Pc Connection (CNXN) Restructuring Costs (2017 - 2026)
Pc Connection's Restructuring Costs came in at $3.06 million for Q1 2026, up 4.4% from $2.93 million a year earlier but down 0.7% from the prior quarter.
Analysis
Pc Connection (CNXN) Restructuring Costs (2017 - 2026) Analysis & Trends
For FY2025, Pc Connection's Restructuring Costs was $6.01 million.
- Restructuring Costs carries a five-year compound annual growth rate of 43.2% (FY2020 to FY2025).
- Going back by year, Restructuring Costs was $415,000 in FY2024 (-84.6%) and $2.69 million in FY2023.
- The five-year range for quarterly Restructuring Costs is $44,000 (Q3 2023) to $3.08 million (Q4 2025).
Peer Set
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 | Pc Connection | 2.26 Bn | 705.84 Mn | 157.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 3.06 Mn |
| Dec 31, 2025 | 3.08 Mn |
| Mar 31, 2025 | 2.93 Mn |
| Jun 30, 2024 | 415,000.00 |
| Sep 30, 2023 | 44,000.00 |
| Jun 30, 2023 | 1.75 Mn |
| Mar 31, 2023 | 897,000.00 |
| Dec 31, 2020 | 8,000.00 |
| Jun 30, 2020 | 992,000.00 |
| Mar 31, 2019 | 703,000.00 |
| Dec 31, 2017 | 2.70 Mn |
| Jun 30, 2017 | 941,000.00 |
API Access
Pc Connection Restructuring Costs 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=restructuring-costs&ticker=CNXN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=CNXN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();