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 | 50.24 Bn | 36.74 Bn | 1.60 Bn | 1,528.73% |
| 2 | Cognizant Technology Solutions | 31.12 Bn | 24.28 Bn | 1.83 Bn | 11.60% |
| 3 | Wipro | 20.11 Bn | 14.81 Bn | 738.00 Mn | 13.73% |
| 4 | Td Synnex | 19.66 Bn | 13.82 Bn | 1.43 Bn | 1.93% |
| 5 | Cdw | 19.39 Bn | 17.38 Bn | 1.32 Bn | 4.18% |
| 6 | Cgi | 16.87 Bn | 14.67 Bn | - | 11.09% |
| 7 | Arrow Electronics | 11.10 Bn | 10.05 Bn | 1.13 Bn | 2.73% |
| 8 | Avnet | 7.54 Bn | 6.72 Bn | 865.03 Mn | 1.53% |
| 9 | EPAM Systems | 6.64 Bn | 2.28 Bn | 429.57 Mn | 7.28% |
| 10 | Clps | 26.16 Mn | -2.66 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | 5.25% |
| Mar 31, 2018 | 2.91% |
| Jun 30, 2017 | 8.53% |
| Mar 31, 2017 | 3.04% |
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();