Pc Connection (CNXN) Total Non-Current Liabilities (2010 - 2025)
Pc Connection (CNXN) posted Total Non-Current Liabilities of $383.94 million for Q2 2025, up 3.8% from the prior quarter.
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Analysis
Pc Connection (CNXN) Total Non-Current Liabilities (2010 - 2025) Analysis & Trends
At the end of FY2024, Pc Connection's Total Non-Current Liabilities came in at $387.85 million, up 11.8% from FY2023.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 2.7% (FY2019 to FY2024).
- In prior years, Pc Connection's Total Non-Current Liabilities was $346.99 million in FY2023 (+4.1%), $333.48 million in FY2022 (-16.8%), $400.7 million in FY2021 (+8.2%) and $370.42 million in FY2020 (+9.1%).
- Quarterly Total Non-Current Liabilities has run from a low of $302.26 million in Q1 2021 to a high of $400.7 million in Q4 2021 over five years.
- On a year-over-year basis, Total Non-Current Liabilities increased in four of the last six quarters, with growth averaging 4.9%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q1 2022, with growth of 30.7%; the weakest was Q4 2022, with a decline of 16.8%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $370.01 million (Q1 2025), $387.85 million (Q4 2024) and $387.87 million (Q3 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 1.10 Bn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 5.59 Bn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | 29.07 Bn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | 6.52 Bn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | 8.68 Mn |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | 30.80 Bn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 10.19 Bn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | 17.06 Bn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | 991.88 Mn |
| 10 | Pc Connection | 2.28 Bn | 719.22 Mn | 157.47 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 383.94 Mn |
| Mar 31, 2025 | 370.01 Mn |
| Dec 31, 2024 | 387.85 Mn |
| Sep 30, 2024 | 387.87 Mn |
| Mar 31, 2024 | 308.37 Mn |
| Dec 31, 2023 | 346.99 Mn |
| Sep 30, 2023 | 361.61 Mn |
| Jun 30, 2023 | 369.47 Mn |
| Mar 31, 2023 | 340.90 Mn |
| Dec 31, 2022 | 333.48 Mn |
| Sep 30, 2022 | 377.82 Mn |
| Jun 30, 2022 | 391.40 Mn |
| Mar 31, 2022 | 395.16 Mn |
| Dec 31, 2021 | 400.70 Mn |
| Sep 30, 2021 | 319.23 Mn |
| Jun 30, 2021 | 357.14 Mn |
| Mar 31, 2021 | 302.26 Mn |
| Dec 31, 2020 | 370.42 Mn |
| Sep 30, 2020 | 369.11 Mn |
| Jun 30, 2020 | 339.94 Mn |
API Access
Pc Connection Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=CNXN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=CNXN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();