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Public marketsQL ExpectationsRESEARCH PREVIEW

QL EXPECTATIONS

The price is a story.
Test the assumptions.

Explore what a business must deliver to justify a price.
Change the drivers. See the trade-offs. Keep your reasoning.

From a stock price
to a testable investment case.

How the model works

Filed-baseline simulation. The pinned examples use FY2025 disclosures, not the latest financials; a ticker you pull uses the most recent annual filing on file with our data provider, which can lag the newest quarter. Test prices start at a previous close and are illustrative and editable—not live quotes or recommendations. Analyst targets and estimates are third-party opinions as reported by our data provider, dated and graded against history; the forward cone and conviction read are simulations of your own case, not forecasts.

View sources

Pinned examples with hand-checked FY2025 sources:

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UNDER THE HOOD

A transparent model. Not a crystal ball.

How the math works

Revenue compounds at your growth assumption for five fiscal years. Operating income equals revenue × margin. Unlevered free cash flow equals operating income × (1 − tax rate) minus net reinvestment. Discount those cash flows and a perpetual-growth terminal value, subtract assumed net debt, then divide by assumed shares.

What “price-implied” means

We solve for growth that matches your test price while holding every other input fixed. Other combinations can justify the same price. If no solution exists within −15% to 40% growth, we say so. This is not an observation of market consensus.

What the simulation shows

“Run 2,000 simulations” draws growth, margin and the discount rate from a normal distribution centred on your case with a fixed spread, values every draw, and plots the histogram. It measures how fragile your number is to small errors in your own assumptions. It is not a forecast of the stock and assigns no probability to real-world outcomes.

What the Street view adds

Each firm’s latest published price target from the trailing twelve months, deduplicated per firm, with the consensus label, range and dispersion (one sigma divided by the mean). They are third-party opinions reported by our data provider, dated, and shown so you can compare them with your own value — never a recommendation.

How the backward test grades targets

Every target with a full year of trading behind it starts at the close of the first session on or after its date. It is “reached” if any close inside the next 252 sessions crosses it. We also compare the median return the targets implied with the median return the stock delivered, so a systematic bias shows up as a number.

What the forward cone is

1,000 geometric Brownian paths in daily steps at the stock’s own trailing-year volatility, with the median path drifting to the anchor you choose (your value, the Street’s median, or nothing), drift capped at ±60% a year. Every probability is a share of simulated paths. It is not a forecast.

How conviction is scored

Five checks, each 0–100, weighted: Street agreement 25, target dispersion 15, the Street’s 12-month track record on this name 20, risk-adjusted edge (drift to your value ÷ volatility) 25, and the robustness of your own model across the 2,000 nudged cases 15. Checks without data drop out and the weights renormalize; below 40% coverage no score is shown. It summarizes evidence about your case — it is not a probability, a rating or a recommendation.

Where judgment matters

Margins and reinvestment stay constant across forecast years. The model excludes separate segment forecasts, future dilution, buybacks and a transition to mature economics. Terminal value can dominate. Stress assumptions, inspect the sources, and do not treat a model output as a recommendation.

Research preview · For education and scenario exploration. Investing involves risk. No trades are placed. Next-stage filing updates, company-specific driver models and synced monitoring require additional validation.