Kane County · cash flow modeling

St. Charles Cash Flow Analysis

BRRRR and rental cash-flow modeling for St. Charles investor properties using Kane County-specific tax assumptions.

Acquisition assumptions for St. Charles

Acquisition (85% of median)$446K
Rehab budget (midpoint)$138K
All-in cost$584K
ARV$645K

Monthly cash flow model

Monthly rent estimate$5K
Property tax (Kane County investor)−$1K
Insurance−$269
Vacancy reserve (7%)−$352
Property management (8%)−$402
Maintenance reserve (6%)−$302
NOI (monthly)$2K
DSCR refi (75% LTV / 7.5% / 30yr)$484K / $3K P&I
Monthly cash flow$-912
Cash left in deal$100K

Takeaways for St. Charles

St. Charles is one of the Fox River trio (with Geneva and Batavia) — affluent, historic, slow-and-steady flip market. Quality historic restorations command top dollar.

Suburban BRRRR economics in St. Charles lean differently than Chicago city neighborhoods: typically lower rent-to-price ratios but more stable end-buyer markets, more predictable rehab budgets, and lower effective tax rates than Cook County.

St. Charles cash flow FAQ

What's the typical monthly rent in St. Charles?

Estimated monthly rent for a stabilized investment property in St. Charles at the $645K median ARV is approximately $5K. Suburban rents typically run lower as a percentage of ARV than dense Chicago neighborhoods because property values include premium for suburban amenities (yards, garages, schools) that don't drive rent comparably.

How does Kane County compare to Cook for investor taxes?

St. Charles is in Kane County, which generally has lower effective property tax rates than Cook County for similar property types — material to BRRRR underwriting.

Does BRRRR pencil in St. Charles?

On this modeled estimate, a typical BRRRR project at the St. Charles median ARV produces approximately $-912 per month in cash flow after debt service. Cash flow is negative on the modeled assumptions — appreciation must drive returns for BRRRR to work here.

Directional cash-flow model, not personalized investment advice. Validate every assumption against current market data.

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