What is BSX's forecasted revenue?

Boston Scientific Corporation is forecasted to generate $22.7B in FY revenue, representing +13.3% year-over-year growth.

How accurate is the BSX revenue forecast model?

The ARDL model achieves 2.7% MAPE (Mean Absolute Percentage Error). In a holdout test, it predicted $5.3B versus the actual $5.3B.

Boston Scientific Corporation BSX

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

Revenue dynamics are driven by SG&A efficiency, with $1 of SG&A spending generating $3.07 in long-run revenue, and R&D data not available for this model. The linear model, built on 70 quarters of data, achieves 2.7% MAPE accuracy, with holdout tests predicting $5.3B vs actual $5.3B (0.1% error), indicating reliable forecasting. The latest quarterly revenue is $5.285B, reflecting a scalable platform consistent with the ROI dynamics observed. The outlook calls for $23B in revenue this fiscal year, up 13.3% year over year, underscoring solid growth momentum and the continued importance of SG&A-driven ROI for upside.

Investment Thesis

Our ARDL model tracks Boston Scientific Corporation's revenue with exceptional precision (2.7% MAPE), indicating highly predictable cash flows. Each $1 of SG&A spending generates $3.07 in revenue, reflecting strong commercial efficiency.

Next FY Revenue

$22.7B

+13.3% YoY

SG&A Multiplier

$3.07 per $1

Model Accuracy

2.7% MAPE

Holdout validation: The model predicted $5.3B vs the actual $5.3B — an error of 0.1%.

Note: Boston Scientific Corporation 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	$5.3B	$5.3B	$5.1B – $5.5B	+15.7%	✓ In range
Q2 2026	$5.4B		$5.1B – $5.7B	+16.5%
Q3 2026	$5.6B		$5.2B – $6.0B	+10.7%
Q4 2026	$5.8B		$5.3B – $6.2B	+13.9%
Q1 2027	$5.9B		$5.5B – $6.4B	+12.4%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Boston Scientific Corporation'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)	0.9986	-0.1%	In line with trend	17
FQ2 (Dec–Feb)	0.9907	-0.9%	In line with trend	17
FQ3 (Mar–May)	1.0076	+0.8%	In line with trend	16
FQ4 (Jun–Aug)	0.9956	-0.4%	In line with trend	16

How Spending Drives Revenue

Reading this chart: Each line shows the cumulative revenue generated per $1 spent over subsequent quarters. The effect builds over 4-5 quarters as investments mature.

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