Ucommune International (UK) Accumulated Expenses (2022 - 2025)
Ucommune International's Accumulated Expenses was $58,935 in Q4 2025, down 97.9% from $2.83 million a year earlier.
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Analysis
Ucommune International (UK) Accumulated Expenses (2022 - 2025) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Ucommune International came in at $60,000, down 97.7% from FY2024.
- Accumulated Expenses has now declined for three consecutive years, with a five-year compound annual growth rate of -40.1% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $2.59 million in FY2024 (-42.4%), $4.49 million in FY2023 (-79.7%), $22.14 million in FY2022 and $950,000 in FY2021 (+22.4%).
- The Q4 2025 figure marks the lowest quarterly Accumulated Expenses in data going back to Q4 2019.
- The best year-over-year quarter for Accumulated Expenses over five years was Q3 2021 (growth of 39.4%); the worst was Q4 2025 (a decline of 97.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 18.94 Bn | 17.93 Bn | 106.12 Mn |
| 2 | LandBridge | 5.09 Bn | 5.45 Bn | 69.80 Mn |
| 3 | Howard Hughes Holdings | 5.05 Bn | -3.72 Bn | 435.75 Mn |
| 4 | St Joe | 4.12 Bn | 3.63 Bn | 80.65 Mn |
| 5 | Millrose Properties | 4.03 Bn | 3.85 Bn | - |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.35 Bn | 2.16 Bn | - |
| 7 | EagleRock Land | 2.64 Bn | 4.02 Bn | - |
| 8 | Opendoor Technologies | 1.22 Bn | -2.55 Bn | 38.00 Mn |
| 9 | Forestar | 1.18 Bn | 1.18 Bn | - |
| 10 | Ucommune International | 728,948.81 | -28.41 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.59 Mn |
| Dec 31, 2024 | 2.79 Mn |
| Jun 30, 2024 | 18.03 Mn |
| Dec 31, 2023 | 18.81 Mn |
| Dec 31, 2022 | 33.01 Mn |
API Access
Ucommune International Accumulated 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=accumulated-expenses&ticker=UK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "UK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=UK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();