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Company research report template excel

Here’s a complete, actionable blueprint to build a professional Company Research Report Template in Excel. This structure works for investment analysis, competitive intelligence, vendor evaluation, or M&A research.


Step 1: Set Up Your Workbook Structure

Create 7 separate sheets with these exact names:

  1. Dashboard (Executive Summary)
  2. Profile (Basic Intel)
  3. Financials (5-Year History)
  4. CompMatrix (Competitive Landscape)
  5. SWOT (Strategic Analysis)
  6. Valuation (Investment Thesis)
  7. Catalysts (Timeline/News)

Step 2: Build Each Sheet (Copy these layouts)

Sheet 1: Dashboard (Your "At-a-Glance" View)

Format: Hide gridlines, add company logo placeholder, use a clean color palette (blue/gray).

CellContentExcel Feature
B2Company NameMerge cells B2:D2, font size 16, bold
B4Investment RatingData Validation dropdown: "Buy/Hold/Sell/Monitoring"
B5Price TargetCurrency format
B6Last Updated=TODAY() formula
B8:E8Key Metrics RowRevenue CAGR, Gross Margin, Debt/Eq, Market Cap
B10Investment ThesisMerge cells B10:E15, wrap text, 200 row height
G2:G6Mini ChartsInsert Sparklines referencing Financials sheet

Conditional Formatting: Make Rating cell turn green for "Buy", yellow for "Hold", red for "Sell".


Sheet 2: Profile (The "Who They Are")

Column A: Label, Column B: Data, Column D: Sources

RowA (Field)B (Input)D (Source/Notes)
2Company Name[Text]
3Ticker/Symbol[Text]
4SectorData Validation listGICS/Industry classification
5Sub-Industry[Text]
6Founded[Date/Year]
7Employees#,##0 formatLinkedIn/Annual Report
8HQ Location[Text]
9CEO Name[Text]
10CEO Tenure=YEAR(TODAY())-[StartYear]Formula calculates years
12Business ModelMerge B12:E18, wrap text1-paragraph description
19Key Revenue StreamsList in B19, C19, D19Product A %, Product B %, Service %

Sheet 3: Financials (The Numbers Engine)

Columns: Metric | Year -4 | Year -3 | Year -2 | Year -1 | Current | CAGR

ABCDEFG
1INCOME STATEMENT
2Revenue ($M)100115132151173=(F2/B2)^(1/4)-1
3Gross Profit4048566878
4Gross Margin %=B3/B2(copy right)=F4
5EBITDA2024293542
6EBITDA Margin %=B5/B2
8BALANCE SHEET
9Total Debt
10Cash & Equiv
11Net Debt=B9-B10
13CASH FLOW
14Free Cash Flow=(F14/B14)^(1/4)-1

Formatting:

  • Use conditional formatting on margin rows: Green if >30%, Red if <10%
  • Use Ctrl+Shift+% for percentage formatting
  • Freeze panes at Row 1, Column A

Sheet 4: CompMatrix (Competitive Landscape)

Rows: Companies, Columns: Key Comparison Metrics

ABCDEFG
1CompanyMkt CapEV/RevP/ERev GrowthGross MargMoat Score
2Target Company$1.2B4.5x18x15%45%8/10
3Competitor A$1.1B6.2x22x12%42%7/10
4Competitor B$1.4B3.1x15x8%38%6/10
5Industry Avg=AVERAGE(B2:B4)(copy across)

Pro Tip: Use Conditional Formatting > Color Scales on the valuation columns (C, D) to instantly see if your target is expensive (red) or cheap (green) vs peers.


Sheet 5: SWOT (Visual Grid)

Merge cells to create 4 quadrants. Use for text + scoring.

ABCDE
1INTERNALEXTERNAL
2StrengthsScoreOpportunitiesScore
3• Brand recognition9• New market entry7
4• High margins8• M&A targets6
8WeaknessesThreats
9• High debt load6• New entrants8
10• Key person risk5• Regulatory changes7

Add: =AVERAGE(B3:B7) at bottom of Score columns to quantify overall position.


Sheet 6: Valuation (Scenario Analysis)

Build a simple football field or DCF.

Football Field Approach:

ABCD
1MethodologyLowBaseHigh
2Trading Comps$15$12$10
3Transaction Comps$18$15$15
4DCF Analysis$12$10$18
5Weighted Average=AVERAGE(B2:B4)=AVERAGE(C2:C4)=AVERAGE(D2:D4)

Visualization: Select A1:D5, Insert > Charts > Bar Chart (horizontal) to create a valuation "football field" showing the range.


Sheet 7: Catalysts (Timeline)

Track upcoming events that move the stock/company.

ABCDEF
DateEventImpactBull CaseBear CaseStatus
2024-02-15Q4 EarningsHighBeat on marginsGuidance cutPending
2024-03-20Investor DayMedNew product revealNo strategy clarityScheduled
2024-06-01Patent ExpiryHighGeneric entry delayedRevenue lossRisk

Format: Use Data Validation in Column F for: "Pending / Active / Passed / Risk-Realized"


Step 3: Add Interactivity (Power Features)

1. Dynamic Dropdowns (Data Validation)

  • Select cells where you want dropdowns (e.g., Sector, Rating, Status)
  • Go to Data > Data Validation > List
  • Source: Technology,Healthcare,Financials,Consumer,Industrial (or reference a hidden "Lists" sheet)

2. Auto-Highlighting (Conditional Formatting)

  • Financials Sheet: Select margin cells → Home > Conditional Formatting > Color Scales (Green-Yellow-Red)
  • Catalysts Sheet: If Status = "Risk-Realized", turn row red; if "Beat", turn green

3. Hyperlink Source Documents

  • In Source columns, insert hyperlinks: Ctrl+K → link to 10-K PDF, earnings transcript, or news article

4. Protect Your Formulas

  • Select all input cells (where you type data) → Format Cells > Unlock
  • Select formula cells → Format Cells > Lock
  • Review > Protect Sheet (this prevents accidental deletion of CAGR formulas)

Step 4: Final Polish

  1. Create a "Print Area" on the Dashboard sheet (Page Layout > Print Area) for clean PDF export
  2. Add a logo placeholder (Insert > Pictures) in the Dashboard header
  3. Freeze Panes on Financials sheet (View > Freeze Panes > Freeze Top Row) so headers stay visible when scrolling

Quick Start Checklist

  • Create new workbook, rename 7 sheets as listed above
  • Set up Financials sheet formulas first (they feed the Dashboard)
  • Add Data Validation lists for consistency
  • Apply conditional formatting to margin/catalyst cells
  • Test with one real company to check formula flow

Ready to customize this further? Tell me:

  1. What’s your primary use case? (Stock picking, sales prospecting, due diligence for M&A, or competitive intel?)
  2. What industry focus? (SaaS metrics differ wildly from manufacturing—SaaS needs CAC/LTV/NDR rows; retail needs same-store-sales and inventory turns)
  3. Do you need automated data import? (I can show you how to link Excel to Bloomberg/Yahoo Finance APIs or web queries to auto-populate the Financials sheet)

Which section would you like me to expand first—the valuation modeling formulas, the automated data connections, or industry-specific metrics?