← Stoxa

For analysts and students

Every assumption visible. Every default explained.

You do not want a fair value, you want a defensible one. Every input is labelled, every number links to its filing, and the reverse solve tells you what you are arguing against.

Start — $29/month See pricing
What's priced in

Start from the price, not from a guess.

A fair value is only as good as its assumptions. Stoxa first solves the DCF backwards: hold margins, WACC and terminal assumptions at their sourced defaults and find the revenue growth the current price requires. That is a number you can check against history and defend.

Sourced defaults

Every assumption is seeded from the company's own point-in-time history and labelled with where it came from: 5-year revenue CAGR, trailing margin, regression beta, the implied equity risk premium and sector norms from Aswath Damodaran's published datasets (NYU Stern), the 10-year Treasury as published that day.

Reverse DCF first

The solver finds the growth rate that reproduces the price. Green when the market expects less than the company has delivered, red when it expects much more.

Then your view

Switch between a Strict case (growth fades from year one, tax converges to statutory) and a Street case (growth held five years, effective tax held) or edit any input. Sensitivity, Monte Carlo and scenarios all run off the same engine.

Valuation workbench

Sourced defaults, one engine.

Models open with defaults drawn from the company's own point-in-time history, and each one says where it came from. Change anything and every model, the reverse solver and the Monte Carlo run update together, because they share one engine.

  • DCF (free cash flow to the firm)
  • Reverse DCF
  • Dividend discount
  • Residual income
  • Relative valuation
  • WACC builder
  • Monte Carlo
  • Scenarios
  • Sensitivity
  • Reverse DCF first. See the growth the price implies before you see a fair value.
  • Strict and Street presets. The strict academic case next to a sell-side-style case, each input labelled.
  • Routed by company type. Banks and insurers go to dividend and excess-return models, not FCFF.
  • Data-quality gate. Derived EPS is checked against the filer's own EPS; stale tags, impossible margins and double-counted debt are flagged.

Value per share across WACC and terminal growth, Apple base case, workbench output of 2026-10-30. Shaded by distance from the centre case.

Method

One textbook method, applied consistently.

Stoxa follows the intrinsic-valuation framework taught in standard corporate finance texts, with defaults and sector data drawn from Aswath Damodaran's published datasets and lecture notes (NYU Stern), cited in Learn. The core model is a free cash flow to the firm (FCFF) DCF: operating cash flow after tax and reinvestment, discounted at the weighted cost of capital. Reinvestment is not a free parameter. It follows from growth through a sales-to-capital ratio, so faster growth costs more capital and the model cannot grow for free.

The cost of debt comes from a synthetic rating: interest coverage maps to a rating, and the rating to a default spread over the risk-free rate. Terminal growth is capped at the risk-free rate, because no company can outgrow the economy forever. Cyclical companies are valued on mid-cycle margins rather than a peak or trough year.

Banks and insurers are routed to a dividend discount model and a residual income (excess return) model, since debt is their raw material and free cash flow to the firm means little for them.

Each step, with the formulas, worked examples and a reading list, is written up in Learn.

Pricing

One plan. Everything included.

$29 a month or $290 a year. The full workbench, the API and the Python SDK. No data add-ons. Cancel any time.

US-listed companies filing with the SEC (no non-US coverage yet). Questions: hello@stoxa.io.