Clps (CLPS) Selling, General & Administrative (2017 - 2018)
Clps (CLPS) posted Selling, General & Administrative of -$4.42 million for the year ended Jun 30, 2025, compared with -$3.49 million a year earlier.
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Analysis
Clps (CLPS) Selling, General & Administrative (2017 - 2018) Analysis & Trends
Since the year ended Jun 30, 2016, Clps has reported Selling, General & Administrative for 10 years.
- The figure for the year ended Jun 30, 2025 stands as the lowest annual Selling, General & Administrative in data going back to the year ended Jun 30, 2016.
- Business Quant data shows CLPS's Selling, General & Administrative at -$3.49 million in the year ended Jun 30, 2024, -$3.11 million in the year ended Jun 30, 2023, -$3.57 million in the year ended Jun 30, 2022 and -$2.54 million in the year ended Jun 30, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 258.00 Mn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 728.00 Mn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | 820.10 Mn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | 891.20 Mn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | - |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | 688.14 Mn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 547.51 Mn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | 714.42 Mn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | 245.25 Mn |
| 10 | Clps | 30.64 Mn | -3.32 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | 1.73 Mn |
| Mar 31, 2018 | 1.08 Mn |
| Jun 30, 2017 | 1.64 Mn |
| Mar 31, 2017 | 975,907.00 |
API Access
Clps Selling, General & Administrative 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=selling-general-and-administrative&ticker=CLPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=CLPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();