Clps (CLPS) Operating Margin (2017 - 2018)
Clps' Operating Margin was -3.27% in the year ended Jun 30, 2025, down 1.50 percentage points from -1.78% a year earlier.
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Analysis
Clps (CLPS) Operating Margin (2017 - 2018) Analysis & Trends
From the year ended Jun 30, 2016 onward, Clps has reported Operating Margin for 10 years.
- Operating Margin has now declined for four consecutive years, with a five-year change of -6.86 percentage points (years ended Jun 2020 to Jun 2025).
- The figure for the year ended Jun 30, 2025 marks the lowest annual Operating Margin since the year ended Jun 30, 2019.
- Per Business Quant data, Operating Margin in earlier years was -1.78% in the year ended Jun 30, 2024 (-1.83 pp), 0.05% in the year ended Jun 30, 2023 (-4.82 pp), 4.87% in the year ended Jun 30, 2022 (-1.78 pp) and 6.66% in the year ended Jun 30, 2021 (+3.07 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 21.09% |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 15.95% |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 2.65% |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 6.52% |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | - |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 3.78% |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 2.79% |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 1.62% |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 10.76% |
| 10 | Clps | 30.64 Mn | -3.32 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | 3.36% |
| Mar 31, 2018 | 1.26% |
| Jun 30, 2017 | 8.82% |
| Mar 31, 2017 | 3.53% |
API Access
Clps Operating 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=operating-margin&ticker=CLPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=CLPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();