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 | 998.27 Bn | 954.70 Bn | 49.13 Bn | 39.75 Bn |
| 2 | Costco Wholesale | 467.84 Bn | 391.12 Bn | 12.19 Bn | 8.39 Bn |
| 3 | Kroger | 41.10 Bn | 27.25 Bn | 7.86 Bn | - |
| 4 | Sysco | 37.00 Bn | 28.92 Bn | 4.05 Bn | - |
| 5 | Dollar General | 29.48 Bn | 24.16 Bn | 3.68 Bn | 2.91 Bn |
| 6 | Caseys General Stores | 25.44 Bn | 23.43 Bn | 1.24 Bn | - |
| 7 | Dollar Tree | 24.95 Bn | 21.57 Bn | 2.10 Bn | 1.43 Bn |
| 8 | US Foods Holding | 22.95 Bn | 22.75 Bn | 1.90 Bn | 1.50 Bn |
| 9 | Tractor Supply | 18.92 Bn | 18.08 Bn | 1.42 Bn | 984.29 Mn |
| 10 | Dingdong (Cayman) | 390.32 Mn | -1.05 Bn | 1.65 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();