Valuation & Pitch Prep
Practice Your Real Estate Comps Analysis Online
Stop practicing with dead answer keys. Upload your Comps Analysis to SheetRank and our AI engine will instantly audit your math, catch disguised hardcodes, and trace your root-cause errors.
Why Real Estate modeling is different
Going-in cap rates, NOI bridges, and lease-roll assumptions dominate — small errors in vacancy or rent growth compound across hold-period cash flows.
What a Comps Analysis actually tests
A comps analysis tests judgment as much as math — can you pick a genuinely comparable peer set, normalize for one-time items and different fiscal calendars, and choose the right multiple for the industry, rather than mechanically pulling whatever tickers show up in a screener.
Common Comps Analysis interview questions
How do you select comparable companies?
Start with business model similarity (what the company actually does, its growth stage and margin profile), then filter by size, geography, and capital structure. A smaller set of genuinely comparable companies is more useful than a large set that's comparable in name only — interviewers specifically probe whether you'd exclude an obvious outlier.
Why use EV/EBITDA instead of P/E?
EV/EBITDA is capital-structure-neutral — it doesn't get distorted by differences in leverage or tax rates across companies the way P/E does, since EBITDA sits above interest and taxes. P/E is still useful when comparing companies with genuinely similar capital structures, or in sectors like financial services where EBITDA isn't a meaningful metric at all.
How do you handle outliers in a comp set?
Investigate why the multiple is an outlier before deciding what to do about it — a depressed multiple might reflect a real risk (customer concentration, pending litigation) that should stay in the set as a data point, or it might reflect a one-time event that justifies exclusion. Blindly dropping the highest and lowest multiples without understanding why is the wrong instinct.
What you get on SheetRank
- Live spreadsheet IDE — build from a blank grid, not a template
- Hidden-scenario grading with ±$1 and 0.01% cap rate tolerance
- Hardcode firewall that catches disguised constants like =LOG10(10)*90
- Root-cause error tracing through your formula dependency graph
- Leaderboard rankings to benchmark speed and accuracy
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