Cdw Corp CDW

Revenue Intelligence Report • 65 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-06-30

Cdw Corp's latest quarterly revenue is $6.6B for the period ending 2026-06-30. The model projects $23.2B across the next four quarters (-1.4% versus the preceding four quarters). The forecast uses SG&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 8.5%. These are statistical associations, not estimates of the causal effect of spending.

Investment Thesis

The ARDL forecast is based on reported revenue and SG&A data through 2026-06-30. Training MAPE measures fit to historical data; the separately reported holdout error measures a withheld quarter. Spending coefficients describe associations and do not establish causation.

Next 4 Quarters
$23.2B
-1.4% YoY
SG&A Elasticity
-0.13x
Training Fit
3.8% MAPE
Retrospective holdout (Q2 FY2026): The model predicted $6.01B vs the actual $6.57B — an error of 8.5%.
Retrospective one-quarter holdout: model fitting and selection exclude this quarter. Historical inputs use the latest available restatements, so this is not a preserved real-time forecast.
⚠ Model limitation: One or more estimated spending associations are negative. These observational coefficients do not establish a causal return on spending.
Note: Cdw Corp does not report R&D expenses separately. The model uses the available expense measure without a separate R&D term.

Revenue Forecast

CDW Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q2 FY2026
Period end 2026-06-30		 $6.01B $6.57B $5.49B–$6.58B +0.6% ✓ In range
Q3 FY2026
Period end 2026-09-30		 $5.85B $5.14B–$6.65B +1.9%
Q4 FY2026
Period end 2026-12-31		 $5.65B $4.83B–$6.61B +2.5%
Q1 FY2027
Period end 2027-03-31		 $5.70B $4.75B–$6.83B +0.3%
Q2 FY2027
Period end 2027-06-30		 $5.99B $4.89B–$7.33B -8.9%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Cdw Corp's systematic quarterly revenue patterns relative to the trend model. A factor of 1.05 means that quarter typically runs 5% above the underlying trend; 0.95 means 5% below. Factors are computed as the median of (actual / fitted) across all available quarters.
Fiscal QuarterSeasonal Factorvs TrendInterpretationObs.
FQ1 (Jan–Mar) 0.9859 -1.4% In line with trend 15
FQ2 (Apr–Jun) 1.0389 +3.9% +3.9% above trend 15
FQ3 (Jul–Sep) 0.9907 -0.9% In line with trend 15
FQ4 (Oct–Dec) 1.0045 +0.4% In line with trend 15

Spending and Revenue

CDW Spending Timing
Reading this chart: Each line shows the cumulative revenue association with a 1% change in spending over subsequent quarters. These estimates describe historical associations and do not establish causation.

Time-Varying Spending Associations

Time-varying analysis: A penalized spline model (GAM) tracks the association between log spending and log revenue over 65 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current SG&A elasticity: 0.2427x
The model-term chart shows relative absolute term magnitudes. Its percentages are not shares of revenue or causal contributions to growth.

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Data sourced from SEC EDGAR XBRL filings. SEC source data. Forecast model: ARDL; spending associations: ARDL (log-log) with 65 quarters. This analysis is for informational purposes only and does not constitute investment advice.

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