Clps (CLPS) Enterprise Value (2018 - 2025)
Clps (CLPS) posted Enterprise Value of $1.4 billion for the quarter ended Dec 31, 2025, up 335.3% from $322.45 million a year earlier.
Clps (CLPS) Enterprise Value (2018 - 2025) Analysis & Trends
For the trailing twelve months through Dec 31, 2025, Enterprise Value at Clps was -$3.33 billion; for the year ended Jun 30, 2025, it came in at $1.15 billion.
- In prior years, Clps' Enterprise Value was -$694.24 million in the year ended Jun 30, 2024, $160.54 million in the year ended Jun 30, 2023 (-28.7%), $225.12 million in the year ended Jun 30, 2022 and -$386.9 million in the year ended Jun 30, 2021.
- The figure for the quarter ended Dec 31, 2025 stands as the highest quarterly Enterprise Value since the quarter ended Dec 31, 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn |
| 10 | Clps | 30.64 Mn | -3.32 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.40 Bn |
| Jun 30, 2025 | 1.15 Bn |
| Dec 31, 2024 | 322.45 Mn |
| Jun 30, 2024 | -694.24 Mn |
| Dec 31, 2023 | 1.45 Bn |
| Jun 30, 2023 | 159.49 Mn |
| Dec 31, 2022 | 1.34 Bn |
| Jun 30, 2022 | 220.99 Mn |
| Dec 31, 2021 | -26.81 Bn |
| Jun 30, 2021 | -398.46 Mn |
| Dec 31, 2020 | -24.53 Bn |
| Jun 30, 2020 | -1.66 Bn |
| Dec 31, 2019 | 59.42 Mn |
| Jun 30, 2019 | -1.15 Bn |
| Dec 31, 2018 | -11.43 Bn |
| Jun 30, 2018 | -1.35 Bn |
Clps Enterprise Value 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=enterprise-value&ticker=CLPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=CLPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();