Quest Diagnostics Incorporated DGX

Revenue Intelligence Report • 73 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-06-30

Quest Diagnostics Incorporated's latest quarterly revenue is $3.0B for the period ending 2026-06-30. The model projects $11.5B across the next four quarters (-0.2% versus the preceding four quarters). The forecast uses SG&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 4.7%. 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
$11.5B
-0.2% YoY
SG&A Elasticity
0.29x
Training Fit
3.2% MAPE
Retrospective holdout (Q2 FY2026): The model predicted $2.90B vs the actual $3.04B — an error of 4.7%.
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.
Note: Quest Diagnostics Incorporated does not report R&D expenses separately. The model uses the available expense measure without a separate R&D term.

Revenue Forecast

DGX Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q2 FY2026
Period end 2026-06-30		 $2.90B $3.04B $2.59B–$3.25B +5.1% ✓ In range
Q3 FY2026
Period end 2026-09-30		 $2.90B $2.46B–$3.41B +2.9%
Q4 FY2026
Period end 2026-12-31		 $2.88B $2.37B–$3.52B +2.8%
Q1 FY2027
Period end 2027-03-31		 $2.87B $2.28B–$3.61B -0.9%
Q2 FY2027
Period end 2027-06-30		 $2.88B $2.23B–$3.72B -5.2%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Quest Diagnostics Incorporated'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) 0.9924 -0.8% In line with trend 18
FQ2 (Apr–Jun) 1.0161 +1.6% In line with trend 17
FQ3 (Jul–Sep) 0.9901 -1.0% In line with trend 18
FQ4 (Oct–Dec) 0.9774 -2.3% In line with trend 18

Spending and Revenue

DGX 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 73 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current SG&A elasticity: 0.4421x
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 73 quarters. This analysis is for informational purposes only and does not constitute investment advice.

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