Dingdong (Cayman) (DDL) Inventory (2020 - 2026)
Dingdong (Cayman) (DDL) reported Inventory of $3 million for the quarter ended Jun 30, 2026, down 95.7% from $70.49 million a year earlier and down 15.1% from the prior quarter.
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Analysis
Dingdong (Cayman) (DDL) Inventory (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Dingdong (Cayman) posted Inventory of $81.58 million, up 7.6% from the prior year.
- Inventory has a five-year compound annual growth rate of 7.8% (years ended Dec 2020 to Dec 2025).
- By year, Inventory came in at $75.84 million in the year ended Dec 31, 2024 (-99.9%), $66.46 billion in the year ended Dec 31, 2023 (-24.2%), $87.7 billion in the year ended Dec 31, 2022 (+4.0%) and $84.34 billion in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 ranks as the lowest quarterly Inventory in data going back to the quarter ended Dec 31, 2020.
- Year over year, Inventory has now declined in each of the last four quarters, with an average decline of 29.3% over the last eight quarters.
- The high point for year-over-year Inventory in five years was the quarter ended Dec 31, 2021 (growth of 44.2%); the low point was the quarter ended Jun 30, 2026 (a decline of 95.7%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $3.53 million (quarter ended Mar 31, 2026), $5.52 million (quarter ended Dec 31, 2025) and $83.01 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 61.60 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 19.42 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 | 6.55 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 557.97 Mn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 2.45 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 1.70 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 3.52 Bn |
| 10 | Dingdong (Cayman) | 1.39 Bn | 114.26 Mn | 1.64 Mn | 3.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.00 Mn |
| Mar 31, 2026 | 3.53 Mn |
| Dec 31, 2025 | 5.52 Mn |
| Sep 30, 2025 | 83.01 Mn |
| Jun 30, 2025 | 70.49 Mn |
| Mar 31, 2025 | 64.99 Mn |
| Dec 31, 2024 | 77.07 Mn |
| Sep 30, 2024 | 84.56 Mn |
| Jun 30, 2024 | 65.41 Mn |
| Mar 31, 2024 | 62.34 Mn |
| Dec 31, 2023 | 65.54 Mn |
| Sep 30, 2023 | 69.80 Mn |
| Jun 30, 2023 | 58.92 Mn |
| Mar 31, 2023 | 69.71 Mn |
| Dec 31, 2022 | 85.05 Mn |
| Sep 30, 2022 | 89.32 Mn |
| Jun 30, 2022 | 86.35 Mn |
| Mar 31, 2022 | 74.97 Mn |
| Dec 31, 2021 | 84.07 Mn |
| Sep 30, 2021 | 100.70 Mn |
API Access
Dingdong (Cayman) Inventory 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=inventory&ticker=DDL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=DDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();