Screening & comparison · Comparable company analysis
Comparable company analysis: run a comps analysis and peer valuation on any ticker
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Thesis, bull and bear case, key metrics, comparables and risk flags, synthesized into one structured tear-sheet.
Sample output is illustrative. Not financial advice.
Thesis
Bull case
Bear case
Key metrics
illustrative
Comparables
Risk flags
Informational only · sample output, not live market data · not financial advice.
Comparable company analysis, usually shortened to comps, is the fastest honest answer to the question of whether a stock is expensive. Instead of forecasting cash flows a decade out, you ask what the market currently pays for very similar businesses and check whether this one trades above or below that. The technique is simple. Doing it well is not, because the entire result depends on which companies you decide are comparable and whether you noticed why one of them is different.
Investables.ai builds that comparison for you. Enter a ticker and it assembles a peer set, lines up the trading multiples that matter for that kind of business, shows where the company sits in the range, and explains the differences in growth, margin, leverage and business mix that would justify a premium or a discount. Then it argues both sides, because a stock trading at a discount to its peers is sometimes cheap and sometimes broken. It is informational research, not investment advice.
Both sides bull and bear
Risk flags on every card
The short answer
What is comparable company analysis?
Comparable company analysis values a business by comparing its trading multiples, such as EV/EBITDA, P/E and EV/Sales, against a set of similar public companies. If peers trade at 12 times EBITDA and the target trades at 8, the analysis asks whether that gap is a mispricing or a fair reflection of weaker growth, thinner margins or more debt. Investables.ai builds the peer set and the multiple comparison on any ticker.
Last updated July 2026
Why it works
What separates a useful comps analysis from a misleading one
The peer set is the analysis
Comps built from companies that merely share a sector label produce noise. A real peer set matches business model, revenue mix, growth rate, margin structure and size, and the analysis has to say out loud why each company qualifies.
A discount is a question, not a conclusion
Trading below the peer group means the market disagrees with the peer group about something. The work is identifying what: slower growth, worse returns on capital, more debt, a governance problem, or an actual mispricing.
Normalize before you compare
One-off charges, different fiscal year ends, stock compensation treatment and lease accounting can move a multiple enough to reverse the ranking. Comparing unadjusted numbers across a peer set is where most comps quietly go wrong.
What you get
A structured first pass on every name
Enter any ticker or asset and the research card synthesizes the thesis, lays out the bull and bear case, surfaces the key metrics and comparables, and flags the risks, so your own diligence starts further along.
- Assembles a peer set with the reasoning for each inclusion
- Lines up the trading multiples that suit that business model
- Shows where the company sits in the peer range, not just the average
- Explains growth, margin and leverage differences behind the gap
- Flags when a low multiple looks like a value trap rather than value
- Works alongside a full research card on the same ticker
Thesis
Dominant AI accelerator supplier. The debate is the durability of data-center demand versus a cyclical capex peak.
Bull
CUDA moat, near-monopoly share
Bear
Customer concentration, cycle risk
Side by side
Which multiple to use for which kind of company
Picking the wrong multiple is the fastest way to reach a confident wrong answer.
| Multiple | What it compares | Best used for | Where it misleads |
|---|---|---|---|
| EV / EBITDA | Whole-company value to operating cash earnings | Capital-intensive and leveraged businesses | Ignores capex, so it flatters heavy-asset companies |
| P / E | Share price to net earnings per share | Mature, consistently profitable companies | Breaks with losses, one-off charges or very different tax and debt levels |
| EV / Sales | Whole-company value to revenue | Unprofitable or early-stage growth companies | Says nothing about whether the revenue is worth anything |
| EV / EBIT | Value to operating profit after depreciation | Comparing across different asset intensities | Sensitive to depreciation policy differences |
| P / B | Price to book equity | Banks, insurers and asset-heavy financials | Meaningless for capital-light or intangible-heavy businesses |
| P / FCF | Price to free cash flow | Businesses where accounting earnings are noisy | Distorted in years with unusual working capital or capex swings |
Multiples describe what the market currently pays for peers. They are not a valuation on their own and are not investment advice.
Why Investables.ai
One research card that compresses the reading
Not a wall of raw data, not a one-sided opinion, and not a six-figure terminal. The thesis, both sides of the argument and the risks, in one structured tear-sheet you can act on. You stay in control of every decision.
Both sides, every time
The bull case and the bear case sit side by side, so you weigh the argument instead of reading a single take. Informational only, never a recommendation.
Risks on the page
Valuation, concentration and regulatory risks are flagged explicitly, so the downside is visible up front rather than buried in a footnote.
Faster diligence
A structured first pass in seconds means you spend your time on judgement, not on gathering, across stocks, ETFs, crypto and startups.
Good questions
Questions about comparable company analysis
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Start your research with one structured card
Enter any ticker or asset and read the thesis, both sides of the argument and the risk flags in seconds. Built to make your own diligence faster. You decide, every time.
Informational only, not financial advice · past performance does not guarantee future results