Dingdong (Cayman) (DDL) Consolidated Net Income (2020 - 2026)
Dingdong (Cayman) (DDL) posted Consolidated Net Income of $39.9 million for the quarter ended Jun 30, 2026, up 169.3% from $14.82 million a year earlier and up 67.1% from the prior quarter.
Dingdong (Cayman) (DDL) Consolidated Net Income (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Consolidated Net Income at Dingdong (Cayman) was $81.24 million, up 73.5% year-over-year; for the year ended Dec 31, 2025, it came in at $35.25 million, up 184.0% from the prior year.
- In prior years, Dingdong (Cayman)'s Consolidated Net Income was $12.41 million in the year ended Dec 31, 2024, -$8.2 million in the year ended Dec 31, 2023, -$92 million in the year ended Dec 31, 2022 and -$1.03 billion in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Consolidated Net Income in data going back to the quarter ended Jun 30, 2020.
- On a year-over-year basis, Consolidated Net Income increased in two of the last five quarters, with growth averaging 13.8%.
- According to Business Quant data, Consolidated Net Income for the three prior quarters was $23.88 million (quarter ended Mar 31, 2026), $5.37 million (quarter ended Dec 31, 2025) and $12.09 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 6.53 Bn |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn | 2.19 Bn |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | 551.00 Mn |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | 642.00 Mn |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | 550.32 Mn |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | 273.72 Mn |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn | 514.50 Mn |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn | 275.00 Mn |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | 360.72 Mn |
| 10 | Dingdong (Cayman) | 1.40 Bn | 120.79 Mn | 1.64 Mn | 39.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.90 Mn |
| Mar 31, 2026 | 23.88 Mn |
| Dec 31, 2025 | 5.37 Mn |
| Sep 30, 2025 | 12.09 Mn |
| Jun 30, 2025 | 14.82 Mn |
| Mar 31, 2025 | 1.10 Mn |
| Dec 31, 2024 | 12.22 Mn |
| Sep 30, 2024 | 18.67 Mn |
| Jun 30, 2024 | 10.54 Mn |
| Mar 31, 2024 | 2.19 Mn |
| Dec 31, 2023 | -919,156.77 |
| Sep 30, 2023 | -1.42 Mn |
| Jun 30, 2023 | 8.81 Mn |
| Mar 31, 2023 | -4.71 Mn |
| Dec 31, 2022 | 7.23 Mn |
| Sep 30, 2022 | -34.88 Mn |
| Jun 30, 2022 | -3.17 Mn |
| Mar 31, 2022 | -79.24 Mn |
| Dec 31, 2021 | -187.59 Mn |
| Sep 30, 2021 | -309.06 Mn |
Dingdong (Cayman) Consolidated Net Income 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=consolidated-net-income&ticker=DDL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-income", "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=consolidated-net-income&ticker=DDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();