Monster Beverage Corp MNST

Revenue Intelligence Report • 36 quarters of SEC filing data • Updated 2026-03-15

Revenue is forecast to grow about 4% year over year, with the lift coming from structural/platform growth and pricing power rather than incremental SG&A spending. The binding constraint on revenue growth is distribution capacity and retailer shelf space to scale nationwide; despite positive demand, our econometric model shows SG&A elasticity trending toward zero and structural growth acting as the engine. Forecast attribution currently assigns roughly 85% of growth to structural/platform effects, about 15% to SG&A, and essentially no contribution from R&D, underscoring leverage from a scalable model rather than spend. Key risk: if distribution capacity or shelf allocations fail to keep pace with demand, the upside could be constrained.

Investment Thesis

The econometric model achieves strong accuracy (3.2% MAPE), suggesting Monster Beverage Corp's revenue trajectory is well-characterized by its spending patterns.

Next FY Revenue
$8.63B
+4.1% YoY
SG&A Elasticity
-0.93x
Model Accuracy
3.2% MAPE
Holdout validation: The model predicted $2.1B vs the actual $2.1B — an error of 2.8%.
⚠ Model limitation: This company shows negative spending multipliers, meaning increases in spending have not directly translated into revenue growth. This typically occurs with commodity-driven companies or hypergrowth companies.
Note: Monster Beverage Corp does not report R&D expenses separately. This analysis uses SG&A spending only.

Revenue Forecast

MNST Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q4 2025 $2.1B $2.1B $1.8B – $2.4B +14.3% ✓ In range
Q2 2026 $2.2B $1.9B – $2.5B +16.1%
Q3 2026 $2.2B $1.9B – $2.5B +1.9%
Q4 2026 $2.2B $1.9B – $2.5B -0.6%
Q1 2027 $2.1B $1.8B – $2.5B +0.8%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Monster Beverage 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 (Sep–Nov) 1.0203 +2.0% In line with trend 8
FQ2 (Dec–Feb) 0.9852 -1.5% In line with trend 8
FQ3 (Mar–May) 1.0183 +1.8% In line with trend 8
FQ4 (Jun–Aug) 0.9995 -0.0% In line with trend 8

How Spending Drives Revenue

MNST 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.

Spending Efficiency Over Time

Time-varying analysis: A penalized spline model (GAM) tracks how the link between spending and revenue has evolved over 36 quarters. A falling elasticity means the company needs less incremental spending to sustain growth — a hallmark of operating leverage from platform scale, pricing power, or recurring-revenue streams. A rising elasticity means each percent of additional spending more readily drives revenue than before.
Current SG&A elasticity: -0.094x
Enhanced forecast: The time-varying model (GAM) outperformed the fixed-coefficient ARDL on holdout validation (-2.8% error vs ARDL, R² = 0.970), so this report uses the GAM for its quarterly forecasts.

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