How to Detect Personal Expenses in a Business
Published February 2026
In owner-operated businesses, personal expenses hiding in the GL are among the largest — and most commonly missed — EBITDA add-backs. Finding them requires systematic detection, not just intuition.
$50K–$200K
Typical personal expense add-backs (SMB)
15–30
GL accounts where personal expenses hide
5–10×
More findings with AI vs manual review
Why Personal Expense Detection Matters
Owner-operated businesses routinely run personal expenses through the company. This is legal (with proper tax treatment) but distorts the business's true adjusted EBITDA. Every personal expense identified becomes an add-back that increases the value of the business.
For sellers, proactively identifying these items supports a higher asking price. For buyers, catching them all protects against overpayment.
Common Personal Expense Categories
Vehicles
Personal car leases, fuel, insurance, maintenance, registration — often the largest single category
Travel & entertainment
Family vacations, personal dining, sporting events, concerts, non-business travel
Insurance
Personal life insurance, umbrella policies, health insurance for non-employees
Memberships
Country clubs, gym memberships, personal subscriptions, professional associations
Home office & utilities
Home internet, phone, utilities, repairs, and furnishings charged to the business
Personal services
Estate planning, personal legal, financial advising, tax preparation
Family payroll
Spouse, children, or relatives receiving compensation for minimal or no work
Retail & online
Amazon, Target, personal shopping coded as office supplies or business expenses
Cash & ATM
Cash withdrawals and ATM transactions with no documented business purpose
Charitable contributions
Personal donations made through the business
Detection Methods
GL keyword search
Search transaction descriptions for personal expense indicators (see keyword list below)
Vendor analysis
Review all vendors for personal service providers — country clubs, gyms, personal attorneys
Account-level review
Focus on accounts where personal expenses commonly hide: T&E, auto, insurance, miscellaneous
Credit card analysis
Review corporate credit card statements for personal purchases
Pattern analysis
Regular recurring charges that don't match business operations
AI-powered scanning
AI reviews 100% of transactions and flags personal expense patterns across all accounts simultaneously
GL Keyword Search Targets
Search transaction descriptions and vendor names for these common indicators:
Vehicle keywords
BMW, Mercedes, Tesla, AutoNation, CarMax, fuel, gas station, car wash, Jiffy Lube
Travel keywords
Airline, hotel, resort, vacation, cruise, Expedia, Airbnb, VRBO, Uber, Lyft
Entertainment
Restaurant (personal), Ticketmaster, StubHub, ESPN, Netflix, Spotify, golf, marina
Retail
Amazon (non-business), Target, Walmart, Costco, Home Depot, clothing stores
Insurance
Life insurance, umbrella, personal policy, disability (owner-only)
Cash
ATM, cash withdrawal, cashier's check, money order
Step-by-Step Detection Process
Export the complete GL
Get all transactions with descriptions, vendors, amounts, and account codes
Run keyword searches
Search for personal expense indicator keywords across all transaction descriptions
Review flagged accounts
Focus on T&E, auto, insurance, miscellaneous, and office supplies accounts
Analyze credit card statements
Request and review corporate card statements for personal purchases
Interview management
Ask about personal use of business resources — owners often volunteer information
Quantify and categorize
Total each category of personal expense by period for the adjustment schedule
Cross-reference tax returns
Compare to personal and business tax returns for consistency
Documenting Personal Expense Add-Backs
Transaction-level detail
Each personal expense linked to specific GL transactions with dates, amounts, and descriptions
Category subtotals
Personal expenses grouped by type (vehicles, T&E, insurance, etc.) for clean presentation
Period-over-period consistency
Show the same analysis across all periods to demonstrate recurring nature
Owner acknowledgment
When possible, obtain seller confirmation that identified items are personal