Pc Connection (CNXN) Receivables (2010 - 2026)
Pc Connection (CNXN) posted Receivables of $726.82 million for Q2 2026, up 14.1% from $637.04 million a year earlier and up 9.9% from the prior quarter.
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Analysis
Pc Connection (CNXN) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Pc Connection's Receivables came in at $712.27 million, up 6.0% from FY2024.
- Annual Receivables shows a five-year compound annual growth rate of 1.0% (FY2020 to FY2025).
- In prior years, Pc Connection's Receivables was $672.05 million in FY2024 (+1.2%), $663.94 million in FY2023 (-0.6%), $667.67 million in FY2022 (+1.9%) and $655.04 million in FY2021 (-3.3%).
- The Q2 2026 figure stands as the highest quarterly Receivables in data going back to Q4 2010.
- On a year-over-year basis, Receivables has increased in each of the last seven quarters, with growth averaging 7.1% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was Q1 2025, with growth of 14.6%; the weakest was Q1 2024, with a decline of 15.2%.
- According to Business Quant data, Receivables for the three prior quarters was $661.48 million (Q1 2026), $712.27 million (Q4 2025) and $616.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 5.33 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 4.78 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 13.00 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 10.28 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 1.14 Bn |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 28.01 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 6.88 Bn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 10.68 Bn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 1.27 Bn |
| 10 | Pc Connection | 2.26 Bn | 705.84 Mn | 157.47 Mn | 726.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 726.82 Mn |
| Mar 31, 2026 | 661.48 Mn |
| Dec 31, 2025 | 712.27 Mn |
| Sep 30, 2025 | 616.70 Mn |
| Jun 30, 2025 | 637.04 Mn |
| Mar 31, 2025 | 603.98 Mn |
| Dec 31, 2024 | 672.05 Mn |
| Sep 30, 2024 | 585.08 Mn |
| Jun 30, 2024 | 598.83 Mn |
| Mar 31, 2024 | 527.26 Mn |
| Dec 31, 2023 | 663.94 Mn |
| Sep 30, 2023 | 587.60 Mn |
| Jun 30, 2023 | 592.66 Mn |
| Mar 31, 2023 | 621.84 Mn |
| Dec 31, 2022 | 667.67 Mn |
| Sep 30, 2022 | 646.66 Mn |
| Jun 30, 2022 | 643.95 Mn |
| Mar 31, 2022 | 634.14 Mn |
| Dec 31, 2021 | 655.04 Mn |
| Sep 30, 2021 | 585.38 Mn |
API Access
Pc Connection Receivables 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=receivables&ticker=CNXN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=CNXN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();