Cloopen Group Holding (RAASY) Operating Expenses (2019 - 2021)
Cloopen Group Holding (RAASY) reported Operating Expenses of $56.11 million for FY2025, up 0.2% from $55.99 million in FY2024.
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Analysis
Cloopen Group Holding (RAASY) Operating Expenses (2019 - 2021) Analysis & Trends
Dating back to FY2018, Cloopen Group Holding's Operating Expenses record includes 8 years.
- Operating Expenses has a five-year compound annual growth rate of -9.1% (FY2020 to FY2025).
- Five-year annual Operating Expenses spans a low of $55.99 million in FY2024 and a high of $185.71 million in FY2021.
- According to Business Quant data, Operating Expenses came in at $55.99 million in FY2024 (-38.0%), $90.31 million in FY2023 (-48.1%), $174.05 million in FY2022 (-6.3%) and $185.71 million in FY2021 (+105.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 94.52 Bn | 69.77 Bn | 6.00 Bn | 3.64 Bn |
| 2 | Autodesk | 54.99 Bn | 43.02 Bn | 1.87 Bn | 1.27 Bn |
| 3 | Atlassian | 39.98 Bn | 33.26 Bn | 1.53 Bn | 1.32 Bn |
| 4 | Twilio | 30.87 Bn | 20.51 Bn | 760.53 Mn | 611.90 Mn |
| 5 | Zoom Communications | 26.33 Bn | -4.40 Bn | 985.50 Mn | 671.18 Mn |
| 6 | Figma | 10.00 Bn | 3.32 Bn | 314.44 Mn | 433.61 Mn |
| 7 | Dropbox | 7.80 Bn | 3.43 Bn | 506.50 Mn | 341.70 Mn |
| 8 | Open Text | 6.19 Bn | 1.62 Bn | 1.01 Bn | 691.79 Mn |
| 9 | RingCentral | 6.04 Bn | 5.57 Bn | 494.30 Mn | 440.42 Mn |
| 10 | Cloopen Group Holding | 156.19 Mn | -317.99 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | 77.15 Mn |
| Sep 30, 2021 | 36.90 Mn |
| Jun 30, 2021 | 33.22 Mn |
| Mar 31, 2021 | 36.32 Mn |
| Dec 31, 2020 | 27.64 Mn |
| Sep 30, 2020 | 22.68 Mn |
| Jun 30, 2020 | 18.28 Mn |
| Mar 31, 2020 | 17.68 Mn |
| Dec 31, 2019 | 19.69 Mn |
API Access
Cloopen Group Holding Operating 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=operating-expenses&ticker=RAASY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=RAASY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();