Fangdd Network (DUO) Operating Expenses (2018 - 2022)
Fangdd Network's Operating Expenses was -$28.16 million in FY2025, compared with -$25.68 million in FY2024.
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Analysis
Fangdd Network (DUO) Operating Expenses (2018 - 2022) Analysis & Trends
From FY2016 onward, Fangdd Network has reported Operating Expenses for 10 years.
- The FY2025 figure marks the lowest annual Operating Expenses since FY2022.
- Per Business Quant data, Operating Expenses in earlier years was -$25.68 million in FY2024, $43.15 million in FY2023, -$39.75 million in FY2022 and -$166.93 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | 420.93 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 387.71 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 364.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 323.96 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 182.80 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 542.90 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 231.56 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 652.00 Mn |
| 10 | Fangdd Network | 23.90 Mn | -64.95 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | -38.54 Mn |
| Dec 31, 2021 | -166.39 Mn |
| Sep 30, 2021 | -48.91 Mn |
| Jun 30, 2021 | -31.74 Mn |
| Mar 31, 2021 | -21.65 Mn |
| Dec 31, 2020 | -96.65 Mn |
| Sep 30, 2020 | -24.39 Mn |
| Jun 30, 2020 | -21.72 Mn |
| Mar 31, 2020 | -27.14 Mn |
| Dec 31, 2019 | -183.57 Mn |
| Sep 30, 2019 | -17.41 Mn |
| Jun 30, 2019 | -22.84 Mn |
| Mar 31, 2019 | -17.23 Mn |
| Dec 31, 2018 | -16.85 Mn |
| Sep 30, 2018 | -12.85 Mn |
API Access
Fangdd Network Operating Expenses 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-expenses&ticker=DUO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=DUO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();