Pc Connection (CNXN) Change in Receivables (2010 - 2026)
Pc Connection (CNXN) posted Change in Receivables of $66.9 million for Q2 2026, up 98.4% from $33.72 million a year earlier and up 388.3% from the prior quarter.
Pc Connection (CNXN) Change in Receivables (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Receivables at Pc Connection was $92.39 million, up 126.6% year-over-year; for FY2025, it was $38.45 million, up 490.3% from FY2024.
- Annual Change in Receivables shows a five-year compound annual growth rate of -9.6% (FY2020 to FY2025).
- In prior years, Pc Connection's Change in Receivables was $6.51 million in FY2024, -$1.6 million in FY2023, $6 million in FY2022 (+355.2%) and $1.32 million in FY2021 (-97.9%).
- The Q2 2026 figure stands as the highest quarterly Change in Receivables since Q2 2024.
- On a year-over-year basis, Change in Receivables increased in three of the last four quarters, with growth averaging 26.1%.
- The strongest year-over-year quarter for Change in Receivables in the past five years was Q2 2026, with growth of 98.4%; the weakest was Q3 2021, with a decline of 96.9%.
- According to Business Quant data, Change in Receivables for the three prior quarters was $13.7 million (Q1 2026), $31.94 million (Q4 2025) and -$20.16 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 131.00 Mn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | 1.15 Bn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | 883.90 Mn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | - |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | 2.06 Bn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 1.40 Bn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | -162.00 Mn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | - |
| 10 | Pc Connection | 2.28 Bn | 719.22 Mn | 157.47 Mn | 66.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 66.90 Mn |
| Mar 31, 2026 | 13.70 Mn |
| Dec 31, 2025 | 31.94 Mn |
| Sep 30, 2025 | -20.16 Mn |
| Jun 30, 2025 | 33.72 Mn |
| Mar 31, 2025 | -7.05 Mn |
| Dec 31, 2024 | 27.44 Mn |
| Sep 30, 2024 | -13.33 Mn |
| Jun 30, 2024 | 71.71 Mn |
| Mar 31, 2024 | -79.31 Mn |
| Dec 31, 2023 | 19.27 Mn |
| Sep 30, 2023 | -4.50 Mn |
| Jun 30, 2023 | -27.84 Mn |
| Mar 31, 2023 | 11.47 Mn |
| Dec 31, 2022 | -35.78 Mn |
| Sep 30, 2022 | 3.72 Mn |
| Jun 30, 2022 | 10.89 Mn |
| Mar 31, 2022 | 27.18 Mn |
| Dec 31, 2021 | 23.76 Mn |
| Sep 30, 2021 | 4.37 Mn |
Pc Connection Change in 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=change-in-receivables&ticker=CNXN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-receivables&ticker=CNXN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();