Cloopen Group Holding (RAASY) Accumulated Expenses (2019 - 2025)
Cloopen Group Holding (RAASY) posted Accumulated Expenses of $14.48 million for Q4 2025, up 2.9% from $14.06 million a year earlier.
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Analysis
Cloopen Group Holding (RAASY) Accumulated Expenses (2019 - 2025) Analysis & Trends
At the end of FY2025, Cloopen Group Holding's Accumulated Expenses came in at $14.68 million, up 6.1% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 0.4% (FY2020 to FY2025).
- In prior years, Cloopen Group Holding's Accumulated Expenses was $13.84 million in FY2024 (+15.3%), $12 million in FY2023 (-65.9%), $35.19 million in FY2022 (+34.3%) and $26.2 million in FY2021 (+82.0%).
- The Q4 2025 figure stands as the highest quarterly Accumulated Expenses since Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 105.79 Bn | 81.04 Bn | 6.00 Bn |
| 2 | Atlassian | 58.06 Bn | 51.34 Bn | 1.53 Bn |
| 3 | Autodesk | 53.28 Bn | 41.32 Bn | 1.87 Bn |
| 4 | Twilio | 38.95 Bn | 29.02 Bn | 725.87 Mn |
| 5 | Zoom Communications | 28.12 Bn | -2.67 Bn | 985.50 Mn |
| 6 | Figma | 12.79 Bn | 6.29 Bn | 309.61 Mn |
| 7 | Dropbox | 8.23 Bn | 3.87 Bn | 506.50 Mn |
| 8 | Nice | 7.08 Bn | 5.55 Bn | 995.81 Mn |
| 9 | Open Text | 6.77 Bn | 2.20 Bn | 1.01 Bn |
| 10 | Cloopen Group Holding | 133.48 Mn | -340.70 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 14.68 Mn |
| Dec 31, 2024 | 13.84 Mn |
| Dec 31, 2023 | 11.76 Mn |
| Dec 31, 2022 | 34.86 Mn |
| Dec 31, 2021 | 26.21 Mn |
| Dec 31, 2020 | 13.14 Mn |
| Dec 31, 2019 | 9.25 Mn |
API Access
Cloopen Group Holding 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=RAASY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=RAASY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();