Dingdong (Cayman) (DDL) Total Non-Current Liabilities (2020 - 2026)
Dingdong (Cayman) (DDL) recorded Total Non-Current Liabilities of $9.42 million in the quarter ended Jun 30, 2026, down 92.9% from $132.64 million a year earlier.
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Analysis
Dingdong (Cayman) (DDL) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Dingdong (Cayman) reported Total Non-Current Liabilities of $149.49 million, up 18.2% from the prior year.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 2.1% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Total Non-Current Liabilities came in at $126.47 million in the year ended Dec 31, 2024 (-99.9%), $97.78 billion in the year ended Dec 31, 2023 (-10.4%), $109.18 billion in the year ended Dec 31, 2022 (-47.0%) and $206.11 billion in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly Total Non-Current Liabilities in data going back to the quarter ended Dec 31, 2020.
- On a year-over-year basis, Total Non-Current Liabilities rose in six of the last seven quarters, with growth averaging 12.2%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 46.4% in the quarter ended Dec 31, 2021, against a decline of 92.9% in the quarter ended Jun 30, 2026 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | - |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 50.26 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 15.21 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 41.67 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 22.57 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 4.95 Bn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 10.33 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 9.44 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 9.36 Bn |
| 10 | Dingdong (Cayman) | 1.39 Bn | 114.26 Mn | 1.64 Mn | 9.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.42 Mn |
| Dec 31, 2025 | 147.39 Mn |
| Sep 30, 2025 | 148.02 Mn |
| Jun 30, 2025 | 132.64 Mn |
| Mar 31, 2025 | 126.82 Mn |
| Dec 31, 2024 | 128.52 Mn |
| Sep 30, 2024 | 119.33 Mn |
| Jun 30, 2024 | 102.09 Mn |
| Mar 31, 2024 | 90.82 Mn |
| Dec 31, 2023 | 96.42 Mn |
| Sep 30, 2023 | 87.47 Mn |
| Jun 30, 2023 | 97.91 Mn |
| Mar 31, 2023 | 106.31 Mn |
| Dec 31, 2022 | 105.87 Mn |
| Sep 30, 2022 | 127.76 Mn |
| Jun 30, 2022 | 145.51 Mn |
| Mar 31, 2022 | 176.50 Mn |
| Dec 31, 2021 | 205.44 Mn |
| Sep 30, 2021 | 174.58 Mn |
| Jun 30, 2021 | 154.76 Mn |
API Access
Dingdong (Cayman) Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=DDL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=DDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();