Cdw (CDW) Accumulated Expenses (2010 - 2019)
Cdw's Accumulated Expenses was $940.2 million in Q4 2019, up 58.5% from $593.1 million a year earlier and up 35.9% from the prior quarter.
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Analysis
Cdw (CDW) Accumulated Expenses (2010 - 2019) Analysis & Trends
From Q4 2011 onward, Cdw has reported Accumulated Expenses for 32 quarters.
- Accumulated Expenses has now increased for four consecutive years, with a five-year compound annual growth rate of 7.0% (FY2014 to FY2019).
- In earlier years, Accumulated Expenses was $593.1 million in FY2018 (+13.6%), $522.1 million in FY2017 (+19.7%), $436.3 million in FY2016 (+8.5%) and $402.1 million in FY2015 (-40.0%).
- The Q4 2019 figure marks the highest quarterly Accumulated Expenses in data going back to Q4 2011.
- Compared with a year earlier, Accumulated Expenses has increased for 11 straight quarters, with growth averaging 24.9% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q4 2019 (growth of 58.5%); the worst was Q1 2017 (a decline of 41.5%).
- Per Business Quant data, CDW's Accumulated Expenses in the three quarters before Q4 2019 was $691.8 million (Q3 2019), $712.5 million (Q2 2019) and $751.8 million (Q1 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 53.66 Bn | 40.21 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 33.32 Bn | 26.49 Bn | 1.83 Bn |
| 3 | Wipro | 22.86 Bn | 18.03 Bn | 745.00 Mn |
| 4 | Cdw | 20.63 Bn | 18.61 Bn | 1.32 Bn |
| 5 | Td Synnex | 19.71 Bn | 13.87 Bn | 1.43 Bn |
| 6 | Cgi | 18.28 Bn | 16.08 Bn | - |
| 7 | Arrow Electronics | 10.66 Bn | 9.69 Bn | 1.13 Bn |
| 8 | Avnet | 7.27 Bn | 6.46 Bn | 865.03 Mn |
| 9 | EPAM Systems | 7.15 Bn | 2.79 Bn | 429.57 Mn |
| 10 | ExlService Holdings | 6.51 Bn | 5.26 Bn | 225.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 940.20 Mn |
| Sep 30, 2019 | 691.80 Mn |
| Jun 30, 2019 | 712.50 Mn |
| Mar 31, 2019 | 751.80 Mn |
| Dec 31, 2018 | 593.10 Mn |
| Sep 30, 2018 | 581.80 Mn |
| Jun 30, 2018 | 552.20 Mn |
| Mar 31, 2018 | 566.80 Mn |
| Dec 31, 2017 | 522.10 Mn |
| Sep 30, 2017 | 538.30 Mn |
| Jun 30, 2017 | 489.40 Mn |
| Mar 31, 2017 | 505.10 Mn |
| Dec 31, 2016 | 461.40 Mn |
| Sep 30, 2016 | 470.30 Mn |
| Jun 30, 2016 | 444.20 Mn |
| Mar 31, 2016 | 17.50 Mn |
| Dec 31, 2015 | 427.20 Mn |
| Sep 30, 2015 | 17.50 Mn |
| Jun 30, 2015 | 25.00 Mn |
| Mar 31, 2015 | 17.20 Mn |
API Access
Cdw 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=accumulated-expenses&ticker=CDW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=CDW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();