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.
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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 | 982.48 Bn | 938.91 Bn | 49.13 Bn | - |
| 2 | Costco Wholesale | 450.04 Bn | 373.32 Bn | 12.19 Bn | - |
| 3 | Kroger | 40.41 Bn | 26.56 Bn | 7.86 Bn | - |
| 4 | Sysco | 39.49 Bn | 33.74 Bn | 4.13 Bn | - |
| 5 | Dollar General | 29.03 Bn | 23.71 Bn | 3.68 Bn | - |
| 6 | Dollar Tree | 25.46 Bn | 22.08 Bn | 2.10 Bn | - |
| 7 | Caseys General Stores | 25.04 Bn | 23.03 Bn | 1.24 Bn | - |
| 8 | US Foods Holding | 22.52 Bn | 22.32 Bn | 1.92 Bn | - |
| 9 | Tractor Supply | 17.67 Bn | 17.67 Bn | - | - |
| 10 | Dingdong (Cayman) | 407.44 Mn | -1.03 Bn | 1.65 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();