Fangdd Network (DUO) EPS (Diluted) (2018 - 2022)
Fangdd Network's EPS (Diluted) came in at -$2.09 for FY2025, compared with $7.69 in FY2024.
Analysis
Fangdd Network (DUO) EPS (Diluted) (2018 - 2022) Analysis & Trends
Going back to FY2017, Fangdd Network's EPS (Diluted) data covers 9 years.
- The FY2025 figure represents the lowest annual EPS (Diluted) in data going back to FY2017.
- Per Business Quant, earlier years put EPS (Diluted) at $7.69 in FY2024, -$0.01 in FY2023, -$0.27 in FY2022 and -$1.46 in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | 1.66 |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 0.03 |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 0.26 |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 1.03 |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 0.66 |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | -2.02 |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 0.85 |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 0.14 |
| 10 | Fangdd Network | 23.90 Mn | -64.95 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | -0.26 |
| Dec 31, 2021 | -1.46 |
| Sep 30, 2021 | -0.42 |
| Jun 30, 2021 | -0.17 |
| Mar 31, 2021 | -0.12 |
| Dec 31, 2020 | -0.30 |
| Sep 30, 2020 | 0.05 |
| Jun 30, 2020 | -0.03 |
| Mar 31, 2020 | -0.29 |
| Dec 31, 2019 | 0.27 |
| Sep 30, 2019 | 0.19 |
| Jun 30, 2019 | 0.21 |
| Mar 31, 2019 | -0.13 |
| Dec 31, 2018 | -0.07 |
| Sep 30, 2018 | 0.07 |
API Access
Fangdd Network EPS (Diluted) 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=eps-diluted&ticker=DUO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=DUO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();