What is BRO's forecasted revenue?

Brown & Brown, Inc. is forecasted to generate $5.15B in FY revenue, representing +10.9% year-over-year growth.

How accurate is the BRO revenue forecast model?

The ARDL model achieves 2.5% MAPE (Mean Absolute Percentage Error). In a holdout test, it predicted $1.2B versus the actual $1.2B.

Brown & Brown, Inc. BRO

Revenue Intelligence Report • 61 quarters of SEC filing data • Updated 2026-03-15

Revenue is forecast to grow about 11% year over year to roughly $5.8 billion, with momentum underpinned by structural/platform growth and higher SG&A investment. Our econometric model indicates the binding constraint on growth is the capacity to deploy SG&A spending—specifically recruiting and onboarding more agents/brokers to expand the network—as SG&A elasticity remains high and rising (roughly 0.81x now and moving toward 0.91x). Forecast attribution shows structural/platform growth contributing about 8% and SG&A driving about 92% of the incremental revenue, with R&D essentially flat. Key risk: a slowdown in expanding the agent network or constraints on onboarding capacity could cap upside even as economics remain favorable.

Investment Thesis

Our ARDL model tracks Brown & Brown, Inc.'s revenue with exceptional precision (2.5% MAPE), indicating highly predictable cash flows. Sales & marketing spend shows a 0.81x elasticity, suggesting effective go-to-market execution.

Next FY Revenue

$5.15B

+10.9% YoY

SG&A Elasticity

0.81x

Model Accuracy

2.5% MAPE

Holdout validation: The model predicted $1.2B vs the actual $1.2B — an error of 1.3%.

Note: Brown & Brown, Inc. does not report R&D expenses separately. This analysis uses SG&A spending only.

Revenue Forecast

Quarterly Detail

Quarter	Model Forecast	Actual	95% Range	YoY Growth	Status
Q3 2024	$1.2B	$1.2B	$1.1B – $1.3B	+12.5%	✓ In range
Q4 2024	$1.1B		$1.0B – $1.2B	+10.6%
Q2 2025	$1.4B		$1.2B – $1.5B	+7.4%
Q3 2025	$1.3B		$1.2B – $1.5B	+13.3%
Q4 2025	$1.3B		$1.2B – $1.5B	+12.3%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Brown & Brown, Inc.'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 Quarter	Seasonal Factor	vs Trend	Interpretation	Obs.
FQ1 (Sep–Nov)	0.9951	-0.5%	In line with trend	15
FQ2 (Dec–Feb)	0.9956	-0.4%	In line with trend	14
FQ3 (Mar–May)	1.0084	+0.8%	In line with trend	14
FQ4 (Jun–Aug)	0.997	-0.3%	In line with trend	14

How Spending Drives Revenue

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 61 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: 0.9077x

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