Research area · Valuation

Stock Valuation Guides: DCF, P/E, and Multiples Explained

How to price a stock correctly — intrinsic value methods, DCF discipline, multiples that actually mean something, and how to stress-test the assumptions your price target depends on.

Intrinsic valueDCF mechanicsMultiples disciplineAssumption stress-testing

Apply the framework

Run a DCF on any ticker — no spreadsheet required

Enter a ticker and the model pulls free cash flow, growth, and WACC defaults from Yahoo Finance. Adjust any assumption and watch intrinsic value update.

The insight most investors miss

A DCF output is almost certainly wrong — and that's why it works.

Every DCF is built on assumptions about growth rates, margins, and terminal values that no one can predict accurately 10 years out. The model will be wrong. That's not the point.

The value of DCF is that it makes your assumptions explicit and auditable. When you change your growth assumption from 12% to 8%, you see exactly how much you're overpaying for optimism. When you stress-test the discount rate, you find out how fragile your conviction is. No other valuation method forces this discipline — which is why analysts who skip DCF and jump straight to multiples tend to buy crowded trades at peak optimism.

The three methods for pricing a stock — and when to use each

No single method works for every company. Experienced analysts triangulate across three approaches:

  • Discounted cash flow (DCF). The theoretically correct method — price equals the present value of future free cash flows. Best for mature, FCF-positive businesses where you can reasonably model the next 5–10 years. Useless for pre-revenue companies or those with highly cyclical or lumpy FCF.
  • Relative multiples. Compare the stock to peers on P/E, EV/EBITDA, EV/Revenue, or P/FCF. Fast and practical, but dangerous in isolation — it tells you whether the stock is cheap or expensive relative to peers, not whether the whole sector is mispriced. Use multiples to calibrate DCF outputs, not replace them.
  • Asset-based / sum-of-the-parts (SOTP). Value each business segment or asset separately, then sum and subtract net debt. Best for conglomerates, holding companies, or asset-heavy businesses (real estate, mining) where the operating model is secondary to balance sheet composition.

The most robust valuation uses all three. If DCF says $80, EV/EBITDA says $95, and SOTP says $72, you have a range with $75–85 as the credible zone — not a single price target that implies false precision. Try the Intrinsic Value Calculator to get a quick per-share estimate with margin of safety built in.

Try this analysis

Pick a stock you're interested in. Run the DCF Calculator to get intrinsic value, then check where the implied EV/EBITDA lands relative to peers. If the multiple looks stretched vs. history, either your growth assumptions are too aggressive or the stock is genuinely expensive.

Inside a DCF: the three inputs that drive 90% of the output

A DCF has many inputs but three dominate the output:

  • Free cash flow growth rate (years 1–5). The near-term forecast. Anchor this to actual business mechanics: revenue growth, margin trajectory, capex intensity. Do not extrapolate recent growth linearly — check for mean reversion signals in margins and competition.
  • Terminal growth rate. The perpetuity growth rate applied after your forecast period — typically 2–4% for a stable US business (roughly in line with nominal GDP). Every basis point matters here because it applies to a perpetuity. A 3% vs. 4% terminal rate can swing intrinsic value by 15–25% on a high-multiple stock.
  • Discount rate (WACC). The weighted average cost of capital — blends cost of equity and after-tax cost of debt. For large-cap US equities, 8–10% is typical. For high-growth or unprofitable companies, 12–15% is more defensible. A lower discount rate inflates every future cash flow — analysts gaming DCFs tend to shave discount rates, not change growth assumptions.

Run sensitivity tables on these three inputs before trusting any DCF output. If your investment thesis only works at a 7% discount rate and 5% terminal growth, you should know that before buying.

Multiple discipline: when P/E misleads and when EV/EBITDA is better

Multiples are context-dependent. Using the wrong one for the wrong business type is a common and costly error:

  • P/E. Simplest and most widely cited — but distorted by leverage, non-cash charges, and tax timing differences. Useful for comparing similar businesses with similar balance sheets. A P/E of 25x is cheap for a company growing EPS at 30%; it's expensive for a company growing at 5%. Never look at P/E without looking at the earnings growth rate alongside it.
  • EV/EBITDA. The standard for M&A and LBO analysis because it's capital-structure neutral (enterprise value captures both equity and debt). Better than P/E when comparing companies with different leverage ratios or depreciation policies. Sector medians: software 20–30x, industrials 8–12x, banks N/A (use P/B or P/TBV instead).
  • EV/FCF (or P/FCF). The most honest multiple for FCF-heavy businesses because it doesn't rely on EBITDA adjustments or accounting choices. If a company trades at 40x EBITDA but 20x FCF, it's a lower-capex, lower-maintenance business than the EBITDA multiple suggests — and may be cheaper than it appears.
  • P/S (price-to-sales). Used for unprofitable growth companies as a proxy for future earnings potential. Low P/S only matters if the business can reach meaningful margins at scale — a P/S of 3x on a 5% gross margin business is not cheap. Compare P/S to gross margin percentages, not standalone.

By the numbers

Valuation calibration benchmarks

S&P 500 historical median P/E: 15–18x. Above 22x typically means the market is pricing in strong earnings growth or very low interest rates. Below 12x historically signals recession fear or credit stress.

WACC range for US large-caps: 8–10% (cost of equity 9–12%, weighted by balance sheet mix). Growth companies warrant 12–15%; defensive utilities trade on 6–8%.

Terminal growth rate convention: 2–3% for stable businesses; up to 4% for secular-growth companies. Anything above 4% implies the company eventually grows larger than the US economy — almost always an error.

Margin of safety convention: 20–35% below intrinsic value for a quality business; 40–50% for a lower-quality or cyclical one. The required margin grows with your uncertainty about the inputs.

Try it yourself

Apply these frameworks on any stock — no spreadsheet required.

Run a DCF valuation or compare P/E ratios by sector, free and instant.

```html

Estimated read: 15 minutes · Intermediate

By the end of this page, you will be able to:

  • Price a stock using intrinsic value, not just market multiples
  • Build and stress-test a DCF model explained in plain English
  • Know when to walk away from a good company at a bad price
```

The insight most investors miss

The P/E ratio is the most used — and most misused — metric in investing

```html

Most investors treat P/E like a price tag. Low number = cheap. High number = expensive. That's the wrong way to read it. A P/E ratio tells you what you're paying per dollar of earnings — but it says nothing about whether those earnings are growing at 3% or 30%. Without growth in the denominator, you're comparing apples to jet engines.

Here's the uncomfortable truth: Netflix at 45x earnings might actually be the better deal. If Netflix grows earnings 25% annually, you're paying roughly 1.8x for every point of growth. A railroad at 18x sounds disciplined — until you notice earnings are growing at 4%. You're paying 4.5x per unit of growth. The railroad is more expensive. The P/E said the opposite.

The metric that fixes this is the PEG ratio — P/E divided by earnings growth rate. Peter Lynch popularized it in the 1980s and it still cuts through the noise. A PEG below 1.0 historically signals a stock the market is undervaluing relative to its trajectory. Above 2.0, you're paying a steep premium and better have a good reason. The right question was never "what's the P/E?" — it's "what am I paying per unit of growth?" That one shift changes how you read every valuation table you'll ever see.

```

What intrinsic value actually means — and why market price is irrelevant

When you buy a share of Microsoft, you are not buying a ticker symbol. You are buying a fractional ownership stake in a business that collects cash from customers every month — Azure contracts, Office 365 subscriptions, Xbox Game Pass renewals. In fiscal 2024, that business generated roughly $74 billion in free cash flow. Your share of that cash flow, and every dollar of cash flow the business produces in every future year, is what you actually own. Intrinsic value is simply the present value of all those future cash flows, discounted back to today. Nothing more complicated than that.

The market price is something different. It is what another investor will pay you right now to take that stream of future cash flows off your hands. On any given day, Microsoft's market cap sits around $3 trillion — roughly 35 times its trailing earnings. That price is set by supply and demand, sentiment, momentum, and the marginal buyer's willingness to pay. It has nothing inherently to do with what the business is actually worth.

The gap between those two numbers is where investing happens. If intrinsic value is $400 per share and the market is offering the stock at $320, you have a margin of safety. If the market is pricing it at $500 and intrinsic value is $380, you are paying for growth that may never materialize. The market is not always wrong — but it is frequently emotional, short-sighted, and crowded. Your edge is patience and a better estimate of the long-run number.

Here is why a stock at all-time highs can still be cheap. Microsoft traded at $25 in 2010. It looked expensive to many investors then — the stock had gone nowhere for a decade. But the business was quietly building what would become a $100 billion cloud division. An investor who estimated future cash flows correctly, rather than anchoring to the recent price history, saw the gap clearly. The stock has returned over 2,000% since.

The job is not to find cheap-looking stocks. It is to find businesses whose future cash flows the market is underestimating. Price is what you pay. Intrinsic value is what you get. When those two numbers diverge enough, that is the opportunity.

Try this analysis

Pick a company you own or follow. Find its trailing twelve-month free cash flow (Yahoo Finance → Financials → Cash Flow). Divide by the current market cap. That's your FCF yield. Is it above or below the 10-year Treasury rate?

DCF in plain English: what the model is actually asking

```html

Discounted Cash Flow Analysis

A DCF answers one question: what should you pay today for every dollar this business will ever generate? Strip away the theory and that's it. You're estimating future cash, then discounting it back to today because a dollar in 2031 is worth less than a dollar now.

The mechanics have four steps:

  1. Estimate free cash flow. Start with operating cash flow, subtract capital expenditures. Alphabet generated roughly $72 billion in FCF in 2024. That's the baseline.
  2. Project a growth rate. How fast does FCF grow over the next 5–10 years? For Alphabet, analysts typically model 10–14% annual FCF growth — cloud acceleration offset by ad market maturation. Be conservative. Optimism here compounds into enormous errors.
  3. Choose a discount rate. This is your required return, usually the weighted average cost of capital. For a large-cap like Alphabet, 9–10% is a common assumption. A higher rate means future cash is worth less today — the denominator grows faster.
  4. Calculate terminal value. Beyond year 10, you stop projecting and assume the business grows at a stable rate — say 3–4% — forever. You then discount that perpetuity back to today.

Here's where most investors get surprised: terminal value typically accounts for 70–80% of the total DCF output. Run the math on Alphabet. Ten years of discounted FCF projections might sum to $500–600 billion. The terminal value alone, discounted back, can exceed $1.5 trillion. Alphabet's market cap sits near $2 trillion. Nearly everything you're paying for sits past the 10-year forecast window.

That's not a flaw — it reflects reality. A durable business generating cash for decades is worth more than its near-term earnings. But it does mean small changes in your assumptions detonate the output. Move the terminal growth rate from 3% to 4% on Alphabet, and fair value jumps by hundreds of billions. Move the discount rate from 9% to 10%, and it collapses by a similar amount.

DCF is not a calculator that produces The Answer. It's a framework that forces precision about what you're actually betting on — usually a specific story about cash flow durability a decade from now. The model's value isn't the number it spits out. It's the discipline of writing down exactly what you believe.

```

Try this analysis

Try the DCF Calculator on Alphabet (GOOG). Run the default assumptions, then drag the terminal growth rate from 3% to 4%. Watch how much the intrinsic value changes. That sensitivity is why terminal value assumptions deserve scrutiny.

By the numbers

Valuation multiples across sectors: what cheap and expensive actually look like

```html

Valuation Benchmarks by Sector

These are the ranges the market has historically paid. Knowing them keeps you from calling a utility "cheap" because it trades at 20x earnings — that's actually expensive for the sector.

Sector P/E Range EV/EBITDA Range
Technology (growth) 25–40x 15–25x
Consumer Staples 18–25x 12–16x
Utilities 14–18x 8–12x
Energy 10–15x 5–8x
Financials Price-to-Book: 1–2x (banks hold assets, not EBITDA)

Nvidia at 35x earnings looks expensive against the S&P 500's historical 16x average. Compared to other high-growth semiconductor companies, it's in the normal range — context is everything.

The mistake most investors make is cross-sector comparison: a 15x P/E on a utility is a stretched premium, while the same multiple on an oil major signals the market expects a cyclical downturn. Same number, opposite meaning.

```

Apply it

See how the valuation model works on a real stock

Basis Report runs intrinsic value analysis, DCF, and earnings quality scoring on any ticker — in 2 minutes.

Multiples: what P/E, EV/EBITDA, and P/FCF are actually measuring

```html

Every valuation multiple is a question. The multiple you choose determines what you're actually asking about a business — and each one has a blind spot.

P/E is the most widely quoted multiple, but it's built on GAAP earnings — the most manipulable number a company reports. Depreciation schedules, stock-based compensation treatment, one-time charges: accountants have enormous latitude here. When you pay 25x earnings, you're paying 25x a number that finance teams spend considerable effort shaping. P/E is useful for mature, asset-light businesses with predictable, clean earnings. It breaks down for capital-intensive companies, high-growth names reinvesting aggressively, or any company carrying a messy balance sheet.

EV/EBITDA solves the capital structure problem. Enterprise value (market cap plus net debt) replaces market cap, so you're valuing the whole business — not just the equity slice. EBITDA strips out interest expense, which means a company levered to the hilt looks comparable to one with no debt. That's useful for cross-company comparisons and LBO analysis. The catch: EBITDA ignores capital expenditures. A railroad and a software company can report identical EBITDA margins, but the railroad needs to spend billions maintaining track. EV/EBITDA treats them the same. It's a starting point, not a final answer.

P/FCF gets closest to the question that actually matters: how much cash does this business generate for its owners? Free cash flow — operating cash flow minus capex — is harder to manipulate than earnings and more complete than EBITDA. Netflix in 2023 is the clearest recent example. The company reported roughly $5.1B in GAAP net income. But it generated approximately $6.9B in free cash flow, because stock-based compensation and other non-cash charges depressed reported earnings without touching actual cash. A P/E buyer saw one price. A P/FCF buyer saw a business roughly 35% cheaper on cash generation. That gap matters enormously when you're sizing a position.

No single multiple works across all businesses. Use P/FCF for mature compounders where cash conversion is the story. Use EV/EBITDA when comparing across capital structures or evaluating a potential acquisition. Use P/E only when earnings are clean and capex is minimal. For early-stage or unprofitable companies, shift to EV/Revenue or EV/Gross Profit — you're buying a future earnings stream, not a current one. The worst mistake isn't picking the wrong multiple. It's applying one mechanically without asking what it's actually measuring.

```

The three valuation mistakes that cost investors money

```html

Getting the business right is the easy part. Valuation is where most money is lost — not because investors picked the wrong company, but because they used the wrong framework to determine what to pay. Three mistakes cause most of the damage.

  1. Anchoring to a historical multiple that no longer applies. Netflix traded at 60x earnings during its peak-growth years; that multiple reflected subscriber expectations that no longer held by 2022. When growth stalled, the stock fell 75%. Investors who called it "cheap relative to history" were anchoring to a multiple built on a thesis that had expired. Intel tells the same story in reverse: 16x earnings made sense when it owned CPU manufacturing; losing fabrication ground to TSMC and data center share to AMD means that multiple no longer applies.
  2. Ignoring the denominator. A 20x P/E on declining earnings is more expensive than a 25x on growing ones — and investors forget this constantly. Walgreens looked cheap at 10x earnings in 2022; earnings have since fallen more than 50%, meaning buyers were really paying 20x+ on what the business actually delivered. The same trap springs every commodity cycle: a steel company at 8x P/E at peak earnings isn't cheap. Those earnings won't hold, and the multiple expands painfully when the cycle turns.
  3. Confusing a great business with a great investment. Visa is one of the finest businesses in the world — 65%+ operating margins, no credit risk, a near-duopoly with Mastercard on global card payments. The market knows this, which is why the stock trades around 31x earnings. At that multiple, even 12% annual earnings growth gives you a starting earnings yield of roughly 3.2% — not a disaster, but not the bargain the business quality implies. The mistake is letting admiration for the company substitute for analysis of the price.
```

How to stress-test your price target before you buy

```html

Every valuation is a bet on the future. The problem is that analysts build models around their best guess, then treat that guess as fact. Stress-testing forces the opposite discipline: build the base case, then systematically destroy it. A valuation that only works under optimistic assumptions isn't a valuation — it's a wish. The goal is to find where the thesis breaks, because that's where the real risk lives.

  1. Write down every assumption explicitly. Before you touch a scenario, list the inputs driving your model: revenue growth rate, operating margin, terminal growth rate, discount rate. For a mid-cap SaaS stock trading at 35x forward earnings, your base case might be 12% annual revenue growth, 20% operating margins at maturity, 3% terminal growth, 10% discount rate. These are the levers. Now you can pull them.
  2. Run three scenarios — and make the bear case honest. Bull case: 20% growth, margins expand to 25%. Base case: 12% growth, margins hold at 20%. Bear case: 5% growth — roughly what happens if one major contract churns or a competitor undercuts pricing. Don't soften the bear case to make yourself feel better. The bear case should reflect something that could plausibly happen within 18 months.
  3. Calculate intrinsic value for each scenario. Run a simple DCF or reverse-engineer the implied multiple. In this example: bull case yields $95 intrinsic value, base case $62, bear case $31. The stock trades at $58. The base case barely supports the current price. The bear case implies 46% downside. That asymmetry is the finding — not the price target.
  4. Ask what has to be true for the stock to work. If intrinsic value only exceeds the current price under the bull scenario, you're not buying a stock — you're buying a forecast. Identify the single assumption that matters most. For growth stocks, it's almost always the revenue growth rate in years three through five. A drop from 15% to 8% often cuts intrinsic value by 30–40%. That's not a catastrophic outcome. That's a normal business quarter.
```

Try this analysis

Run the DCF Calculator on a stock in your portfolio. Then manually adjust the terminal growth rate down by 1.5 percentage points. How much did your intrinsic value change? If it moved more than 25%, your valuation is heavily terminal-value-dependent — that's a signal to raise your required margin of safety.

When to walk away: the discipline of not buying

```html

The Hardest Part: Knowing When to Do Nothing

You can build a flawless DCF, nail the comparables, and still destroy capital. The model isn't the hard part. The hard part is finishing your work, concluding the company is excellent, and then closing the tab. Charlie Munger called it "sitting on your ass" — the discipline to own nothing rather than overpay for something good. Most investors never develop it.

A few signals tell you a stock is priced for perfection. First, check the PEG ratio: if you're paying more than 1.5x the growth rate, the market has already borrowed years of future earnings into today's price. One stumble — a single missed quarter, a guidance cut — and the multiple compresses fast. Second, open your DCF and look at what percentage of your fair value estimate comes from terminal value. If it's above 80%, you're not valuing a business — you're valuing a story. Terminal value is where assumptions compound and errors hide. Third, calculate your margin of safety. If the stock is trading within 20% of your intrinsic value estimate, there's no cushion. Models are wrong. You need room for the model to be wrong and still come out ahead.

When two or three of those conditions stack up together — high PEG, terminal-value-heavy DCF, thin margin of safety — the answer is almost always to wait. Not forever. Prices change. Earnings grow into valuations. But chasing a great company at a dangerous price is how good analysis produces bad outcomes.

The practical rule: if you can't identify a 30% discount to your conservative fair value estimate, put the ticker on a watchlist and move on. The market will eventually give you a better pitch. Your only job is to be ready when it does.

```

Common questions

Stock valuation — answered directly.

What is a DCF model?

A discounted cash flow (DCF) model values a stock as the present value of all future free cash flows the business is expected to generate. You forecast 5–10 years of free cash flow, apply a terminal value for the years beyond, and discount everything back to today using a rate that reflects the risk of those cash flows. The output is intrinsic value per share — what the business is theoretically worth.

How do you calculate intrinsic value?

Intrinsic value is calculated by projecting a company's future free cash flows, discounting them to present value at an appropriate cost of capital, adding a terminal value for the perpetuity period, and dividing the total enterprise value (minus net debt) by shares outstanding. The result is per-share intrinsic value. Compare it to the current market price to see whether the stock is trading at a discount or premium.

What discount rate should I use for a DCF?

Most analysts use the weighted average cost of capital (WACC), which blends cost of equity and after-tax cost of debt by their respective weights in the capital structure. For large-cap US equities, 8–10% is typical; higher-risk growth companies warrant 12–15%. Run sensitivity tables at multiple rates rather than committing to one number — our DCF Calculator lets you stress-test discount rates instantly.

DCF vs comparable analysis — which is better?

Neither alone is sufficient. DCF is theoretically rigorous but highly sensitive to assumptions about growth, margins, and discount rates. Comparable (multiples) analysis is fast and grounded in market reality but tells you nothing if the entire peer group is mispriced. Experienced investors triangulate both — DCF for absolute value, comparables for sanity-checking the result against how the market is currently pricing similar businesses.

How do you value a stock with no earnings?

When a company has no earnings, traditional P/E analysis breaks down. Analysts typically use revenue-based multiples (EV/Revenue), a DCF built on projected future free cash flows once the business reaches profitability, or comparable transaction values from recent M&A in the sector. The key is estimating when and at what margin the company will generate positive cash flow, then discounting that back to today.

Valuation guides

23 frameworks for pricing stocks correctly.

Valuation foundations

How to Value a Stock

Great valuation work starts before the model. You need the right lens, the right assumptions, and a written rule for what would make you change your mind.

Write what the current price already expects before you call the stock mispriced.
Choose one primary valuation lens, then force every other metric to justify or challenge it.

DCF guide

DCF Analysis Guide for Investors — How to Build a DCF Model

A DCF is useful when it clarifies what the business must deliver. It is dangerous when the terminal value is doing all the thinking.

Write the three assumptions that move value most before building tabs.
Measure terminal value as a percent of total value every time.

Valuation foundations

DCF Sensitivity Analysis: How Assumptions Change Your Valuation

After running a DCF, immediately test what happens when growth drops by 2 percentage points and discount rate rises by 1 point.

Multiples guide

How stock multiples actually work

Name what each multiple is actually rewarding in the business.

Tech valuation

Tech multiples: what actually deserves a premium

Start with retention quality before headline growth.

Cash-flow valuation

Free cash flow yield: how to use it without kidding yourself

Start by deciding whether you need equity free cash flow yield or enterprise free cash flow yield.

Capital efficiency

Return on invested capital: how to use ROIC without kidding yourself

Separate trailing ROIC from incremental ROIC before you celebrate quality.

Operating multiple discipline

EV/EBITDA: how to use the multiple without fooling yourself

Use EV/EBITDA when capital structure differs, not because the multiple looks conveniently low.

Capital-structure valuation

Enterprise value vs market cap: when the difference actually matters

Write the EV bridge before you quote any multiple.

Balance-sheet valuation

Price to book ratio: how to use P/B without fooling yourself

Write down whether you are using total book, tangible book, or regulatory capital before comparing peers.

Breakup valuation

Sum-of-the-parts valuation: how to use SOTP without fooling yourself

Write down why the segments deserve different multiples before you assign any of them.

Accounting foundations

How to Read a Balance Sheet for Stock Investing

Compare total debt to total cash — the net debt position tells you how levered the company really is.

Technology analysis blueprint

Technology stock analysis: how to frame the research before the model

Write the three variables that would make you cut the growth estimate before you open a model.

Research report literacy

Equity research reports: read them like an owner

Read thesis and risk section before model output tables.

Analyst report breakdown

Analyst research report breakdown: what to trust, what to challenge

Read the bear case before the rating headline.

Analyst reports database

Analyst reports database playbook: build signal, not clutter

Tag every report by thesis driver, risk type, and catalyst horizon.

Stock report design

Stock report framework: what a serious report must include

Open with thesis, variant, and kill-switch on page one.

Stock analysis fundamentals

How to analyze a stock: first pass to conviction

Write the single variable that deserves the multiple before you open a model.

Valuation methods

DCF vs P/E vs EV/EBITDA: choosing the right lens

Match the valuation method to the business model before opening a spreadsheet.

Thesis construction

How to Build a Bull vs Bear Case for Any Stock

Write both sides before you size the position.

Cash-flow fundamentals

Free Cash Flow: What Earnings Miss and FCF Catches

Start with operating cash flow minus capital expenditures — that is free cash flow.

Sell discipline

When to Sell a Stock

Write your sell criteria the day you buy — not the day you need to sell.

Building a Thesis

How to verify a competitive moat before you pay up

Calculate ROIC for five consecutive years before calling any business a compounder.

Related research areas

Valuation only works when the inputs are trustworthy.

Accounting quality and capital allocation discipline directly affect the earnings and cash flows that feed every valuation model.

Fundamental Analysis Guide

The complete 5-step research process — from 10-K to position sizing

How to Value a Stock

The core framework — DCF, multiples, and margin of safety in one guide

P/E Ratio by Industry

Sector benchmarks so you know when a multiple is cheap or stretched

Earnings Analysis

Beat quality and cash conversion signals

Accounting Quality

What the adjusted numbers are hiding

Capital Allocation

How management deploys the cash you're valuing

Ready for a full analysis

Generate a full equity report on any ticker

Valuation, earnings quality, capital allocation, and red flags in one decision-ready document. Built by the same models that power these frameworks.

Apply it

Run a full valuation on any stock.

Basis Report generates a decision-ready analysis on any ticker — DCF, multiples, earnings quality, and red flags in one document. No spreadsheet theater required.

Get a free equity research reportInstitutional-quality analysis with DCF model, earnings quality score, and risk assessment — generated in under 2 minutes.Generate a Report — Free