Cdw (CDW) Other Accumulated Expenses (2010 - 2026)
Cdw (CDW) posted Other Accumulated Expenses of $526.8 million for Q2 2026, up 1.5% from $519.2 million a year earlier and up 0.4% from the prior quarter.
Cdw (CDW) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Cdw's Other Accumulated Expenses came in at $534.1 million, down 0.4% from FY2024.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of 4.7% (FY2020 to FY2025).
- In prior years, Cdw's Other Accumulated Expenses was $536 million in FY2024 (-3.3%), $554.3 million in FY2023 (+14.7%), $483.2 million in FY2022 (+6.2%) and $454.8 million in FY2021 (+7.1%).
- Quarterly Other Accumulated Expenses has run from a low of $386.8 million in Q3 2021 to a high of $565 million in Q3 2023 over five years.
- On a year-over-year basis, Other Accumulated Expenses increased in two of the last eight quarters, with an average decline of 2.2%.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q2 2022, with growth of 42.5%; the weakest was Q3 2021, with a decline of 21.3%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $524.7 million (Q1 2026), $534.1 million (Q4 2025) and $506.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 52.03 Bn | 38.53 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 31.75 Bn | 24.91 Bn | 1.83 Bn |
| 3 | Wipro | 21.48 Bn | 16.18 Bn | 738.00 Mn |
| 4 | Cdw | 19.70 Bn | 17.69 Bn | 1.32 Bn |
| 5 | Td Synnex | 19.65 Bn | 13.81 Bn | 1.43 Bn |
| 6 | Cgi | 17.59 Bn | 15.39 Bn | - |
| 7 | Arrow Electronics | 11.05 Bn | 10.00 Bn | 1.13 Bn |
| 8 | Avnet | 7.49 Bn | 6.67 Bn | 865.03 Mn |
| 9 | EPAM Systems | 6.82 Bn | 2.46 Bn | 429.57 Mn |
| 10 | Ingram Micro Holding | 6.25 Bn | 1.85 Bn | 958.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 526.80 Mn |
| Mar 31, 2026 | 524.70 Mn |
| Dec 31, 2025 | 534.10 Mn |
| Sep 30, 2025 | 506.20 Mn |
| Jun 30, 2025 | 519.20 Mn |
| Mar 31, 2025 | 551.90 Mn |
| Dec 31, 2024 | 536.00 Mn |
| Sep 30, 2024 | 563.40 Mn |
| Jun 30, 2024 | 508.40 Mn |
| Mar 31, 2024 | 564.10 Mn |
| Dec 31, 2023 | 554.30 Mn |
| Sep 30, 2023 | 565.00 Mn |
| Jun 30, 2023 | 522.30 Mn |
| Mar 31, 2023 | 516.20 Mn |
| Dec 31, 2022 | 483.20 Mn |
| Sep 30, 2022 | 546.60 Mn |
| Jun 30, 2022 | 487.20 Mn |
| Mar 31, 2022 | 507.00 Mn |
| Dec 31, 2021 | 454.80 Mn |
| Sep 30, 2021 | 386.80 Mn |
Cdw Other Accumulated Expenses 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=other-accumulated-expenses&ticker=CDW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=CDW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();