Fangdd Network (DUO) Inventory (2022 - 2026)
Fangdd Network (DUO) reported Inventory of $4.94 million for Q2 2026, up 598.4% from $707,000 a year earlier.
Powered by 
Analysis
Fangdd Network (DUO) Inventory (2022 - 2026) Analysis & Trends
At the end of FY2025, Fangdd Network posted Inventory of $698,826, down 6.7% from FY2024.
- Inventory has a three-year compound annual growth rate of -25.1% (FY2022 to FY2025).
- By year, Inventory came in at $748,737 in FY2024 (-57.5%), $1.76 million in FY2023 (+6.0%) and $1.66 million in FY2022.
- The Q2 2026 figure ranks as the highest quarterly Inventory in data going back to Q2 2022.
- Year over year, Inventory gained in 1 of the last four quarters, with growth averaging 130.4%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | - |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 57.03 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 217.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | - |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | - |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 185.30 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | - |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | - |
| 10 | Fangdd Network | 23.90 Mn | -64.95 Mn | - | 728,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.94 Mn |
| Dec 31, 2025 | 708,064.84 |
| Jun 30, 2025 | 707,000.00 |
| Dec 31, 2024 | 748,980.57 |
| Jun 30, 2024 | 828,000.00 |
| Dec 31, 2023 | 1.74 Mn |
| Jun 30, 2023 | 1.75 Mn |
| Dec 31, 2022 | 1.57 Mn |
| Jun 30, 2022 | 1.64 Mn |
API Access
Fangdd Network Inventory 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=inventory&ticker=DUO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=DUO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();