Fangdd Network (DUO) Return on Capital Employed [ROCE] (2019 - 2022)
Fangdd Network (DUO) recorded Return on Capital Employed [ROCE] of -24.22% in FY2025, up 4.64 percentage points from -28.86% in FY2024.
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Analysis
Fangdd Network (DUO) Return on Capital Employed [ROCE] (2019 - 2022) Analysis & Trends
Starting with FY2019, Fangdd Network's Return on Capital Employed [ROCE] history includes 7 years.
- Annual Return on Capital Employed [ROCE] has a five-year change of -16.08 percentage points (FY2020 to FY2025).
- The FY2025 figure is the highest annual Return on Capital Employed [ROCE] since FY2020.
- Per Business Quant data, DUO's Return on Capital Employed [ROCE] was -28.86% in FY2024 (+36.69 pp), -65.55% in FY2023 (-24.00 pp), -41.55% in FY2022 (+28.84 pp) and -70.39% in FY2021 (-62.25 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 13.55% |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 1.12% |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 21.19% |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 21.53% |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 10.56% |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 8.74% |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 112.05% |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 0.82% |
| 10 | Fangdd Network | 25.06 Mn | -63.79 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | -352.06% |
| Dec 31, 2021 | -117.05% |
| Sep 30, 2021 | -12.08% |
| Jun 30, 2021 | -32.17% |
| Mar 31, 2021 | -21.59% |
| Dec 31, 2020 | -24.76% |
| Sep 30, 2020 | -47.84% |
| Jun 30, 2020 | -39.50% |
| Mar 31, 2020 | -33.36% |
| Dec 31, 2019 | -32.08% |
API Access
Fangdd Network 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=DUO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "DUO", "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=DUO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();