Pc Connection (CNXN) Property, Plant & Equipment (Net) (2010 - 2026)
Pc Connection (CNXN) recorded Property, Plant & Equipment (Net) of $45.76 million in Q2 2026, down 5.2% from $48.27 million a year earlier and down 1.7% from the prior quarter.
Pc Connection (CNXN) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Pc Connection reported Property, Plant & Equipment (Net) of $46.91 million, down 10.7% from FY2024.
- Annual Property, Plant & Equipment (Net) has declined for six straight years, with a five-year compound annual growth rate of -5.3% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $52.52 million in FY2024 (-7.3%), $56.66 million in FY2023 (-4.2%), $59.17 million in FY2022 (-3.0%) and $61.01 million in FY2021 (-0.9%).
- The Q2 2026 figure is the lowest quarterly Property, Plant & Equipment (Net) since Q1 2018.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined for 23 consecutive quarters, with an average decline of 8.6% over the last eight quarters.
- The year-over-year decline in Property, Plant & Equipment (Net) has ranged between 0.9% (Q4 2021) and 11.2% (Q2 2025) over the last five years.
- Per Business Quant, the preceding three quarters came in at $46.55 million (Q1 2026), $46.91 million (Q4 2025) and $48.06 million (Q3 2025).
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 | Pc Connection | 2.33 Bn | 773.48 Mn | 157.47 Mn | 45.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.76 Mn |
| Mar 31, 2026 | 46.55 Mn |
| Dec 31, 2025 | 46.91 Mn |
| Sep 30, 2025 | 48.06 Mn |
| Jun 30, 2025 | 48.27 Mn |
| Mar 31, 2025 | 51.66 Mn |
| Dec 31, 2024 | 52.52 Mn |
| Sep 30, 2024 | 53.26 Mn |
| Jun 30, 2024 | 54.38 Mn |
| Mar 31, 2024 | 55.53 Mn |
| Dec 31, 2023 | 56.66 Mn |
| Sep 30, 2023 | 57.64 Mn |
| Jun 30, 2023 | 58.01 Mn |
| Mar 31, 2023 | 58.37 Mn |
| Dec 31, 2022 | 59.17 Mn |
| Sep 30, 2022 | 59.91 Mn |
| Jun 30, 2022 | 60.25 Mn |
| Mar 31, 2022 | 60.84 Mn |
| Dec 31, 2021 | 61.01 Mn |
| Sep 30, 2021 | 60.62 Mn |
Pc Connection 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=CNXN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "CNXN", "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=CNXN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();