Pc Connection (CNXN) Shares Outstanding (2010 - 2026)
Pc Connection (CNXN) posted Shares Outstanding of 25.23 million for Q2 2026, down 0.7% from 25.41 million a year earlier but up 0.1% from the prior quarter.
Pc Connection (CNXN) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, Pc Connection's Shares Outstanding came in at 25.51 million, down 3.1% from FY2024.
- Annual Shares Outstanding shows a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- In prior years, Pc Connection's Shares Outstanding was 26.32 million in FY2024 (+0.1%), 26.29 million in FY2023 (unchanged), 26.28 million in FY2022 (+0.3%) and 26.2 million in FY2021 (+0.1%).
- Quarterly Shares Outstanding has run from a low of 25.2 million in Q1 2026 to a high of 26.36 million in Q1 2024 over five years.
- On a year-over-year basis, Shares Outstanding has declined in each of the last six quarters, with an average decline of 1.9% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding in the past five years was Q2 2024, with growth of 0.4%; the weakest was Q2 2025, with a decline of 3.6%.
- According to Business Quant data, Shares Outstanding for the three prior quarters was 25.2 million (Q1 2026), 25.51 million (Q4 2025) and 25.35 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 4.11 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 466.00 Mn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 79.56 Mn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 127.00 Mn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 222.69 Mn |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 51.31 Mn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 82.16 Mn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 231.45 Mn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 52.20 Mn |
| 10 | Pc Connection | 2.26 Bn | 705.84 Mn | 157.47 Mn | 25.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.23 Mn |
| Mar 31, 2026 | 25.20 Mn |
| Dec 31, 2025 | 25.51 Mn |
| Sep 30, 2025 | 25.35 Mn |
| Jun 30, 2025 | 25.41 Mn |
| Mar 31, 2025 | 26.08 Mn |
| Dec 31, 2024 | 26.32 Mn |
| Sep 30, 2024 | 26.29 Mn |
| Jun 30, 2024 | 26.35 Mn |
| Mar 31, 2024 | 26.36 Mn |
| Dec 31, 2023 | 26.29 Mn |
| Sep 30, 2023 | 26.26 Mn |
| Jun 30, 2023 | 26.26 Mn |
| Mar 31, 2023 | 26.33 Mn |
| Dec 31, 2022 | 26.28 Mn |
| Sep 30, 2022 | 26.28 Mn |
| Jun 30, 2022 | 26.27 Mn |
| Mar 31, 2022 | 26.26 Mn |
| Dec 31, 2021 | 26.20 Mn |
| Sep 30, 2021 | 26.20 Mn |
Pc Connection Shares Outstanding 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=shares-outstanding&ticker=CNXN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=CNXN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();