Fangdd Network (DUO) Return on Sales [ROS] (2018 - 2022)
Fangdd Network (DUO) posted Return on Sales [ROS] of -36.56% for FY2025, up 0.50 percentage points from -37.06% in FY2024.
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Analysis
Fangdd Network (DUO) Return on Sales [ROS] (2018 - 2022) Analysis & Trends
Since FY2016, Fangdd Network has reported Return on Sales [ROS] for 10 years.
- Annual Return on Sales [ROS] has increased for four consecutive years, though with a five-year change of -31.53 percentage points (FY2020 to FY2025).
- The FY2025 figure stands as the highest annual Return on Sales [ROS] since FY2020.
- Business Quant data shows DUO's Return on Sales [ROS] at -37.06% in FY2024 (+56.00 pp), -93.06% in FY2023 (+8.35 pp), -101.40% in FY2022 (+0.18 pp) and -101.58% in FY2021 (-96.55 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 29.64% |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 0.96% |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 7.97% |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 27.75% |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 11.37% |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 13.58% |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 22.24% |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 8.22% |
| 10 | Fangdd Network | 25.06 Mn | -63.79 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | -416.32% |
| Dec 31, 2021 | -1,186.17% |
| Sep 30, 2021 | 190.54% |
| Jun 30, 2021 | -35.53% |
| Mar 31, 2021 | -36.77% |
| Dec 31, 2020 | -36.31% |
| Sep 30, 2020 | 2.86% |
| Jun 30, 2020 | -4.47% |
| Mar 31, 2020 | -51.46% |
| Dec 31, 2019 | -51.25% |
| Sep 30, 2019 | 8.11% |
| Jun 30, 2019 | 7.02% |
| Mar 31, 2019 | 0.78% |
| Dec 31, 2018 | 4.29% |
| Sep 30, 2018 | 3.89% |
API Access
Fangdd Network Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=DUO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=DUO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();