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Stock EvaluationEnter one ticker and it shows the right valuation model for the company, a value investing score, a reverse DCF and an AI indicator in a single view — plus a Gordon Growth Model dividend estimate whenever the stock pays one, and a Growth Score plus EV/Sales check for pre-profit growth companies. Each uses the same calculation engine as KashVector's standalone tools — this page just picks the right one and shows it all together.
The valuation model is chosen automatically from the company's sector and financials — no manual toggle. Banks and insurers get the Dividend Discount Model, or the Excess Return Model if they retain most of their earnings instead of paying them out. Regulated utilities also use Excess Return, since a regulator sets their allowed return on a fixed asset base rather than letting cash flow drive value. REITs use an FFO/AFFO multiple, airlines use EV/EBITDA, and pre-profit growth companies get a Growth Score plus EV/Sales check instead of a cash-flow-based value. Everyone else gets a standard Discounted Cash Flow (DCF) valuation.
The value investing score is a quality, resilience and margin-of-safety checklist drawn from Buffett, Dalio and Graham, checked against the company's own financials.
For companies valued with DCF, the results open with What's priced in?, a reverse DCF: the DCF run backwards from today's share price to the market-implied growth rate, showing the free cash flow growth the price already assumes next to the company's actual revenue and free cash flow growth over recent years. It describes the price; it is not a forecast or a recommendation.
For most stocks with enough trading history it also shows an AI indicator: the AI Sector Correlation and AI Hardware Correlation — how closely the stock's daily price moves have tracked an AI-themed ETF (AIQ) and a semiconductor ETF (SMH) over the past year, after removing broad-market movement. It describes past price behaviour; it is not a trading signal, a valuation or a recommendation.
Each card's hand-off link opens the full standalone tool, pre-filled with the same ticker, where every assumption — growth rate, discount rate, terminal growth, target multiple — is yours to change.
Free, no sign-up. Only the ticker symbol is sent externally to Yahoo Finance via a Cloudflare Worker proxy. Recently viewed tickers are saved locally in your browser only.
Enter one ticker and it shows everything in a single view: the valuation model that fits the company (DCF, DDM, Excess Return, REIT, or Airline), a value investing score, what growth today's share price assumes (a reverse DCF), and an AI indicator (AI Sector Correlation) showing how closely the stock's price has moved with the AI sector over the past year. It also adds a Gordon Growth Model dividend estimate whenever the stock pays one, and a Growth Score plus EV/Sales check for pre-profit growth companies. Each uses the same calculation engine as KashVector's standalone tools.
Automatically, from the company's sector and financials — no manual toggle. Banks and insurers get the Dividend Discount Model, or the Excess Return Model if they retain most of their earnings. Regulated utilities also use Excess Return. REITs use an FFO/AFFO multiple, airlines use EV/EBITDA, and pre-profit growth companies get a Growth Score plus EV/Sales instead of a cash-flow-based value. Everyone else gets a standard Discounted Cash Flow (DCF) valuation.
A checklist score from three classic value-investing approaches, checked against the company's own financials: Buffett-style quality and consistency (margins, return on equity, debt levels), Dalio-style diversification and resilience signals, and Graham-style margin-of-safety and balance-sheet conservatism. The combined result is a Strong, Partial or Poor Fit — a checklist result, not a buy or sell call.
It is a reverse DCF: it runs the DCF valuation backwards to find the market-implied growth rate. Instead of estimating what the company is worth at an assumed growth rate, it works out the free cash flow growth rate that today's share price already assumes, using the same starting cash flow, discount rate and long-run growth as the DCF card. It then sets that rate next to the company's actual revenue and free cash flow growth over the last few years. If the price assumes much faster growth than the company has delivered, the market is expecting it to speed up; if much slower, to slow down. It describes the price; it is not a forecast or a recommendation. It is shown for companies valued with the DCF model.
The AI indicator is KashVector's AI Sector Correlation: a number between -1 and 1 showing how closely a stock's daily price moves over the past year have tracked an AI-themed ETF (AIQ) and a semiconductor ETF (SMH), after removing general market movement. It describes past price behaviour. It is a descriptive statistic, not a trading signal, a prediction or a recommendation. See the AI Sector Correlation guide for how it is calculated.
This page picks the right model for you and shows everything at once. Each card's hand-off link opens the full standalone tool, pre-filled with the same ticker, where every assumption — growth rate, discount rate, terminal growth, target multiple — is yours to change.
Completely free, no sign-up required. No personal data is collected or stored. Only the ticker symbol is sent externally to Yahoo Finance via a Cloudflare Worker proxy. Recently viewed tickers are saved locally in your browser only.
A measure of how closely this stock's daily price movements have tracked the AI sector over the trailing 12 months, after removing the effect of general stock-market movement. It is shown against two benchmarks: a broad AI-themed ETF (AIQ) and a semiconductor ETF (SMH), the hardware side of the AI boom. It answers "does this stock move with AI-sector sentiment specifically, beyond just moving with the market overall?" — not whether the company's revenue comes from AI.
We compute daily returns for the stock, the two AI ETFs (AIQ and SMH), and an equal-weight broad-market ETF over the trailing year, then calculate the partial correlation between the stock and each AI ETF while statistically controlling for the broad-market ETF. This isolates AI-specific co-movement from ordinary market-wide moves — a stock correlated with the market generally (which most large stocks are) doesn't automatically score as AI-correlated. See the full glossary entry for the formula and its limits.
A reading of -0.20 or lower. After removing general market movement, the stock has tended to rise when the AI sector (or semiconductor stocks) fall, and fall when they rise. It is a strong link, just in the opposite direction, which is why it is coloured red like High. It describes past price behaviour, not a prediction.
The broad AI ETF mixes hardware, cloud and software companies, so a stock can look unrelated to it while moving strongly with, or against, semiconductor stocks. For example, some large software companies have shown a near-zero reading against the broad AI ETF but a clearly negative one against semiconductors. Showing both lets you see either pattern. See the AI Hardware Correlation guide for how the semiconductor reading works.
The colour shows how strongly the stock's price has been tied to the AI sector, in either direction. It is not a good or bad rating. Red means a strong link: High (moves with the AI sector) or Inverse (moves against it). Amber is Moderate, green is Low, and cyan means no meaningful link (None). Red is not a quality or valuation warning.
No. This is a descriptive statistic about historical price co-movement, not a valuation judgment or a recommendation. A stock can show high AI correlation and still be overvalued, and a stock with no AI correlation can still be a sound investment for other reasons. Use it alongside the valuation and framework scores above, not in place of them.
Correlation measures how the market has priced the stock recently, not the company's actual business exposure. A company can have a real AI-infrastructure story (for example, supplying power or components to data centres) without the market yet trading its shares in sync with AI-sector sentiment — the underlying business case and the price pattern are two different things.
Stocks listed outside the US (for example on the ASX or KRX) trade on a different calendar to the US-listed AI ETFs used for this comparison, so there are fewer directly overlapping trading days to compare. This can understate the correlation for otherwise AI-linked international companies — a known limitation of the method, not a judgment about the company.
Yes. After evaluating a ticker, select Compare next to Evaluate and enter a second ticker. The two are shown row by row — valuation model and value range, what's priced in, value investing score, solvency, key stats, dividend and AI sector correlation — with a note when the companies are in different sectors or are valued with different methods. Close either side to go back to a single stock.