Dingdong (Cayman) (DDL) Research & Development (2020 - 2026)
Dingdong (Cayman) (DDL) reported Research & Development of -$2.91 million for the quarter ended Jun 30, 2026, compared with -$28.17 million a year earlier.
Powered by 
Analysis
Dingdong (Cayman) (DDL) Research & Development (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Dingdong (Cayman)'s Research & Development came in at -$64.5 million; for the year ended Dec 31, 2025, it was -$117.54 million.
- By year, Research & Development came in at -$109.6 million in the year ended Dec 31, 2024, -$113.09 million in the year ended Dec 31, 2023, -$145.45 million in the year ended Dec 31, 2022 and -$142.02 million in the year ended Dec 31, 2021.
- Five-year quarterly Research & Development spans a low of -$44.68 million in the quarter ended Dec 31, 2021 and a high of -$1.74 million in the quarter ended Mar 31, 2026.
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at -$1.74 million (quarter ended Mar 31, 2026), -$31.28 million (quarter ended Dec 31, 2025) and -$28.58 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (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 | -2.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.91 Mn |
| Mar 31, 2026 | -1.74 Mn |
| Dec 31, 2025 | -31.28 Mn |
| Sep 30, 2025 | -28.58 Mn |
| Jun 30, 2025 | -28.17 Mn |
| Mar 31, 2025 | -27.28 Mn |
| Dec 31, 2024 | -27.62 Mn |
| Sep 30, 2024 | -28.84 Mn |
| Jun 30, 2024 | -27.89 Mn |
| Mar 31, 2024 | -26.77 Mn |
| Dec 31, 2023 | -26.93 Mn |
| Sep 30, 2023 | -27.32 Mn |
| Jun 30, 2023 | -27.82 Mn |
| Mar 31, 2023 | -30.67 Mn |
| Dec 31, 2022 | -37.55 Mn |
| Sep 30, 2022 | -35.85 Mn |
| Jun 30, 2022 | -38.12 Mn |
| Mar 31, 2022 | -36.90 Mn |
| Dec 31, 2021 | -44.68 Mn |
| Sep 30, 2021 | -39.93 Mn |
API Access
Dingdong (Cayman) Research & Development 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=research-and-development&ticker=DDL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=DDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();