Beone Medicines ltd. ONC

Revenue Intelligence Report • 36 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-06-30

Beone Medicines ltd.'s latest quarterly revenue is $1.7B for the period ending 2026-06-30. The model projects $7.1B across the next four quarters (+16.0% versus the preceding four quarters). The forecast uses SG&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 22.7%. These are statistical associations, not estimates of the causal effect of spending.

Investment Thesis

The ARDL 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
$7.11B
+16.0% YoY
R&D Elasticity
3.29x
SG&A Elasticity
1.14x
Training Fit
22.8% MAPE
Retrospective holdout (Q2 FY2026): The model predicted $2.09B vs the actual $1.71B — an error of 22.7%.
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.
Investor insight: Actual revenue ($1.7B) came in 23% below the spending-based forecast ($2.1B). This suggests spending is not yet translating to revenue at historical rates.

Revenue Forecast

ONC Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q2 FY2026
Period end 2026-06-30
$2.09B $1.71B $1.21B–$3.61B +59.1% ✓ In range
Q3 FY2026
Period end 2026-09-30
$1.54B $711.2M–$3.32B +8.7%
Q4 FY2026
Period end 2026-12-31
$1.73B $672.3M–$4.43B +15.2%
Q1 FY2027
Period end 2027-03-31
$1.53B $514.7M–$4.54B +1.0%
Q2 FY2027
Period end 2027-06-30
$2.32B $686.2M–$7.83B +35.9%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Beone Medicines ltd.'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) 0.9522 -4.8% -4.8% below trend 8
FQ2 (Apr–Jun) 1.0049 +0.5% In line with trend 7
FQ3 (Jul–Sep) 1.0431 +4.3% +4.3% above trend 8
FQ4 (Oct–Dec) 1.0097 +1.0% In line with trend 8

Spending and Revenue

ONC Spending Timing
Reading this chart: Each line shows the cumulative revenue association with a 1% change in 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 36 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current SG&A elasticity: 2.275x • R&D elasticity: -3.7417x
The model-term chart shows relative absolute term magnitudes. Its percentages are not shares of revenue or causal contributions to growth.

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