Pc Connection (CNXN) EBITDA (2010 - 2026)
Pc Connection's EBITDA was $45.75 million in Q2 2026, up 35.5% from $33.76 million a year earlier and up 98.7% from the prior quarter.
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Analysis
Pc Connection (CNXN) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Pc Connection's EBITDA was $128.37 million through Jun 30, 2026, up 16.2% year-over-year; for FY2025, it came in at $110.99 million, up 0.9% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 5.3% (FY2020 to FY2025).
- In earlier years, EBITDA was $110.05 million in FY2024 (-5.0%), $115.81 million in FY2023 (-12.6%), $132.53 million in FY2022 (+21.9%) and $108.72 million in FY2021 (+26.9%).
- The Q2 2026 figure marks the highest quarterly EBITDA in data going back to Q3 2010.
- Compared with a year earlier, EBITDA has increased for three straight quarters, with growth averaging 6.2% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was Q1 2022 (growth of 91.6%); the worst was Q1 2023 (a decline of 36.0%).
- Per Business Quant data, CNXN's EBITDA in the three quarters before Q2 2026 was $23.02 million (Q1 2026), $26.45 million (Q4 2025) and $33.15 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 1.21 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 1.02 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 624.64 Mn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 503.70 Mn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 591.24 Mn |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 412.93 Mn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 253.61 Mn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 285.25 Mn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 184.32 Mn |
| 10 | Pc Connection | 2.26 Bn | 705.84 Mn | 157.47 Mn | 45.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.75 Mn |
| Mar 31, 2026 | 23.02 Mn |
| Dec 31, 2025 | 26.45 Mn |
| Sep 30, 2025 | 33.15 Mn |
| Jun 30, 2025 | 33.76 Mn |
| Mar 31, 2025 | 17.62 Mn |
| Dec 31, 2024 | 25.80 Mn |
| Sep 30, 2024 | 33.32 Mn |
| Jun 30, 2024 | 34.19 Mn |
| Mar 31, 2024 | 16.73 Mn |
| Dec 31, 2023 | 31.14 Mn |
| Sep 30, 2023 | 35.31 Mn |
| Jun 30, 2023 | 28.17 Mn |
| Mar 31, 2023 | 21.19 Mn |
| Dec 31, 2022 | 26.89 Mn |
| Sep 30, 2022 | 34.76 Mn |
| Jun 30, 2022 | 37.76 Mn |
| Mar 31, 2022 | 33.13 Mn |
| Dec 31, 2021 | 34.34 Mn |
| Sep 30, 2021 | 30.28 Mn |
API Access
Pc Connection EBITDA 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=ebitda&ticker=CNXN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=CNXN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();