Cloopen Group Holding (RAASY) Other Accumulated Expenses (2019 - 2025)
Cloopen Group Holding (RAASY) reported Other Accumulated Expenses of $213,463 for Q4 2025, down 20.6% from $268,686 a year earlier.
Analysis
Cloopen Group Holding (RAASY) Other Accumulated Expenses (2019 - 2025) Analysis & Trends
At the end of FY2025, Cloopen Group Holding posted Other Accumulated Expenses of $56,000, up 166.7% from FY2024.
- Other Accumulated Expenses has a five-year compound annual growth rate of -3.9% (FY2020 to FY2025).
- By year, Other Accumulated Expenses came in at $21,000 in FY2024 (-27.6%), $29,000 in FY2023 (-74.3%), $113,000 in FY2022 (-77.6%) and $505,255 in FY2021 (+639.8%).
- The Q4 2025 figure ranks as the lowest quarterly Other Accumulated Expenses since Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 101.14 Bn | 76.39 Bn | 6.00 Bn |
| 2 | Atlassian | 57.46 Bn | 50.74 Bn | 1.53 Bn |
| 3 | Autodesk | 51.51 Bn | 39.54 Bn | 1.87 Bn |
| 4 | Twilio | 39.51 Bn | 29.58 Bn | 725.87 Mn |
| 5 | Zoom Communications | 28.54 Bn | -2.25 Bn | 985.50 Mn |
| 6 | Figma | 11.99 Bn | 5.50 Bn | 309.61 Mn |
| 7 | Dropbox | 8.17 Bn | 3.81 Bn | 506.50 Mn |
| 8 | Nice | 7.13 Bn | 5.60 Bn | 995.81 Mn |
| 9 | RingCentral | 6.87 Bn | 6.36 Bn | 472.31 Mn |
| 10 | Cloopen Group Holding | 136.26 Mn | -336.57 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 216,406.29 |
| Dec 31, 2024 | 264,452.38 |
| Dec 31, 2023 | 279,161.39 |
| Dec 31, 2022 | 156,539.48 |
| Dec 31, 2021 | 511,448.37 |
| Dec 31, 2020 | 72,214.90 |
| Dec 31, 2019 | 140,143.43 |
API Access
Cloopen Group Holding Other 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=other-accumulated-expenses&ticker=RAASY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "RAASY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=RAASY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();