FAQ
How should a CRE team use this article?
Use it as a checklist for the questions to ask during underwriting, not as a substitute for source-backed deal review. The final model still needs document citations, market checks, review states, and clear assumption ownership.
Where does Cactus fit in this workflow?
Cactus reads deal-room materials, checks assumptions against market context, surfaces conflicts, lets users approve the facts that drive the model, and preserves the logic as Proprietary Memory for the next deal.
Commercial real estate success hinges on understanding three critical metrics: Cash Flow, Debt Service Coverage Ratio (DSCR), and Loan-to-Value (LTV). Calculating these metrics traditionally required complex spreadsheets and manual data entry, modern solutions like Cactus now automate these...
Commercial real estate success hinges on understanding three critical metrics: Cash Flow, Debt Service Coverage Ratio (DSCR), and Loan-to-Value (LTV). Calculating these metrics traditionally required complex spreadsheets and manual data entry, modern solutions like Cactus now automate these calculations, ensuring accuracy and saving countless hours.
Cash Flow: The Lifeblood of Commercial Real Estate
Cash flow represents the net income generated by a property after accounting for all operating expenses and debt service. Understanding this metric is crucial for evaluating investment potential and ongoing property performance.
Components of Cash Flow Analysis
Effective Gross Income (EGI):
- Rental income from all units
- Additional income (parking, storage, etc.)
- Vacancy and collection loss adjustments
Operating Expenses:
- Property taxes and insurance
- Utilities and maintenance
- Management fees
- Capital expenditure reserves
Traditional calculation methods required manually inputting these figures into spreadsheets, a time-consuming process prone to errors. Cactus automatically extracts this data from rent rolls and operating statements, calculating cash flow metrics instantly while eliminating manual entry errors.
Real-World Application
Consider a 100-unit multifamily property: Monthly rent: $1,200 per unit Gross Potential Income: $1,440,000 Vacancy (5%): -$72,000 Other Income: $50,000 Operating Expenses (45%): -$648,000
Annual Net Operating Income: $770,000 Debt Service: -$500,000 Net Cash Flow: $270,000
Cactus processes these calculations automatically, allowing investors to run multiple scenarios instantly and identify optimal investment strategies.
DSCR: Measuring Debt Payment Capability
Debt Service Coverage Ratio measures a property's ability to cover its debt payments with its operating income. Lenders typically require a minimum DSCR of 1.25, though requirements vary by property type and market conditions.
DSCR Calculation Made Simple
DSCR = Net Operating Income / Annual Debt Service
Traditional Method:
- Calculate annual NOI manually
- Input debt service parameters
- Create formula in spreadsheet
- Verify calculations
- Adjust for different scenarios
Cactus Method:
- Upload property financials
- Enter loan terms
- Receive instant DSCR calculations for multiple scenarios
Understanding DSCR Thresholds
DSCR Interpretations: 1.0: Property barely covers debt payments 1.25: Typical minimum lender requirement 1.5+: Strong debt coverage position
Cactus automatically flags DSCR values below lender thresholds and suggests adjustments to reach target ratios, eliminating the need for manual scenario testing.
LTV: Balancing Leverage and Risk
Loan-to-Value ratio represents the loan amount divided by the property's value, indicating leverage level and risk exposure. Understanding LTV helps investors optimize their capital structure while meeting lender requirements.
LTV Considerations
Traditional LTV Analysis:
- Manual property valuation inputs
- Spreadsheet calculations
- Individual scenario testing
- Manual lender requirement checking
Cactus simplifies this process by:
- Automatically calculating multiple valuation scenarios
- Comparing results against lender requirements
- Suggesting optimal loan structures
- Providing instant sensitivity analysis
Market-Specific LTV Standards
Different property types and markets have varying LTV expectations: Multifamily: 75-80% Office: 65-75% Retail: 65-75% Industrial: 65-75%
Cactus maintains updated market standards and automatically alerts users when deals fall outside typical parameters.
How Cactus Transforms Metric Analysis
Traditional spreadsheet analysis requires:
- Hours of manual data entry
- Complex formula creation
- Constant error checking
- Limited scenario testing capability
Cactus automates the entire process:
- Upload property documents
- Enter basic deal parameters
- Receive instant analysis of all key metrics
- Run unlimited scenarios
- Generate professional reports
Real Impact:
- 92% reduction in analysis time
- 30% improvement in accuracy
- Elimination of formula errors
- Instant scenario testing
- Standardized reporting
Making Better Investment Decisions
Understanding these metrics is crucial, but speed and accuracy in calculating them can make the difference between winning and losing deals. While traditional spreadsheet methods require hours of manual work and introduce error risks, Cactus automates these calculations, allowing investors to:
- Analyze more deals in less time
- Make faster, source-backed decisions
- Identify optimal deal structures
- Maintain consistent analysis standards
- Focus on strategy rather than calculations
Take Your Analysis to the Next Level
Stop spending hours building spreadsheets and checking formulas. Visit www.trycactus.com/demo today to see how our platform can transform your investment analysis process. Join the growing number of investors who trust Cactus to provide accurate, instant metric calculations for every deal.
How Cactus turns this into defensible underwriting
Underwriting is not a template exercise. Cactus reads deal-room materials, normalizes rent rolls and T-12s, checks rents, expenses, growth targets, and comps against market intelligence, then keeps the source trail attached as the model moves toward IC, lender, broker, or principal review.
- Extract relevant facts from OMs, rent rolls, T-12s, leases, PDFs, spreadsheets, and customer templates.
- Check rents, expenses, growth targets, cap rates, sales comps, and site context against market intelligence from premium data providers, public records, and firm history.
- Surface conflicts, confidence states, reviewer comments, and assumption overrides before the model becomes the memo.
- Populate Excel or Cactus models, then store approved facts, templates, comps, and decisions in Proprietary Memory for the next deal.
The point is not to make the model less sophisticated. The point is to make the source, market check, assumption owner, review state, and output path visible before the number reaches a partner, lender, client, or investment committee.
Defensible underwriting
Defend every number before it reaches IC.
Cactus gives CRE teams ARGUS-grade underwriting intelligence with document extraction, market checks, source trails, reviewable assumptions, Excel-ready outputs, and Proprietary Memory around the workflow.
- Rent rolls, T-12s, OMs, comps, and assumptions live in separate files.
- Market evidence gets copied into the model without a durable source trail.
- Reviewer decisions disappear after the memo, email thread, or spreadsheet version changes.
- Extract deal facts from OMs, rent rolls, T-12s, leases, PDFs, spreadsheets, and customer templates.
- Check rents, expenses, growth targets, sales comps, and other assumptions against market intelligence.
- Populate Excel or Cactus models and preserve approved logic as Proprietary Memory.
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