Boston Scientific Corporation BSX

Revenue Intelligence Report • 73 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-06-30

Boston Scientific Corporation's latest quarterly revenue is $5.4B for the period ending 2026-06-30. The model projects $25.3B across the next four quarters (+20.3% versus the preceding four quarters). The forecast uses SG&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 6.5%. These are statistical associations, not estimates of the causal effect of spending.

Investment Thesis

The GAM forecast is based on reported revenue and SG&A data through 2026-06-30. Training MAPE measures fit to historical data; the separately reported holdout error measures a withheld quarter. Spending coefficients describe associations and do not establish causation.

Next 4 Quarters
$25.3B
+20.3% YoY
SG&A Multiplier
$3.10 per $1
Training Fit
1.7% MAPE
Retrospective holdout (Q2 FY2026): The model predicted $5.80B vs the actual $5.44B — an error of 6.5%.
Retrospective one-quarter holdout: model fitting and selection exclude this quarter. Historical inputs use the latest available restatements, so this is not a preserved real-time forecast.
Note: Boston Scientific Corporation does not report R&D expenses separately. The model uses the available expense measure without a separate R&D term.

Revenue Forecast

BSX Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q2 FY2026
Period end 2026-06-30		 $5.80B $5.44B $5.43B–$6.18B +14.5% ✓ In range
Q3 FY2026
Period end 2026-09-30		 $5.92B $5.51B–$6.35B +16.8%
Q4 FY2026
Period end 2026-12-31		 $6.33B $5.85B–$6.85B +19.7%
Q1 FY2027
Period end 2027-03-31		 $6.12B $5.62B–$6.67B +17.6%
Q2 FY2027
Period end 2027-06-30		 $6.89B $6.26B–$7.59B +26.6%

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 QuarterSeasonal Factorvs TrendInterpretationObs.
FQ1 (Jan–Mar) 1.003 +0.3% In line with trend 18
FQ2 (Apr–Jun) 1.0109 +1.1% In line with trend 18
FQ3 (Jul–Sep) 0.9999 -0.0% In line with trend 18
FQ4 (Oct–Dec) 0.996 -0.4% In line with trend 18

Spending and Revenue

BSX Spending Timing
Reading this chart: Each line shows the cumulative revenue association per $1 of spending over subsequent quarters. These estimates describe historical associations and do not establish causation.

Time-Varying Spending Associations

Time-varying analysis: A penalized spline model (GAM) tracks the association between log spending and log revenue over 73 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current SG&A elasticity: 1.2087x
The model-term chart shows relative absolute term magnitudes. Its percentages are not shares of revenue or causal contributions to growth.
Enhanced forecast: The time-varying model (GAM) was selected using training fit, before evaluating the withheld quarter. Its holdout error is 6.5%.

Want this analysis for your portfolio?

I build custom revenue intelligence reports for investors and companies using SEC filing data, econometric modeling, and AI-powered insights.

Get in Touch

Data sourced from SEC EDGAR XBRL filings. SEC source data. Forecast model: GAM; spending associations: ARDL (linear) with 73 quarters. This analysis is for informational purposes only and does not constitute investment advice.

More in Healthcare

BDX CRL BIIB MDT VTRS CAH WST GEHC