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Comparable Company Analysis Excel Template

Value companies using trading multiples with comprehensive peer group analysis, valuation benchmarking, and relative valuation methodologies for accurate market-based valuations.


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Value Companies Using Market Benchmarks

Comparable company analysis provides market-based valuations by comparing companies to similar publicly traded peers. Our Comparable Company Analysis template delivers professional tools to identify relevant peers, calculate trading multiples, and determine fair market valuations.

From peer selection to multiple calculations, apply rigorous relative valuation methodologies used by investment banks and institutional investors. Built for analysts, investors, and corporate development professionals, this template ensures your valuations reflect current market conditions.

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Systematic Peer Group Selection

Industry & Business Model Screening

Identify companies with similar business models, revenue streams, and industry exposure. Screen by SIC codes, business descriptions, and operational characteristics to ensure meaningful comparisons.

Size & Scale Comparisons

Filter companies by revenue size, market capitalization, and geographic scope. Ensure peer companies are of similar scale and operational complexity to avoid misleading comparisons.

Growth & Profitability Profiles

Compare growth rates, profitability metrics, and operational efficiency to identify truly comparable companies. Analyze historical performance and future prospects for peer validation.

Financial Metrics Alignment

Evaluate financial characteristics including leverage, capital intensity, and cash generation patterns. Select peers with similar capital structures and business economics.

Comprehensive Multiple Analysis

Trading Multiple Calculations

Calculate key trading multiples including P/E, EV/EBITDA, EV/Revenue, and P/B ratios. Include both trailing and forward-looking multiples based on analyst estimates and company guidance.

Industry-Specific Metrics

Apply industry-specific multiples such as EV/EBITDAR for airlines, Price/AUM for asset managers, and P/TBV for banks. Customize analysis for sector-specific value drivers and operational metrics.

Statistical Analysis

Perform statistical analysis of peer multiples including mean, median, and quartile ranges. Identify outliers and adjust for one-time factors that distort comparability.

Valuation Range Determination

Establish valuation ranges using different percentiles of peer multiples. Apply appropriate multiples to your target company's financial metrics to derive market-based valuations.

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Frequently Asked Questions

How many comparable companies should I include?

The template typically includes 8-15 comparable companies to provide meaningful statistical analysis while maintaining quality. It's better to have fewer high-quality comps than many marginal ones.

Should I use trailing or forward multiples?

The template uses both trailing twelve months (TTM) and forward multiples. Forward multiples are often more relevant for valuation but depend on the quality of analyst estimates and company guidance.

How do I handle companies with negative earnings?

The template provides alternative metrics like EV/Revenue, P/B, and EV/EBITDA for companies with negative earnings. It also includes guidance on using PEG ratios and other growth-adjusted metrics.

Can it adjust for different fiscal year-ends?

Yes, the template includes adjustments for different fiscal year-ends and seasonal variations. It normalizes financial data to ensure meaningful comparisons across peer companies.

How does it handle international companies?

The template includes currency conversion tools and adjustments for different accounting standards (GAAP vs. IFRS). It also considers country-specific risk factors and market conditions.

Frequently Asked Questions

If you question is not covered here, you can contact our team.

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How do I analyze data?
To analyze spreadsheet data, just upload a file and start asking questions. Sourcetable's AI can answer questions and do work for you. You can also take manual control, leveraging all the formulas and features you expect from Excel, Google Sheets or Python.
What data sources are supported?
We currently support a variety of data file formats including spreadsheets (.xls, .xlsx, .csv), tabular data (.tsv), JSON, and database data (MySQL, PostgreSQL, MongoDB). We also support application data, and most plain text data.
What data science tools are available?
Sourcetable's AI analyzes and cleans data without you having to write code. Use Python, SQL, NumPy, Pandas, SciPy, Scikit-learn, StatsModels, Matplotlib, Plotly, and Seaborn.
Can I analyze spreadsheets with multiple tabs?
Yes! Sourcetable's AI makes intelligent decisions on what spreadsheet data is being referred to in the chat. This is helpful for tasks like cross-tab VLOOKUPs. If you prefer more control, you can also refer to specific tabs by name.
Can I generate data visualizations?
Yes! It's very easy to generate clean-looking data visualizations using Sourcetable. Simply prompt the AI to create a chart or graph. All visualizations are downloadable and can be exported as interactive embeds.
What is the maximum file size?
Sourcetable supports files up to 10GB in size. Larger file limits are available upon request. For best AI performance on large datasets, make use of pivots and summaries.
Is this free?
Yes! Sourcetable's spreadsheet is free to use, just like Google Sheets. AI features have a daily usage limit. Users can upgrade to the pro plan for more credits.
Is there a discount for students, professors, or teachers?
Currently, Sourcetable is free for students and faculty, courtesy of free credits from OpenAI and Anthropic. Once those are exhausted, we will skip to a 50% discount plan.
Is Sourcetable programmable?
Yes. Regular spreadsheet users have full A1 formula-style referencing at their disposal. Advanced users can make use of Sourcetable's SQL editor and GUI, or ask our AI to write code for you.
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Benchmark Against Market Leaders

Professional comparable company analysis tools to determine fair market valuations using peer group benchmarking.

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