Dingdong (Cayman) (DDL) Operating Leases (2020 - 2026)
Dingdong (Cayman)'s Operating Leases came in at $9.42 million for the quarter ended Jun 30, 2026, down 91.6% from $112.38 million a year earlier and down 92.7% from the prior quarter.
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Analysis
Dingdong (Cayman) (DDL) Operating Leases (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Dingdong (Cayman)'s Operating Leases was $128.39 million, up 20.1% from the prior year.
- Operating Leases carries a five-year compound annual growth rate of 0.3% (years ended Dec 2020 to Dec 2025).
- Going back by year, Operating Leases was $106.86 million in the year ended Dec 31, 2024 (-99.9%), $80.01 billion in the year ended Dec 31, 2023 (-18.6%), $98.3 billion in the year ended Dec 31, 2022 (-49.6%) and $195.23 billion in the year ended Dec 31, 2021.
- The five-year range for quarterly Operating Leases is $40,465 (the quarter ended Dec 31, 2025) to $194.59 million (the quarter ended Dec 31, 2021).
- Year-over-year, Operating Leases increased in six of the last eight quarters, with growth averaging 1.9%.
- The fastest year-over-year change in Operating Leases over five years came in the quarter ended Dec 31, 2021 (growth of 47.9%), and the weakest in the quarter ended Dec 31, 2025 (a decline of 100.0%).
- Business Quant data shows DDL's Operating Leases at $128.19 million (quarter ended Mar 31, 2026), $40,465 (quarter ended Dec 31, 2025) and $127.47 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 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 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn |
| 10 | Dingdong (Cayman) | 1.39 Bn | 114.26 Mn | 1.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.42 Mn |
| Mar 31, 2026 | 128.19 Mn |
| Dec 31, 2025 | 40,464.88 |
| Sep 30, 2025 | 127.47 Mn |
| Jun 30, 2025 | 112.38 Mn |
| Mar 31, 2025 | 106.97 Mn |
| Dec 31, 2024 | 108.59 Mn |
| Sep 30, 2024 | 100.01 Mn |
| Jun 30, 2024 | 83.58 Mn |
| Mar 31, 2024 | 73.10 Mn |
| Dec 31, 2023 | 78.89 Mn |
| Sep 30, 2023 | 70.84 Mn |
| Jun 30, 2023 | 81.66 Mn |
| Mar 31, 2023 | 89.56 Mn |
| Dec 31, 2022 | 95.33 Mn |
| Sep 30, 2022 | 112.76 Mn |
| Jun 30, 2022 | 124.74 Mn |
| Mar 31, 2022 | 137.39 Mn |
| Dec 31, 2021 | 194.59 Mn |
| Sep 30, 2021 | 130.52 Mn |
API Access
Dingdong (Cayman) Operating Leases 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=operating-leases&ticker=DDL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=DDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();