Clps (CLPS) Net Margin (2017 - 2018)
Clps' Net Margin came in at -30.96% for the year ended Jun 30, 2025, down 17.40 percentage points from -13.56% a year earlier.
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Analysis
Clps (CLPS) Net Margin (2017 - 2018) Analysis & Trends
Going back to the year ended Jun 30, 2016, Clps' Net Margin data covers 10 years.
- Net Margin has declined in each of the last three years, with a five-year change of -54.06 percentage points (years ended Jun 2020 to Jun 2025).
- The figure for the year ended Jun 30, 2025 represents the lowest annual Net Margin since the year ended Jun 30, 2019.
- Per Business Quant, earlier years put Net Margin at -13.56% in the year ended Jun 30, 2024 (-16.92 pp), 3.36% in the year ended Jun 30, 2023 (-15.55 pp), 18.91% in the year ended Jun 30, 2022 (+9.42 pp) and 9.50% in the year ended Jun 30, 2021 (-13.60 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 16.16% |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 11.60% |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | 1.71% |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | 4.18% |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | 11.09% |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | 2.73% |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 1.53% |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | 0.76% |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | 7.28% |
| 10 | Clps | 30.64 Mn | -3.32 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | 14.84% |
| Mar 31, 2018 | 1.66% |
| Jun 30, 2017 | 24.16% |
| Mar 31, 2017 | 0.74% |
API Access
Clps Net Margin 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=net-margin&ticker=CLPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=CLPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();