MODULE 1 • WEEK 4 • LESSON 15

Spreadsheets & Analysis Tools

Build professional analysis spreadsheets from scratch

⏱️ 30 min 💻 15 templates 📊 Live formulas ❓ 7 questions
Module 1
Week 4
Lesson 15
Quiz

The $100,000 Spreadsheet:

Two investors analyze the same 4-unit building for sale at $850k. Investor A uses basic mental math: “Rent looks like $800/unit = $3,200/month. That covers the mortgage, so it’s good.” Investor B builds a professional spreadsheet with actual expenses, vacancy rates, CapEx reserves, and 10-year projections. Investor A discovers after buying that the property loses $400/month due to expenses he didn’t calculate. Investor B’s analysis shows the true numbers and he passes on the deal, avoiding a $100k mistake. The difference? 2 hours building a professional analysis spreadsheet.

📊 New to Spreadsheets? Start Here First!

This lesson requires basic spreadsheet knowledge. If you’ve never used Excel or Google Sheets before, we’ve created a beginner-friendly tutorial just for you.

Learn Spreadsheet Basics First (15 minutes) →

Don’t worry – our tutorial teaches everything you need to know to succeed in this lesson!

1. Essential Excel/Google Sheets Functions for Real Estate

Professional real estate analysis requires specific spreadsheet functions. Master these 15 essential functions and you’ll analyze deals like a pro:

🧮 The Real Estate Function Arsenal

💰 Financial Functions

PMT() – Mortgage Payments
=PMT(rate/12, years*12, -loan_amount)

Example: =PMT(0.065/12, 30*12, -240000)

Result: $1,448.19 monthly payment

Use: Calculate monthly mortgage payments

💡 Pro tip: Use negative loan amount to get positive payment

PV() – Present Value
=PV(rate, periods, payment, future_value)

Example: =PV(0.08, 10, -25000, 0)

Result: $167,731 (value of $25k/year for 10 years)

Use: Calculate present value of cash flows

💡 Pro tip: Essential for DCF analysis of rental properties

NPV() – Net Present Value
=NPV(discount_rate, cash_flow_range)

Example: =NPV(0.10, B2:B11)

Result: Net present value of 10 years of cash flows

Use: Determine if investment meets return requirements

💡 Pro tip: Add initial investment manually (NPV doesn’t include year 0)

IRR() – Internal Rate of Return
=IRR(cash_flow_range_including_initial)

Example: =IRR(A1:A11)

Result: 12.5% (annual return rate)

Use: Calculate actual return rate on investment

💡 Pro tip: Include initial investment as negative number in year 0

🔍 Lookup & Reference Functions

VLOOKUP() – Data Retrieval
=VLOOKUP(lookup_value, table_array, col_index, FALSE)

Example: =VLOOKUP(B2,CompData,3,FALSE)

Result: Retrieves price per sq ft from comp database

Use: Pull comparable sales data automatically

💡 Pro tip: Use FALSE for exact match on property addresses

INDEX() & MATCH() – Advanced Lookup
=INDEX(return_array, MATCH(lookup_value, lookup_array, 0))

Example: =INDEX(C:C,MATCH(E2,A:A,0))

Result: More flexible than VLOOKUP

Use: Look left in data tables, multiple criteria

💡 Pro tip: Works with dynamic ranges and complex lookups

🎯 Conditional & Logic Functions

IF() – Conditional Logic
=IF(condition, value_if_true, value_if_false)

Example: =IF(B2>0,"Positive Cash Flow","Negative")

Result: Shows cash flow status

Use: Create conditional calculations and alerts

💡 Pro tip: Nest multiple IFs for complex decision trees

SUMIF() – Conditional Sum
=SUMIF(criteria_range, criteria, sum_range)

Example: =SUMIF(A:A,"Repair",B:B)

Result: Total repair expenses

Use: Sum expenses by category automatically

💡 Pro tip: Use SUMIFS() for multiple criteria

COUNTIF() – Conditional Count
=COUNTIF(range, criteria)

Example: =COUNTIF(Status_Range,"Vacant")

Result: Number of vacant units

Use: Track property metrics automatically

💡 Pro tip: Essential for vacancy and occupancy tracking

📊 Statistical & Analysis Functions

AVERAGE() – Mean Calculation
=AVERAGE(range)

Example: =AVERAGE(Monthly_Rent_Range)

Result: Average rent across all units

Use: Calculate average rents, cap rates, returns

💡 Pro tip: Use AVERAGEIF() for conditional averages

MEDIAN() – Middle Value
=MEDIAN(range)

Example: =MEDIAN(Comparable_Prices)

Result: Middle value (not skewed by outliers)

Use: More accurate than average for skewed data

💡 Pro tip: Better than AVERAGE for property values with outliers

STDEV() – Standard Deviation
=STDEV(range)

Example: =STDEV(Monthly_Returns)

Result: Volatility measure

Use: Measure risk and consistency

💡 Pro tip: Lower standard deviation = more predictable returns

🔤 Text & Formatting Functions

CONCATENATE() – Text Joining
=CONCATENATE(text1, text2, text3)

Example: =CONCATENATE(A2," - ",B2)

Result: “123 Main St – Unit A”

Use: Create property identifiers and labels

💡 Pro tip: Use & operator for simpler concatenation

TEXT() – Number Formatting
=TEXT(number, format_text)

Example: =TEXT(B2,"$#,##0")

Result: $345,000 (formatted currency)

Use: Format numbers for professional reports

💡 Pro tip: Essential for client-ready reports

2. Building Professional Deal Analysis Spreadsheets

A professional real estate analysis spreadsheet should be comprehensive, automated, and investor-ready. Here’s how to build them step by step:

📋 Essential Spreadsheet Structure

🏠 Rental Property Analysis Template

Sheet 1: Property Summary
A. Property Information (A1:D20)

Property Address: Manual input

Purchase Price: Manual input

Down Payment %: Manual input

Loan Amount: =Purchase_Price*(1-Down_Payment_Pct)

Monthly Payment: =PMT(Interest_Rate/12,Loan_Years*12,-Loan_Amount)

B. Income Analysis (F1:I20)

Gross Monthly Rent: =SUM(Unit_Rents)

Vacancy Rate: Manual input (typically 5-10%)

Effective Gross Income: =Gross_Rent*(1-Vacancy_Rate)

Other Income: Laundry, parking, etc.

Total Monthly Income: =Effective_Gross+Other_Income

C. Expense Analysis (K1:N20)

Property Taxes: =Annual_Tax_Bill/12

Insurance: =Annual_Insurance/12

Property Management: =Total_Income*Management_Pct

Maintenance & Repairs: Manual input or % of income

CapEx Reserve: =Total_Income*CapEx_Pct

Total Expenses: =SUM(All_Expense_Items)

D. Key Metrics (P1:S20)

Net Operating Income: =Total_Income-Total_Expenses

Cash Flow Before Taxes: =NOI-Debt_Service

Cap Rate: =NOI*12/Purchase_Price

Cash-on-Cash Return: =Cash_Flow*12/Cash_Invested

Debt Coverage Ratio: =NOI/Monthly_Payment

Sheet 2: 10-Year Projection

Purpose: Show how property performs over time with appreciation and rent growth

Key Formulas for Year-over-Year Analysis:

Rental Income Growth: =Previous_Year_Rent*(1+Rent_Growth_Rate)

Expense Growth: =Previous_Year_Expenses*(1+Expense_Growth_Rate)

Property Value: =Previous_Year_Value*(1+Appreciation_Rate)

Loan Balance: Use amortization table or built-in functions

Equity Position: =Property_Value-Loan_Balance

Sheet 3: Sensitivity Analysis

Purpose: Test how changes in key variables affect returns

Data Table Setup:

Variable 1 (Rows): Purchase Price (-10% to +10%)

Variable 2 (Columns): Rental Income (-10% to +10%)

Output Cell: Cash-on-Cash Return or IRR

Formula: Use Data > What-If Analysis > Data Table

🔨 Fix & Flip Analysis Template

A. Acquisition Costs (A1:C15)

Purchase Price: Manual input

Closing Costs: =Purchase_Price*0.03 (3% estimate)

Inspection Costs: Manual input

Total Acquisition: =SUM(Acquisition_Items)

B. Renovation Budget (E1:H30)

Kitchen Renovation: Manual input with contingency

Bathroom Updates: Manual input with contingency

Flooring: =Square_Footage*Cost_Per_SqFt

Contingency Buffer: =SUM(All_Reno_Items)*0.10

Total Renovation: =SUM(Reno_Items)+Contingency

C. Holding Costs (J1:L15)

Monthly Carrying: Taxes, insurance, utilities

Construction Loan Interest: =Loan_Amount*Interest_Rate/12

Total Holding Costs: =Monthly_Costs*Holding_Period_Months

D. Sale Analysis (N1:Q15)

ARV (After Repair Value): Based on comparable analysis

Sale Commission: =ARV*0.06 (6% typical)

Sale Closing Costs: =ARV*0.02 (2% estimate)

Net Sale Proceeds: =ARV-Commission-Closing_Costs

Total Profit: =Net_Proceeds-Total_Investment

ROI: =Total_Profit/Total_Investment

🏢 Commercial Property Analysis

A. Lease Roll Analysis

Unit-by-Unit Breakdown: Tenant, square footage, rent/SF, lease expiration

Total Rental Income: =SUMPRODUCT(Square_Footage,Rent_Per_SF)

Weighted Average Rent: =Total_Rent/Total_Square_Footage

Lease Expiration Schedule: Sort by expiration date

B. Operating Expense Analysis

Expense per Square Foot: =Total_Expenses/Rentable_Square_Feet

Expense Ratio: =Total_Expenses/Gross_Income

Expense Trending: 3-year historical analysis

C. DCF Analysis

Year 1-10 NOI Projections: Include rent growth and expense increases

Terminal Value: =Year_10_NOI/Terminal_Cap_Rate

Present Value: =NPV(Discount_Rate,Cash_Flows)+Terminal_PV

3. Interactive Deal Analyzer Builder

Build your own professional rental property analyzer using real formulas:

🏠 Build Your Rental Property Analyzer

Property Information:

Income Information:

Expense Information:

4. Advanced Spreadsheet Analysis Techniques

Take your analysis to the next level with these professional techniques used by institutional investors:

🚀 Professional Analysis Methods

📊 Scenario Analysis

Purpose: Test multiple scenarios to understand risk and upside potential

Setup Method:

1. Create scenario table:

Scenario | Rent | Vacancy | Expenses | Purchase Price
Conservative | -5% | +3% | +10% | Current
Base Case | Current | Current | Current | Current
Optimistic | +5% | -2% | -5% | -5%

2. Link inputs to scenario:

=VLOOKUP(Scenario_Selection,Scenario_Table,2,FALSE)

3. Calculate outputs for each scenario:

=Base_Rent * (1 + Rent_Adjustment)
Professional Benefits:
  • Shows range of possible outcomes
  • Helps set realistic expectations
  • Identifies key risk factors
  • Supports investment committee presentations

🎯 Monte Carlo Simulation

Purpose: Model thousands of possible outcomes using random variables

Excel Implementation:

1. Define variable ranges:

Rent Growth: NORM.INV(RAND(), 3%, 2%)
Vacancy Rate: NORM.INV(RAND(), 8%, 3%)
Cap Rate: NORM.INV(RAND(), 6%, 1%)

2. Calculate outcome for each iteration:

=IRR(Cash_Flow_Array_With_Random_Variables)

3. Run 1,000+ iterations and analyze distribution:

=PERCENTILE(Results_Array, 0.05) // 5th percentile (worst case)
=PERCENTILE(Results_Array, 0.95) // 95th percentile (best case)
Professional Benefits:
  • Quantifies risk more precisely
  • Shows probability of different outcomes
  • Used by institutional investors
  • Supports sophisticated decision-making

💹 Portfolio Analysis

Purpose: Analyze multiple properties as a portfolio to optimize risk/return

Portfolio Metrics Setup:

1. Create property summary table:

Property | Investment | Annual_CF | IRR | Risk_Score
123 Main | $75,000 | $6,000 | 12% | 3
456 Oak | $100,000 | $8,500 | 15% | 5

2. Calculate portfolio metrics:

Total Investment: =SUM(Investment_Column)
Weighted IRR: =SUMPRODUCT(Investment,IRR)/SUM(Investment)
Portfolio Yield: =SUM(Annual_CF)/SUM(Investment)

3. Diversification analysis:

Geographic Concentration: =COUNTIF(Location,"Same_City")/COUNT(Properties)
Property Type Mix: =COUNTIF(Type,"Single_Family")/COUNT(Properties)
Professional Benefits:
  • Optimizes portfolio diversification
  • Identifies concentration risk
  • Tracks overall portfolio performance
  • Supports strategic asset allocation

📈 Dynamic Dashboards

Purpose: Create visual dashboards that update automatically with new data

Dashboard Components:

1. Key Performance Indicators (KPIs):

Total Portfolio Value: =SUMPRODUCT(Current_Values)
Monthly Cash Flow: =SUM(Monthly_CF_All_Properties)
Overall Cap Rate: =SUM(NOI)/SUM(Property_Values)

2. Conditional formatting for alerts:

Red if Cash Flow < 0
Yellow if Occupancy < 90%
Green if IRR > 15%

3. Dynamic charts:

Use OFFSET() for dynamic ranges
Create pivot charts for flexible analysis
Link charts to dropdown selections
Professional Benefits:
  • Real-time portfolio monitoring
  • Quick identification of issues
  • Professional investor presentations
  • Automated reporting for stakeholders

5. Creating Charts That Tell the Investment Story

Professional investors use specific chart types to communicate investment opportunities. Here’s how to create them:

📈 Essential Real Estate Investment Charts

📊 Cash Flow Projection Chart

Purpose: Show how cash flow changes over time with rent growth and debt paydown

Data Setup:

X-axis: Years 1-10

Y-axis: Annual cash flow

Series 1: Cash flow before taxes

Series 2: Cash flow after taxes

Chart Type: Line chart with markers

Key Formulas:
Year 1 CF: =NOI - Debt_Service
Year 2 CF: =NOI*(1+Rent_Growth) - Debt_Service
After-tax CF: =Before_Tax_CF - Tax_Liability
What It Shows Investors:
  • When property becomes cash flow positive
  • Impact of rent growth over time
  • Effect of mortgage paydown on cash flow
  • Tax benefits in early years

🏠 Property Value & Equity Build-Up

Purpose: Demonstrate wealth building through appreciation and mortgage paydown

Data Setup:

Chart Type: Stacked area chart

Series 1: Loan balance (bottom, decreasing)

Series 2: Equity position (top, increasing)

Total Height: Property value

Key Formulas:
Property Value: =Initial_Value*(1+Appreciation_Rate)^Years
Loan Balance: Use amortization schedule
Equity: =Property_Value - Loan_Balance
What It Shows Investors:
  • Total return includes appreciation + paydown
  • Equity builds even without cash flow
  • Leveraged returns on investment
  • Long-term wealth building potential

💰 Return Comparison (IRR vs Cash-on-Cash)

Purpose: Compare different return metrics across multiple scenarios

Data Setup:

Chart Type: Clustered column chart

X-axis: Different scenarios (Conservative, Base, Optimistic)

Series 1: Cash-on-Cash Return (annual %)

Series 2: IRR (total return %)

Key Formulas:
Cash-on-Cash: =Annual_Cash_Flow/Initial_Investment
IRR: =IRR(Complete_Cash_Flow_Array)
Cap Rate: =NOI/Property_Value
What It Shows Investors:
  • How returns vary under different conditions
  • Difference between cash flow and total returns
  • Risk-adjusted return expectations
  • Sensitivity to key assumptions

🎯 Break-Even Analysis

Purpose: Show what occupancy/rent level is needed for positive cash flow

Data Setup:

Chart Type: Line chart

X-axis: Occupancy rate (70% to 100%)

Y-axis: Monthly cash flow

Break-even line: Horizontal line at $0

Key Formulas:
Income at Occupancy: =Max_Rent * Occupancy_Rate
Cash Flow: =Income - Fixed_Expenses - Debt_Service
Break-Even Occupancy: =Goal_Seek or Solver
What It Shows Investors:
  • Minimum occupancy for profitability
  • Safety margin above break-even
  • Impact of vacancy on cash flow
  • Risk tolerance requirements

6. Case Study: The Spreadsheet That Saved $200,000

How a comprehensive spreadsheet analysis exposed hidden problems in a “great deal”:

🏢 The Deal: 12-Unit Apartment Building

Deal Presentation:

  • List Price: $1,200,000
  • Seller’s Pro Forma: $144,000 annual NOI
  • Claimed Cap Rate: 12% (exceptional)
  • Seller Pitch: “Fully leased, turn-key investment”
  • Expected Cash Flow: $60,000 annual after debt service

Initial Red Flags:

  • Cap rate too high for market (typically 6-8%)
  • No detailed expense breakdown provided
  • Seller reluctant to share actual leases
  • Property looked dated despite “turn-key” claim

🔍 The Professional Spreadsheet Analysis

Step 1: Income Reality Check

Seller’s Income Claims:

12 units × $1,000/month: $144,000/year

Vacancy allowance: “Property never vacant”

Other income: $6,000 (laundry, parking)

Total claimed income: $150,000

Spreadsheet Reality Check:

Actual lease review: Only 10 units leased

Rent roll verification: Average $850/month (not $1,000)

Market vacancy rate: 8% (industry standard)

Realistic annual income: $93,840

Key Spreadsheet Formulas Used:
=SUMIF(Unit_Status,"Occupied",Monthly_Rent)*12
=Gross_Income*(1-Market_Vacancy_Rate)
=AVERAGE(Monthly_Rent_Array) // Verify claimed averages

Step 2: Expense Deep Dive

Seller’s Expense Estimates:

Property taxes: $8,000

Insurance: $3,500

Maintenance: $4,000

Total expenses: $15,500

Expense ratio: 10.3% (unrealistically low)

Professional Expense Analysis:

Property taxes: $18,000 (researched actual)

Insurance: $8,500 (quotes obtained)

Property management: $7,500 (8% of income)

Maintenance & repairs: $12,000 (older building)

CapEx reserves: $6,000 (6% for older property)

Utilities, landscaping, other: $8,000

Total realistic expenses: $60,000

Realistic expense ratio: 64% (typical for older buildings)

Key Expense Validation Formulas:
=Property_Value*Tax_Rate // Verify tax estimates
=Gross_Income*Management_Fee_Pct
=Square_Footage*Maintenance_Per_SqFt // Industry benchmarks
=SUM(All_Expenses)/Gross_Income // Calculate expense ratio

Step 3: True Financial Performance

Seller’s Pro Forma Performance:

Gross Income: $150,000

Expenses: $15,500

NOI: $134,500

Cap Rate: 11.2%

Cash-on-Cash (25% down): 18.7%

Spreadsheet Reality:

Realistic Income: $93,840

Realistic Expenses: $60,000

Actual NOI: $33,840

True Cap Rate: 2.8%

Actual Cash-on-Cash: -8.3% (negative!)

Additional Hidden Costs Discovered:

Immediate capital needs: $75,000 (roof, HVAC, plumbing)

Unit improvements: $30,000 (to achieve market rents)

Legal issues: $15,000 (pending tenant disputes)

Total additional investment: $120,000

Step 4: Deal Decision Matrix

Investment Scenarios Modeled:
Scenario A: Seller’s Claims (Buyer Beware)

Total Investment: $300,000 down payment

Annual Cash Flow: $60,000

5-Year Total Return: $420,000

Scenario B: Realistic Analysis

Total Investment: $420,000 (down + improvements)

Annual Cash Flow: -$15,000 (negative for 3 years)

5-Year Total Loss: -$185,000

Scenario C: Alternative Investment

Same $420,000 in index funds at 8%

5-Year Value: $617,000

Opportunity Cost: $802,000

Decision Support Formulas:
=IRR(Realistic_Cash_Flow_Array) // True return calculation
=NPV(Required_Return,Cash_Flows) // Value at required return
=Alternative_Investment*(1+Market_Return)^Years // Opportunity cost

💰 The $200,000 Save

Financial Impact of Professional Analysis:

Avoided down payment loss: $300,000

Avoided improvement costs: $120,000

Avoided 5 years of losses: $75,000

Opportunity cost avoided: $382,000

Total value of analysis: $877,000

🎓 Key Lessons:

  • Seller pro formas are marketing documents, not analysis
  • Professional spreadsheet analysis pays for itself 1000x over
  • Always verify income claims with actual lease documents
  • Use industry-standard expense ratios, not seller estimates
  • Model realistic scenarios, not best-case fantasies
  • Include all costs: acquisition, improvement, opportunity cost

⏰ Time Investment vs. Value:

Time spent on analysis: 8 hours

Value created: $877,000

Hourly value: $109,625 per hour

ROI on analysis time: Infinite (saved from disaster)

⚡ Your Spreadsheet Mastery Challenge

Build a Professional Deal Analyzer (30 minutes):

Use the interactive tool above, then create your own advanced analysis:

🏠 Challenge Property: 6-Unit Building

List Price: $750,000

Units: 6 apartments (2BR/1BA each)

Current Rents: $1,100/month per unit

Market Rents: $1,250/month (after $15k in improvements)

Property Taxes: $12,000/year

Insurance: $6,000/year

Age: Built 1985, well-maintained

Build Analysis Including:
  • Complete income/expense analysis with realistic assumptions
  • 3-scenario analysis (Conservative/Base/Optimistic)
  • 10-year cash flow projection
  • Break-even analysis
  • Comparison to alternative investments

Document Your Analysis:

📋 Template Reference (always visible)

SPREADSHEET ANALYSIS CHALLENGE:

  • PROPERTY: 6-Unit Apartment Building – $750,000
  • INCOME ANALYSIS:
  • Current Gross Income: 6 units × $1,100 = $_____ annual
  • Market Gross Income: 6 units × $1,250 = $_____ annual
  • Vacancy Rate Applied: ____% (reasoning: _____________)
  • Effective Gross Income: $_____
  • Other Income (if any): $_____
  • Total Income: $_____
  • EXPENSE ANALYSIS:
  • Property Taxes: $12,000
  • Insurance: $6,000
  • Property Management (___%): $_____
  • Maintenance & Repairs: $_____ (reasoning: _____________)
  • CapEx Reserves (___%): $_____
  • Utilities (landlord-paid): $_____
  • Other Expenses: $_____
  • Total Expenses: $_____
  • Expense Ratio: _____%
  • NET OPERATING INCOME (NOI): $_____
  • FINANCING ANALYSIS:
  • Purchase Price: $750,000
  • Down Payment (___%): $_____
  • Loan Amount: $_____
  • Interest Rate: _____%
  • Loan Term: _____ years
  • Monthly Payment: $_____
  • Annual Debt Service: $_____
  • CASH FLOW ANALYSIS:
  • Cash Flow Before Tax: NOI – Debt Service = $_____
  • Cash-on-Cash Return: _____%
  • Cap Rate: _____%
  • Debt Coverage Ratio: _____
  • SCENARIO ANALYSIS:
  • Conservative Case:
  • – Assumptions: _________________________________
  • – Cash Flow: $_____
  • – Return: _____%
  • Base Case:
  • – Assumptions: _________________________________
  • – Cash Flow: $_____
  • – Return: _____%
  • Optimistic Case:
  • – Assumptions: _________________________________
  • – Cash Flow: $_____
  • – Return: _____%
  • IMPROVEMENT ANALYSIS:
  • Cost to Reach Market Rents: $15,000
  • Additional Annual Income: $_____
  • Payback Period: _____ years
  • IRR with Improvements: _____%
  • 10-YEAR PROJECTION:
  • Year 1 Cash Flow: $_____
  • Year 5 Cash Flow: $_____
  • Year 10 Cash Flow: $_____
  • Total 10-Year Cash Flow: $_____
  • Projected Sale Price (Year 10): $_____
  • Total Return (IRR): _____%
  • BREAK-EVEN ANALYSIS:
  • Break-even Occupancy Rate: _____%
  • Safety Margin: _____%
  • Monthly Break-even Income: $_____
  • ALTERNATIVE INVESTMENT COMPARISON:
  • Same capital in stock market (8% return): $_____
  • Real estate vs. stocks (10-year): _____ advantage
  • Risk-adjusted conclusion: _________________________________
  • DECISION RECOMMENDATION:
  • Purchase recommendation: Yes/No
  • Maximum offer price: $_____
  • Required improvements: $_____
  • Expected return: _____%
  • Risk level: Low/Medium/High
  • Reasoning: _________________________________________________
  • SPREADSHEET FEATURES USED:
  • Financial functions: _____________________________
  • Lookup functions: _____________________________
  • Conditional logic: _____________________________
  • Charts created: _____________________________
  • Scenario analysis: _____________________________
  • KEY INSIGHTS LEARNED:
  • 1. ________________________________________
  • 2. ________________________________________
  • 3. ________________________________________
  • 4. ________________________________________
  • 5. ________________________________________
0 characters

🎯 Spreadsheet Mastery Takeaways

1

Master 15 essential functions and you can analyze any real estate deal professionally

2

Professional templates include income, expenses, financing, and multi-year projections

3

Scenario analysis and sensitivity testing separate pros from amateurs

4

Visual charts communicate investment stories better than numbers alone

5

Advanced techniques like Monte Carlo simulation provide institutional-quality analysis

6

Comprehensive analysis can save hundreds of thousands on bad deals

7

Professional spreadsheets are worth their weight in gold for serious investors

✅ Spreadsheet Analysis Mastery Quiz

Question 1:

Which Excel function calculates monthly mortgage payments?

Question 2:

What is the correct formula for calculating cap rate in a spreadsheet?

Question 3:

Which function is best for looking up comparable sales data in a spreadsheet?

Question 4:

What does the IRR() function calculate in real estate analysis?

Question 5:

In scenario analysis, what should you include to make it professional-grade?

Question 6:

What formula creates conditional expense calculations based on income levels?

Question 7:

What is the most important element missing from amateur real estate spreadsheets?

🎯 Ready to Complete Lesson 15?

Take the quiz to finish this lesson and earn progress toward your Real Estate Certification.

Students achieving 90%+ across all lessons qualify for potential benefits with lending partners and employers.

⏱️ Time spent: 30 min 📚 Progress: 14/16 lessons 🎯 Quiz: Not yet taken

Final Lesson:

Lesson 16: Your First Deal Analysis – Put everything together in a complete real-world analysis

← Lesson 14: Comparable Analysis Lesson 16: First Deal Analysis →