Cdw (CDW) Total Non-Current Liabilities (2010 - 2026)
Cdw (CDW) posted Total Non-Current Liabilities of $6.52 billion for Q2 2026, down 6.8% from $6.99 billion a year earlier but up 5.1% from the prior quarter.
Cdw (CDW) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Cdw's Total Non-Current Liabilities came in at $6.2 billion, down 9.6% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 8.3% (FY2020 to FY2025).
- In prior years, Cdw's Total Non-Current Liabilities was $6.85 billion in FY2024 (+18.1%), $5.8 billion in FY2023 (-11.9%), $6.58 billion in FY2022 (-11.0%) and $7.4 billion in FY2021 (+78.3%).
- Quarterly Total Non-Current Liabilities has run from a low of $4.34 billion in Q3 2021 to a high of $7.4 billion in Q4 2021 over five years.
- On a year-over-year basis, Total Non-Current Liabilities has declined in each of the last three quarters, with growth averaging 7.0% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q4 2021, with growth of 78.3%; the weakest was Q2 2024, with a decline of 17.6%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $6.2 billion (Q1 2026), $6.2 billion (Q4 2025) and $7.06 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.03 Bn | 38.53 Bn | 1.60 Bn | 1.10 Bn |
| 2 | Cognizant Technology Solutions | 31.75 Bn | 24.91 Bn | 1.83 Bn | 5.59 Bn |
| 3 | Wipro | 21.48 Bn | 16.18 Bn | 738.00 Mn | 1.39 Bn |
| 4 | Cdw | 19.70 Bn | 17.69 Bn | 1.32 Bn | 6.52 Bn |
| 5 | Td Synnex | 19.65 Bn | 13.81 Bn | 1.43 Bn | 32.02 Bn |
| 6 | Cgi | 17.59 Bn | 15.39 Bn | - | 8.45 Mn |
| 7 | Arrow Electronics | 11.05 Bn | 10.00 Bn | 1.13 Bn | 30.80 Bn |
| 8 | Avnet | 7.49 Bn | 6.67 Bn | 865.03 Mn | 10.19 Bn |
| 9 | EPAM Systems | 6.82 Bn | 2.46 Bn | 429.57 Mn | 991.88 Mn |
| 10 | Ingram Micro Holding | 6.25 Bn | 1.85 Bn | 958.68 Mn | 17.06 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.52 Bn |
| Mar 31, 2026 | 6.20 Bn |
| Dec 31, 2025 | 6.20 Bn |
| Sep 30, 2025 | 7.06 Bn |
| Jun 30, 2025 | 6.99 Bn |
| Mar 31, 2025 | 6.91 Bn |
| Dec 31, 2024 | 6.85 Bn |
| Sep 30, 2024 | 6.57 Bn |
| Jun 30, 2024 | 5.26 Bn |
| Mar 31, 2024 | 5.79 Bn |
| Dec 31, 2023 | 5.80 Bn |
| Sep 30, 2023 | 6.28 Bn |
| Jun 30, 2023 | 6.38 Bn |
| Mar 31, 2023 | 6.42 Bn |
| Dec 31, 2022 | 6.58 Bn |
| Sep 30, 2022 | 6.79 Bn |
| Jun 30, 2022 | 7.13 Bn |
| Mar 31, 2022 | 7.16 Bn |
| Dec 31, 2021 | 7.40 Bn |
| Sep 30, 2021 | 4.34 Bn |
Cdw 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=CDW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "CDW", "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=CDW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();