Clps (CLPS) Property, Plant & Equipment (Net) (2017 - 2025)
Clps (CLPS) posted Property, Plant & Equipment (Net) of $20.54 million for the quarter ended Dec 31, 2025, down 2.0% from $20.97 million a year earlier.
Clps (CLPS) Property, Plant & Equipment (Net) (2017 - 2025) Analysis & Trends
As of Jun 30, 2025, Clps' Property, Plant & Equipment (Net) came in at $21.21 million, up 0.2% from the prior year.
- Annual Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of -19.9% (years ended Jun 2020 to Jun 2025).
- In prior years, Clps' Property, Plant & Equipment (Net) was $21.17 million in the year ended Jun 30, 2024 (+631.2%), $2.89 million in the year ended Jun 30, 2023 (-9.3%), $3.19 million in the year ended Jun 30, 2022 (-96.5%) and $90.76 million in the year ended Jun 30, 2021 (+41.0%).
- The figure for the quarter ended Dec 31, 2025 stands as the lowest quarterly Property, Plant & Equipment (Net) since the quarter ended Jun 30, 2023.
- On a year-over-year basis, Property, Plant & Equipment (Net) increased in two of the last four quarters, with growth averaging 158.3%.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was the quarter ended Jun 30, 2024, with growth of 637.2%; the weakest was the quarter ended Dec 31, 2022, with a decline of 99.9%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.69 Bn | 44.75 Bn | 1.60 Bn | 1.42 Bn |
| 2 | Cognizant Technology Solutions | 26.45 Bn | 19.61 Bn | 1.83 Bn | 981.00 Mn |
| 3 | Td Synnex | 22.21 Bn | 16.36 Bn | 1.43 Bn | 565.11 Mn |
| 4 | Cdw | 16.70 Bn | 14.69 Bn | 1.32 Bn | 166.00 Mn |
| 5 | Cgi | 15.63 Bn | 13.41 Bn | - | 260.87 Mn |
| 6 | Arrow Electronics | 12.33 Bn | 11.35 Bn | 1.13 Bn | 460.82 Mn |
| 7 | Avnet | 8.78 Bn | 7.96 Bn | 865.03 Mn | 644.60 Mn |
| 8 | Ingram Micro Holding | 6.70 Bn | 2.31 Bn | 958.68 Mn | 527.97 Mn |
| 9 | EPAM Systems | 5.58 Bn | 1.22 Bn | 429.57 Mn | 204.97 Mn |
| 10 | Clps | 30.64 Mn | -3.32 Bn | - | 20.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 20.54 Mn |
| Jun 30, 2025 | 21.21 Mn |
| Dec 31, 2024 | 20.97 Mn |
| Jun 30, 2024 | 21.17 Mn |
| Dec 31, 2023 | 21.40 Mn |
| Jun 30, 2023 | 2.87 Mn |
| Dec 31, 2022 | 20.43 Mn |
| Jun 30, 2022 | 3.12 Mn |
| Dec 31, 2021 | 20.89 Bn |
| Jun 30, 2021 | 92.98 Mn |
| Dec 31, 2020 | 585.08 Mn |
| Jun 30, 2020 | 63.86 Mn |
| Dec 31, 2019 | 471.89 Mn |
| Jun 30, 2019 | 83.13 Mn |
| Dec 31, 2018 | 453.70 Mn |
| Jun 30, 2018 | 52.41 Mn |
| Mar 31, 2018 | 371.52 Mn |
| Jun 30, 2017 | 273.35 Mn |
Clps Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=CLPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=CLPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();