Clps (CLPS) Cost of Revenue (2017 - 2018)
Clps (CLPS) posted Cost of Revenue of $128.18 million for the year ended Jun 30, 2025, up 16.7% from $109.87 million a year earlier.
Analysis
Clps (CLPS) Cost of Revenue (2017 - 2018) Analysis & Trends
Since the year ended Jun 30, 2016, Clps has reported Cost of Revenue for 10 years.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 72.9% (years ended Jun 2020 to Jun 2025).
- The figure for the year ended Jun 30, 2025 stands as the highest annual Cost of Revenue in data going back to the year ended Jun 30, 2016.
- Business Quant data shows CLPS's Cost of Revenue at $109.87 million in the year ended Jun 30, 2024 (-5.2%), $115.87 million in the year ended Jun 30, 2023 (+573.3%), $17.21 million in the year ended Jun 30, 2022 (+32.6%) and $12.98 million in the year ended Jun 30, 2021 (+56.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.69 Bn | 44.75 Bn | 1.60 Bn | 3.48 Bn |
| 2 | Cognizant Technology Solutions | 26.45 Bn | 19.61 Bn | 1.83 Bn | 3.65 Bn |
| 3 | Td Synnex | 22.21 Bn | 16.36 Bn | 1.43 Bn | 20.13 Bn |
| 4 | Cdw | 16.70 Bn | 14.69 Bn | 1.32 Bn | 5.25 Bn |
| 5 | Cgi | 15.63 Bn | 13.41 Bn | - | - |
| 6 | Arrow Electronics | 12.33 Bn | 11.35 Bn | 1.13 Bn | 8.87 Bn |
| 7 | Avnet | 8.78 Bn | 7.96 Bn | 865.03 Mn | 7.43 Bn |
| 8 | Ingram Micro Holding | 6.70 Bn | 2.31 Bn | 958.68 Mn | 13.57 Bn |
| 9 | EPAM Systems | 5.58 Bn | 1.22 Bn | 429.57 Mn | 985.20 Mn |
| 10 | Clps | 30.64 Mn | -3.32 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | 9.02 Mn |
| Mar 31, 2018 | 8.92 Mn |
| Jun 30, 2017 | 5.22 Mn |
| Mar 31, 2017 | 4.96 Mn |
API Access
Clps Cost of Revenue 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=cost-of-revenue&ticker=CLPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=CLPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();