Dingdong (Cayman) (DDL) Selling, General & Administrative (2020 - 2026)
Dingdong (Cayman) (DDL) posted Selling, General & Administrative of -$2.45 million for the quarter ended Jun 30, 2026, compared with -$17.16 million a year earlier.
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Analysis
Dingdong (Cayman) (DDL) Selling, General & Administrative (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Dingdong (Cayman) was -$40.16 million; for the year ended Dec 31, 2025, it came in at -$69.52 million.
- In prior years, Dingdong (Cayman)'s Selling, General & Administrative was -$58.14 million in the year ended Dec 31, 2024, -$50.58 million in the year ended Dec 31, 2023, -$78.53 million in the year ended Dec 31, 2022 and -$107.17 million in the year ended Dec 31, 2021.
- Quarterly Selling, General & Administrative has run from a low of -$23.73 million in the quarter ended Sep 30, 2021 to a high of -$2.21 million in the quarter ended Mar 31, 2026 over five years.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was -$2.21 million (quarter ended Mar 31, 2026), -$18.63 million (quarter ended Dec 31, 2025) and -$16.87 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 39.75 Bn |
| 2 | Costco Wholesale | 405.79 Bn | 335.09 Bn | 9.01 Bn | 6.19 Bn |
| 3 | Sysco | 37.26 Bn | 31.51 Bn | 4.13 Bn | - |
| 4 | Kroger | 35.13 Bn | 21.29 Bn | 7.86 Bn | - |
| 5 | Dollar General | 26.23 Bn | 20.91 Bn | 3.68 Bn | 2.91 Bn |
| 6 | Caseys General Stores | 22.90 Bn | 20.89 Bn | 1.24 Bn | - |
| 7 | Dollar Tree | 21.48 Bn | 18.10 Bn | 2.10 Bn | 1.43 Bn |
| 8 | US Foods Holding | 20.32 Bn | 20.12 Bn | 1.92 Bn | 1.48 Bn |
| 9 | Tractor Supply | 16.56 Bn | 15.72 Bn | 1.68 Bn | 1.02 Bn |
| 10 | Dingdong (Cayman) | 1.40 Bn | 120.79 Mn | 1.64 Mn | -2.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.45 Mn |
| Mar 31, 2026 | -2.21 Mn |
| Dec 31, 2025 | -18.63 Mn |
| Sep 30, 2025 | -16.87 Mn |
| Jun 30, 2025 | -17.16 Mn |
| Mar 31, 2025 | -15.56 Mn |
| Dec 31, 2024 | -14.96 Mn |
| Sep 30, 2024 | -14.53 Mn |
| Jun 30, 2024 | -14.88 Mn |
| Mar 31, 2024 | -14.55 Mn |
| Dec 31, 2023 | -13.22 Mn |
| Sep 30, 2023 | -12.25 Mn |
| Jun 30, 2023 | -12.28 Mn |
| Mar 31, 2023 | -12.65 Mn |
| Dec 31, 2022 | -21.65 Mn |
| Sep 30, 2022 | -16.88 Mn |
| Jun 30, 2022 | -22.92 Mn |
| Mar 31, 2022 | -18.74 Mn |
| Dec 31, 2021 | -20.31 Mn |
| Sep 30, 2021 | -23.73 Mn |
API Access
Dingdong (Cayman) Selling, General & Administrative 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=selling-general-and-administrative&ticker=DDL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=DDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();