Analyzing a stock, end to end

No professional values a company one way. Each method fails differently: the DCF is honest about economics and fragile to assumptions, comps are current and hostage to the market's mood, precedents price an event that may never come. The craft is running them in the right order and reading their disagreement, because the disagreement is usually where the insight is.

The working order

The sequence professionals actually follow, and the reason each step precedes the next:

1. Understand the business. Moat, industry structure, management, growth quality. This sets every number that follows; done second, it becomes rationalization.
2. Read the statements and filings. Five years of drivers, margins, cash conversion, the debt schedule, the footnotes.
3. Value it intrinsically. A DCF for a standard operating company, or the industry's own method where the standard machine breaks. Built driver-first, presented as a sensitivity range.
4. Cross-check against the market. Trading comps: what are peers paid, and what premium or discount does this company deserve against them, named explicitly?
5. Price the event case. Precedent transactions: what would an acquirer pay, and how plausible is an acquirer?
6. Assemble, conclude, and state what would change your mind.

The football field: one page, every method

The standard synthesis exhibit lays each method's range as a horizontal bar against the current price:

A football field, in miniature

                        $80        $100        $120        $140
DCF (8-10% WACC)          |=============================|
Trading comps (EV/EBITDA)        |==============|
Precedents (3yr)                        |====================|
52-week range                 |===================|
                                    ^ current price $104

Reading it is a skill of its own. Where the bars overlap is the zone multiple independent methods agree on; conviction lives there. The current price against that zone is the thesis: below every bar's midpoint says cheap on all counts, inside the cluster says fairly priced, and above the precedent bar says priced past what an acquirer would pay, which demands an extraordinary story.

When the methods disagree, ask why before averaging

A DCF far above the comps means you believe something the market does not; the entire investment case is exactly that belief, so name it and test it. Comps far above the DCF means the market expects more than your model grants, and a reverse DCF (what growth does the price imply?) will tell you precisely what. Averaging the bars into one number destroys the very information the exhibit exists to show.

Weighting by situation

Situation	Lean on	Because
Stable cash generator	DCF	Forecastable flows; the intrinsic anchor is strong
High-growth, pre-profit	Comps + reverse DCF	The DCF is all terminal value; ask what the price implies instead
Bank, insurer, REIT	Sector methods	The standard machine breaks; use the industry's own
Plausible takeover target	Precedents	The event is the thesis
Cyclical at a peak or trough	Mid-cycle DCF, normalized comps	Spot numbers lie at both extremes
Sum of unlike parts	SOTP	One multiple cannot price three businesses

The output: a view you can defend

The deliverable of all this work is not a price target; it is an argument with a number attached. The professional standard, whether in a bank's committee memo or a fund's pitch, contains the same five things:

The thesis in three sentences, including the part the market disagrees with. If nothing in your view differs from consensus, the price already reflects it.
The valuation summary: the field, the chosen range, the implied upside and downside.
The catalysts: what events would force the market to reprice toward your view, and roughly when.
The risks, quantified: not a list of adjectives but the two or three ways you are most plausibly wrong, each with its price.
The falsifier: the observable fact that would make you exit. Deciding it now, in calm, is cheap; deciding it mid-drawdown is expensive.

The final test: asymmetry, not accuracy

Expected value, the number that decides

expected value = P(bull) x bull price + P(base) x base price + P(bear) x bear price

a stock at $100 with a $150 bull at 30%, $110 base at 50%, $70 bear at 20%:
EV = 45 + 55 + 14 = $114  ->  attractive not because the bull case is likely,
but because the downside is small relative to the upside

Great analysts are not right more often so much as they are positioned so that being right pays multiples of what being wrong costs. The valuation work above exists to estimate those three prices honestly; the probabilities are the judgment you are paid for; and the discipline of requiring asymmetry before acting is what a margin of safety means in practice.

Glossary for this guide

Football field: The one-page chart bankers use to lay valuation ranges from every method (DCF, trading comps, precedent transactions) side by side as horizontal bars. Where the bars overlap is where conviction lives.
Reverse DCF: Running the machine backwards: instead of estimating value from assumptions, solve for the growth and margins the current price already implies, then judge whether those are beatable. Often more honest than the forward version, because it removes your favorite input.
Expected value: The probability-weighted average of the outcomes: bull, base and bear prices times their odds. The number that decides whether a position is attractive, and the reason a likely-wrong idea with a huge payoff can beat a likely-right one with none.
Margin of safety: Buying below your estimate of value by enough to survive being partly wrong. The working admission that every valuation is an estimate.
Catalyst: The event expected to force the market to reprice toward your view: earnings, a spin-off, a regulatory decision, a contract. Cheap without a catalyst can stay cheap for years; the catalyst is the thesis's clock.
Falsifier: The observable fact, chosen in advance, that would prove the thesis wrong and trigger exit. Deciding it while calm is cheap; deciding it mid-drawdown is expensive, which is why professionals write it down first.
Sum-of-the-parts: Valuing a multi-business company piece by piece, each segment by its own industry's method, then summing and netting corporate costs and debt. The tool for conglomerates and the arithmetic behind every break-up thesis.
Mid-cycle earnings: A cyclical company's earnings averaged across the cycle rather than taken at the current peak or trough. Valuing cyclicals on spot earnings buys high and sells low by construction.
Intrinsic value: What an asset is worth from its own cash-generating ability, independent of the current market quote. The output a DCF attempts; the market price is the number it is compared against.
Sensitivity analysis: Re-running a valuation across a grid of assumptions, classically discount rate against terminal growth, to see the range of answers rather than one false-precise point. If the verdict flips inside plausible assumptions, the model has not settled the question.