Quest Diagnostics Incorporated DGX

Revenue Intelligence Report • 70 quarters of SEC filing data • Updated 2026-03-15

Revenue growth is driven by SG&A spending, which the log-log model shows with a positive elasticity of 0.26% in revenue for every 1% increase in SG&A (R&D data not available). Recent quarterly revenue was about $2.806 billion, and holdout testing predicted $2.8B versus actual $2.8B (0.3% error) with a model MAPE of 3.2%, underscoring forecast reliability in the near term. The ROI on SG&A investments appears modest, as a 1% SG&A increase yields only about 0.26% additional revenue, making margin gains from efficiency and targeted spending critical to creating value. The FY revenue forecast is about $11B, a +0.3% YoY change, signaling a stable, low-growth outlook where disciplined SG&A management and efficiency improvements will drive profitability alongside the steady top line.

Investment Thesis

The econometric model achieves strong accuracy (3.2% MAPE), suggesting Quest Diagnostics Incorporated's revenue trajectory is well-characterized by its spending patterns. Sales & marketing spend shows a 0.26x elasticity, suggesting effective go-to-market execution.

Next FY Revenue
$11.1B
+0.3% YoY
SG&A Elasticity
0.26x
Model Accuracy
3.2% MAPE
Holdout validation: The model predicted $2.8B vs the actual $2.8B — an error of 0.3%.
Note: Quest Diagnostics Incorporated does not report R&D expenses separately. This analysis uses SG&A spending only.

Revenue Forecast

DGX Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q4 2025 $2.8B $2.8B $2.5B – $3.1B +6.7% ✓ In range
Q2 2026 $2.8B $2.4B – $3.3B +4.9%
Q3 2026 $2.8B $2.3B – $3.4B +0.3%
Q4 2026 $2.8B $2.2B – $3.5B -1.9%
Q1 2027 $2.8B $2.1B – $3.6B -1.8%

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 (Sep–Nov) 0.9864 -1.4% In line with trend 18
FQ2 (Dec–Feb) 0.9775 -2.2% In line with trend 17
FQ3 (Mar–May) 0.9788 -2.1% In line with trend 17
FQ4 (Jun–Aug) 1.0153 +1.5% In line with trend 17

How Spending Drives Revenue

DGX Spending Timing
Reading this chart: Each line shows the cumulative elasticity — how a 1% increase in spending translates to revenue growth over subsequent quarters. The effect builds over 4-5 quarters as investments compound.

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