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 | 998.27 Bn | 954.70 Bn | 49.13 Bn | 6.53 Bn |
| 2 | Costco Wholesale | 467.84 Bn | 391.12 Bn | 12.19 Bn | 3.00 Bn |
| 3 | Kroger | 41.10 Bn | 27.25 Bn | 7.86 Bn | 642.00 Mn |
| 4 | Sysco | 37.00 Bn | 28.92 Bn | 4.05 Bn | 526.00 Mn |
| 5 | Dollar General | 29.48 Bn | 24.16 Bn | 3.68 Bn | 550.32 Mn |
| 6 | Caseys General Stores | 25.44 Bn | 23.43 Bn | 1.24 Bn | 273.72 Mn |
| 7 | Dollar Tree | 24.95 Bn | 21.57 Bn | 2.10 Bn | 514.50 Mn |
| 8 | US Foods Holding | 22.95 Bn | 22.75 Bn | 1.90 Bn | 218.00 Mn |
| 9 | Tractor Supply | 18.92 Bn | 18.08 Bn | 1.42 Bn | 224.67 Mn |
| 10 | Dingdong (Cayman) | 390.32 Mn | -1.05 Bn | 1.65 Mn | 40.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.04 Mn |
| Mar 31, 2026 | 23.98 Mn |
| Dec 31, 2025 | 5.37 Mn |
| Sep 30, 2025 | 12.15 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 | 11.28 Mn |
| Mar 31, 2024 | 2.19 Mn |
| Dec 31, 2023 | 3.80 Mn |
| Sep 30, 2023 | -1.42 Mn |
| Jun 30, 2023 | -4.22 Mn |
| Mar 31, 2023 | -11.48 Mn |
| Dec 31, 2022 | 1.92 Mn |
| Sep 30, 2022 | -33.54 Mn |
| Jun 30, 2022 | 13.90 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();