Dingdong (Cayman) (DDL) Return on Capital Employed [ROCE] (2021 - 2026)
Dingdong (Cayman) (DDL) recorded Return on Capital Employed [ROCE] of -7.96% in the quarter ended Jun 30, 2026, down 19.22 percentage points from 11.27% a year earlier and down 13.87 percentage points from the prior quarter.
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Analysis
Dingdong (Cayman) (DDL) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Dingdong (Cayman) reported Return on Capital Employed [ROCE] of 6.12%, down 3.36 percentage points from the prior year.
- Across earlier years, Return on Capital Employed [ROCE] came in at 9.48% in the year ended Dec 31, 2024.
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly Return on Capital Employed [ROCE] since the quarter ended Dec 31, 2023.
- On a year-over-year basis, Return on Capital Employed [ROCE] has declined for four consecutive quarters, with an average year-over-year change of +4.05 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 269.99 percentage points in the quarter ended Mar 31, 2023, against a drop of 19.22 percentage points in the quarter ended Jun 30, 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at 5.92% (quarter ended Mar 31, 2026), 6.03% (quarter ended Dec 31, 2025) and 8.55% (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 18.33% |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn | 26.16% |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | 17.51% |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | 4.92% |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | 9.89% |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | 20.28% |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn | 20.72% |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn | 12.21% |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | 15.37% |
| 10 | Dingdong (Cayman) | 1.40 Bn | 120.79 Mn | 1.64 Mn | -7.96% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -7.96% |
| Mar 31, 2026 | 5.92% |
| Dec 31, 2025 | 6.03% |
| Sep 30, 2025 | 8.55% |
| Jun 30, 2025 | 11.27% |
| Mar 31, 2025 | 10.22% |
| Dec 31, 2024 | 11.81% |
| Sep 30, 2024 | 9.90% |
| Jun 30, 2024 | 0.75% |
| Mar 31, 2024 | -5.43% |
| Dec 31, 2023 | -10.14% |
| Sep 30, 2023 | -5.02% |
| Jun 30, 2023 | -22.37% |
| Mar 31, 2023 | -20.09% |
| Dec 31, 2022 | -70.98% |
| Sep 30, 2022 | -119.08% |
| Jun 30, 2022 | -274.99% |
| Mar 31, 2022 | -290.08% |
| Dec 31, 2021 | -232.94% |
| Sep 30, 2021 | -226.62% |
API Access
Dingdong (Cayman) Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=DDL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=DDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();