Pc Connection (CNXN) Operating Income (2010 - 2026)
Pc Connection (CNXN) posted Operating Income of $43.01 million for Q2 2026, up 39.2% from $30.9 million a year earlier and up 112.7% from the prior quarter.
Pc Connection (CNXN) Operating Income (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Income at Pc Connection was $117.1 million, up 19.4% year-over-year; for FY2025, it came in at $99.28 million, up 2.3% from FY2024.
- Annual Operating Income shows a five-year compound annual growth rate of 6.6% (FY2020 to FY2025).
- In prior years, Pc Connection's Operating Income was $97.06 million in FY2024 (-5.9%), $103.15 million in FY2023 (-14.4%), $120.55 million in FY2022 (+24.9%) and $96.52 million in FY2021 (+33.9%).
- The Q2 2026 figure stands as the highest quarterly Operating Income in data going back to Q2 2010.
- On a year-over-year basis, Operating Income has increased in each of the last four quarters, with growth averaging 8.3% over the last eight quarters.
- The strongest year-over-year quarter for Operating Income in the past five years was Q1 2022, with growth of 113.4%; the weakest was Q1 2023, with a decline of 39.9%.
- According to Business Quant data, Operating Income for the three prior quarters was $20.23 million (Q1 2026), $23.6 million (Q4 2025) and $30.27 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 1.07 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 874.00 Mn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 519.36 Mn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 428.60 Mn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | - |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 377.33 Mn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 231.04 Mn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 235.97 Mn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 152.22 Mn |
| 10 | Pc Connection | 2.26 Bn | 705.84 Mn | 157.47 Mn | 43.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 43.01 Mn |
| Mar 31, 2026 | 20.23 Mn |
| Dec 31, 2025 | 23.60 Mn |
| Sep 30, 2025 | 30.27 Mn |
| Jun 30, 2025 | 30.90 Mn |
| Mar 31, 2025 | 14.52 Mn |
| Dec 31, 2024 | 22.64 Mn |
| Sep 30, 2024 | 30.04 Mn |
| Jun 30, 2024 | 30.92 Mn |
| Mar 31, 2024 | 13.46 Mn |
| Dec 31, 2023 | 27.94 Mn |
| Sep 30, 2023 | 32.02 Mn |
| Jun 30, 2023 | 25.07 Mn |
| Mar 31, 2023 | 18.12 Mn |
| Dec 31, 2022 | 23.91 Mn |
| Sep 30, 2022 | 31.74 Mn |
| Jun 30, 2022 | 34.77 Mn |
| Mar 31, 2022 | 30.13 Mn |
| Dec 31, 2021 | 31.31 Mn |
| Sep 30, 2021 | 27.33 Mn |
Pc Connection Operating Income 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=operating-income&ticker=CNXN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=CNXN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();