What is LPLA's forecasted revenue?

Lpl Financial Holdings Inc. is forecasted to generate $24.5B in FY revenue, representing +44.3% year-over-year growth.

How accurate is the LPLA revenue forecast model?

The ARDL model achieves 2.2% MAPE (Mean Absolute Percentage Error). In a holdout test, it predicted $5.2B versus the actual $4.9B.

Lpl Financial Holdings Inc. LPLA

Revenue Intelligence Report • 62 quarters of SEC filing data • Updated 2026-03-15

We expect LPL Financial’s revenue to grow about 44% year over year to roughly $35.4 billion, as the business benefits from structural platform growth and pricing power. The binding constraint on growth is the company’s capacity to recruit and onboard additional financial advisers and scale the platform to support a larger network. Our econometric model shows roughly 62% of the revenue growth is structural/platform-driven, with the remainder tied to SG&A investments. The time-varying data imply operating leverage is improving, so growth hinges on platform scale rather than incremental spending. Key risk: a slower pace of adviser recruitment or higher churn could cap asset growth and recurring revenue despite a large total addressable market.

Investment Thesis

Our ARDL model tracks Lpl Financial Holdings Inc.'s revenue with exceptional precision (2.2% MAPE), indicating highly predictable cash flows. Sales & marketing spend shows a 1.14x elasticity, suggesting effective go-to-market execution.

Next FY Revenue

$24.5B

+44.3% YoY

SG&A Elasticity

1.14x

Model Accuracy

2.2% MAPE

Holdout validation: The model predicted $5.2B vs the actual $4.9B — an error of 5.3%.

Note: Lpl Financial Holdings 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
Q4 2025	$5.2B	$4.9B	$4.9B – $5.5B	+47.9%	✓ In range
Q2 2026	$5.3B		$4.9B – $5.7B	+43.9%
Q3 2026	$5.4B		$4.9B – $5.9B	+40.9%
Q4 2026	$6.6B		$5.9B – $7.4B	+45.7%
Q1 2027	$7.2B		$6.4B – $8.1B	+46.0%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Lpl Financial Holdings 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)	0.9991	-0.1%	In line with trend	15
FQ2 (Dec–Feb)	1.0065	+0.7%	In line with trend	15
FQ3 (Mar–May)	0.9975	-0.3%	In line with trend	14
FQ4 (Jun–Aug)	1.0035	+0.3%	In line with trend	15

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 62 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: 0.2137x

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