Fangdd Network (DUO) Debt Ratio (2018 - 2025)
Fangdd Network's (DUO) Debt Ratio came in at 0.01 for Q2 2025.
Analysis
Fangdd Network (DUO) Debt Ratio (2018 - 2025) Analysis & Trends
For FY2022, Fangdd Network's Debt Ratio stood at 0.07, up 90.0% from FY2021.
- In prior years, Fangdd Network's Debt Ratio was 0.04 in FY2021 (+4.0%), 0.03 in FY2020 (-68.5%), 0.11 in FY2019 (-21.1%) and 0.14 in FY2018.
- The Q2 2025 figure stands as the highest quarterly Debt Ratio in data going back to Q4 2018.
- The strongest year-over-year quarter for Debt Ratio in the past five years was Q2 2022, with growth of 16.2%; the weakest was Q4 2021, with a decline of 35.7%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 72.83 |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | - |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | - |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | - |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 0.00 |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | - |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 0.17 |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | - |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 0.10 |
| 10 | Fangdd Network | 23.90 Mn | -64.95 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 0.01 |
| Jun 30, 2023 | 0.08 |
| Dec 31, 2022 | 0.07 |
| Jun 30, 2022 | 0.10 |
| Dec 31, 2021 | 0.07 |
| Sep 30, 2021 | 0.08 |
| Jun 30, 2021 | 0.09 |
| Mar 31, 2021 | 0.10 |
| Dec 31, 2020 | 0.11 |
| Sep 30, 2020 | 0.11 |
| Jun 30, 2020 | 0.09 |
| Mar 31, 2020 | 0.12 |
| Dec 31, 2019 | 0.11 |
| Sep 30, 2019 | 0.11 |
| Dec 31, 2018 | 0.14 |
API Access
Fangdd Network Debt Ratio 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=debt-ratio&ticker=DUO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=DUO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();