Clps (CLPS) Other Operating Expenses (2017 - 2018)
Clps' Other Operating Expenses was $179,546 in the year ended Jun 30, 2025, down 5.1% from $189,259 a year earlier.
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Analysis
Clps (CLPS) Other Operating Expenses (2017 - 2018) Analysis & Trends
From the year ended Jun 30, 2016 onward, Clps has reported Other Operating Expenses for 10 years.
- Other Operating Expenses shows a five-year compound annual growth rate of -8.1% (years ended Jun 2020 to Jun 2025).
- The figure for the year ended Jun 30, 2025 marks the lowest annual Other Operating Expenses since the year ended Jun 30, 2019.
- Per Business Quant data, Other Operating Expenses in earlier years was $189,259 in the year ended Jun 30, 2024 (+4.7%), $180,794 in the year ended Jun 30, 2023 (-24.1%), $238,152 in the year ended Jun 30, 2022 (-24.2%) and $314,250 in the year ended Jun 30, 2021 (+14.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn |
| 10 | Clps | 30.64 Mn | -3.32 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | 621,707.00 |
| Mar 31, 2018 | 471,064.00 |
| Jun 30, 2017 | 497,782.00 |
| Mar 31, 2017 | 426,093.00 |
API Access
Clps Other 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=other-operating-expenses&ticker=CLPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "CLPS", "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-operating-expenses&ticker=CLPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();