RVMD · Bayesian revenue outlook

Revolution Medicines, Inc.: Bayesian forecast status

Model review 2026-11-04 · Data cutoff 2023-12-31

Source refresh and comparability. August 5 release reports Q2 2026 financial results; consolidated operations begin with operating expenses and show operating loss equal to those expenses, with no revenue line. This does not supply a positive recurring revenue history; retain withholding rather than use old collaboration revenue as a current commercial model. Revolution Medicines reported Q2 2026 financial results, with no revenue line in its operating statement. The 2023 cutoff is the last positive revenue observation in the historical model series, not the date of its latest financial report. A positive-revenue growth model is unsuitable for the current precommercial business.

Forecasts are conditional on the listed data cutoff. Sources were refreshed for this model run on 2026-11-04; the cutoff above identifies the latest verified revenue observation used for this model review. Some forecast quarters may already have ended by the computation date. Read each target date before treating an estimate as a future-quarter outlook.

Bayesian forecast withheld. Latest reported quarterly revenue remains more than 240 days old.

No Bayesian interval or simulated path is presented for this vintage. The earlier report below remains available for context; its ranges are not Bayesian prediction intervals.

Company context

Revolution Medicines reported Q2 2026 financial results, with no revenue line in its operating statement. The 2023 cutoff is the last positive revenue observation in the historical model series, not the date of its latest financial report. A positive-revenue growth model is unsuitable for the current precommercial business. Company announcement.

Management guidance versus reported revenue

Latest SEC earnings candidate sources were archived where available, but an exact numerical quarterly consolidated-revenue range and target were not fully verified. This is not evidence that the company never guides.

No verified numerical quarterly consolidated-revenue guidance is plotted for this research sample. This does not establish that the company never provides guidance; annual, segment-only and qualitative outlooks are separate.

Preserved Bayesian forecast vintage

Computed 2026-11-04 using revenue through 2023-12-31. These original numbers are retained unchanged to allow subsequent scoring; they were not refitted with the new results. Forecasts computed after a target quarter ended are retrospective estimates, not pre-release predictions.

The prior Bayesian forecast was withheld: Latest quarterly revenue ends 2023-12-31, more than 240 days before the rollout date.

Earlier company analysis · preserved vintage 2026-10-14

The report below retains its original forecasts, validation and company-specific discussion. Those revenue estimates use a different model or information cutoff; they are separate from the Bayesian outlook above. Any EPS model below has not been recalculated using the new Bayesian revenue paths.

Revolution Medicines, Inc. RVMD

Revenue Intelligence Report • 19 quarters of SEC filing data • Updated 2026-10-14 • Data through 2023-12-31

Earlier summary (2026-10-14): Revolution Medicines, Inc. has SEC quarterly revenue data through 2023-12-31. Latest available quarterly SEC revenue ends 2023-12-31; a current forecast is withheld.

Annualized Revenue
$2.97M
SEC Filings
19 quarters
Profile-only page: Latest available quarterly SEC revenue ends 2023-12-31; a current forecast is withheld.

Quarterly Revenue History

Quarter EndingRevenue
2019-03-31 $13.2M
2019-06-30 $12.3M
2019-09-30 $12.5M
2019-12-31 $12.1M
2020-03-31 $11.5M
2020-06-30 $10.0M
2020-09-30 $12.7M
2020-12-31 $8.8M
2021-03-31 $10.1M
2021-06-30 $8.7M
2021-09-30 $1.1M
2021-12-31 $9.5M
2022-03-31 $7.6M
2022-06-30 $9.1M
2022-09-30 $3.4M
2022-12-31 $15.3M
2023-03-31 $7.0M
2023-06-30 $3.8M
2023-12-31 $0.7M

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