Pc Connection (CNXN) Payables (2010 - 2026)
Pc Connection (CNXN) posted Payables of $377.56 million for Q2 2026, up 24.3% from $303.76 million a year earlier but down 4.8% from the prior quarter.
Pc Connection (CNXN) Payables (2010 - 2026) Analysis & Trends
At the end of FY2025, Pc Connection's Payables came in at $338.2 million, up 12.6% from FY2024.
- Annual Payables has increased for three consecutive years, with a five-year compound annual growth rate of 4.2% (FY2020 to FY2025).
- In prior years, Pc Connection's Payables was $300.24 million in FY2024 (+13.9%), $263.68 million in FY2023 (+13.3%), $232.64 million in FY2022 (-17.5%) and $281.84 million in FY2021 (+2.4%).
- Quarterly Payables has run from a low of $217.08 million in Q3 2021 to a high of $396.48 million in Q1 2026 over five years.
- On a year-over-year basis, Payables has increased in each of the last four quarters, with growth averaging 16.8% over the last eight quarters.
- The strongest year-over-year quarter for Payables in the past five years was Q1 2026, with growth of 45.0%; the weakest was Q3 2021, with a decline of 23.3%.
- According to Business Quant data, Payables for the three prior quarters was $396.48 million (Q1 2026), $338.2 million (Q4 2025) and $312.81 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 463.39 Mn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 390.00 Mn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 21.18 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 5.12 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 809.53 Mn |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 27.11 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 6.05 Bn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 11.80 Bn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 41.55 Mn |
| 10 | Pc Connection | 2.26 Bn | 705.84 Mn | 157.47 Mn | 377.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 377.56 Mn |
| Mar 31, 2026 | 396.48 Mn |
| Dec 31, 2025 | 338.20 Mn |
| Sep 30, 2025 | 312.81 Mn |
| Jun 30, 2025 | 303.76 Mn |
| Mar 31, 2025 | 273.52 Mn |
| Dec 31, 2024 | 300.24 Mn |
| Sep 30, 2024 | 293.16 Mn |
| Jun 30, 2024 | 317.11 Mn |
| Mar 31, 2024 | 218.80 Mn |
| Dec 31, 2023 | 263.68 Mn |
| Sep 30, 2023 | 264.50 Mn |
| Jun 30, 2023 | 277.24 Mn |
| Mar 31, 2023 | 239.06 Mn |
| Dec 31, 2022 | 232.64 Mn |
| Sep 30, 2022 | 258.60 Mn |
| Jun 30, 2022 | 278.45 Mn |
| Mar 31, 2022 | 271.41 Mn |
| Dec 31, 2021 | 281.84 Mn |
| Sep 30, 2021 | 217.08 Mn |
Pc Connection Payables 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=payables&ticker=CNXN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=CNXN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();