Co-developed with Tim Koller, lead author of Valuation
A rigorous, outside-in view of a company versus its peers: growth, margins, returns on capital, valuation gaps. Built on real financial modeling, not AI summarization.
A 20-minute walkthrough. Nothing needed from your side.
Trusted by executives, IR teams and boards at Fortune 100 and FTSE 100 companies.
"We hire the best people in the world.COO, US large-cap company
And we still don't have this."
Think of it as how a sophisticated investor would tear down the company: filings pulled, financials cleaned, valuation models run, presented as a guided narrative, against the peers that actually matter.
Growth, margins, returns on capital and valuation, standardized across the company and its peer set: the metrics investors judge on, not the ones management picks.
Every view comes with written interpretation, so a board member follows the same story a CFO does.
Every share price is a set of assumptions. ValueLens works backwards from the price: what do you have to believe about future growth, margins and returns on capital to justify today's valuation?
Those implied expectations are held up against consensus and the company's own track record, revealing when a stock is priced for a performance the business has never achieved, or when the market is underwriting less than management already delivers. It turns "our multiple is too low" into a conversation about which expectations the market doubts.
The same engine, run the way an activist runs it: find the value gap, find the wedge across operations, capital allocation and governance, and write the brief.
The output is, in effect, the brief an activist could publish on the company, before anyone else writes it.
Swap a peer in or out and the entire analysis rebuilds. Change an assumption and see what it's worth per share.
Not a one-off report. The analysis stays live as filings, consensus and prices move, on your own company, or any company of interest.
Written interpretation accompanies every view, so a non-finance reader follows the same story a CFO does.
Every number starts from the company's own filings, verified line by line by our analysts.
Any AI produces a plausible company analysis on demand. ValueLens is built so the numbers behind the analysis hold up in a boardroom.
The valuation engine is a full financial model, codified with Tim Koller. It is deterministic: same inputs, same valuation, every run. No AI touches the calculations.
Financials are extracted from filings at line-item depth, then verified and approved by human analysts. Every figure traces back to its source.
The interpretation layer carries decades of valuation experience: what drives value, which peers are truly comparable, what the numbers imply, read back as narrative, not data.
Every ValueLens module traces back to the value-driver framework from Valuation: Measuring and Managing the Value of Companies.
Earnings-cycle preparation, peer benchmarking, activist vulnerability, corporate development: the outside-in view of your company, always on.
"This is the type of analysis I typically call my bankers for. It's incredible to now have this available at my fingertips whenever I need it."
CFO, US large-cap companyStrategy is debated in operational terms and judged by the market in investor terms. One fact base for capital allocation, targets and the equity story.
"There's multiple questions based on the ValueLens analysis I'm going to take into the next board meeting."
Lead Independent Director, US mid-cap companyFast, defensible outside-in views on any company, so senior time goes to judgment instead of data assembly.
"This would take my analysts more than a week to produce. And then I wouldn't have this level of flexibility."
Managing Director, strategy consultancyScreening, diligence and portfolio monitoring, using the same verified numbers and peer logic, applied to the companies you're evaluating.
"I'm impressed you provide all the ingredients we look into when exploring potential investments."
Partner, value-investing firmPricing
Run the platform yourself, or have our analysts work alongside your team on the questions it surfaces. Expert-supported engagements are scoped separately.
See pricing →Insights
A mechanically calculated beta can be statistically correct and still be economically misleading. Measured against an equal-weighted index, betas hold far steadier through time.
The people behind ValueLens
Co-developer of the ValueLens methodology
Lead author of Valuation: Measuring and Managing the Value of Companies (8 editions), former McKinsey Partner
Co-Founder & CEO
Former McKinsey Strategy & Corporate Finance
Co-Founder & CPO
Former McKinsey Head of Product
Co-Founder & CTO
Former McKinsey Head of Engineering
An advisory board of former senior partners, executives, board directors, investors and a former activist.
See the full team →
A 20-minute walkthrough: your numbers, your peers, what the market is pricing in.
Public data only, nothing needed from your side.
Pick a time that works for you. In 20 minutes we'll walk you through what ValueLens shows on any company you choose. Public data only, nothing needed from your side.