Clps (CLPS) Gross Margin (2017 - 2018)
Clps' Gross Margin was 22.11% in the year ended Jun 30, 2025, down 0.98 percentage points from 23.08% a year earlier.
Analysis
Clps (CLPS) Gross Margin (2017 - 2018) Analysis & Trends
From the year ended Jun 30, 2016 onward, Clps has reported Gross Margin for 10 years.
- Gross Margin shows a five-year change of -12.70 percentage points (years ended Jun 2020 to Jun 2025).
- The figure for the year ended Jun 30, 2025 marks the lowest annual Gross Margin in data going back to the year ended Jun 30, 2016.
- Per Business Quant data, Gross Margin in earlier years was 23.08% in the year ended Jun 30, 2024 (+0.14 pp), 22.94% in the year ended Jun 30, 2023 (-4.03 pp), 26.97% in the year ended Jun 30, 2022 (-4.96 pp) and 31.93% in the year ended Jun 30, 2021 (-2.87 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.39 Bn | 37.89 Bn | 1.60 Bn | 31.48% |
| 2 | Cognizant Technology Solutions | 31.90 Bn | 25.06 Bn | 1.83 Bn | 33.37% |
| 3 | Wipro | 20.59 Bn | 15.29 Bn | 738.00 Mn | 28.54% |
| 4 | Cdw | 19.62 Bn | 17.60 Bn | 1.32 Bn | 20.08% |
| 5 | Td Synnex | 19.58 Bn | 13.73 Bn | 1.43 Bn | 6.61% |
| 6 | Cgi | 17.35 Bn | 15.14 Bn | - | - |
| 7 | Arrow Electronics | 10.93 Bn | 9.88 Bn | 1.13 Bn | 11.26% |
| 8 | Avnet | 7.43 Bn | 6.61 Bn | 865.03 Mn | 10.43% |
| 9 | EPAM Systems | 6.80 Bn | 2.44 Bn | 429.57 Mn | 30.36% |
| 10 | Clps | 30.34 Mn | -329.42 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | 34.93% |
| Mar 31, 2018 | 30.77% |
| Jun 30, 2017 | 43.03% |
| Mar 31, 2017 | 36.94% |
API Access
Clps Gross 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=gross-margin&ticker=CLPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=CLPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();