HAPPYHOUSES LLC

Flipper active in Chicago-Naperville-Elgin, IL-IN. 31 acquisitions, $4.76M tracked volume, $153,679 average price, latest observed Apr 2026.

Chicago-Naperville-Elgin, IL-INflipperorganization
16% cash2 observed lenders$153,679 avgLatest Apr 2026

Investor profile snapshot

HAPPYHOUSES LLC is a flipper real estate investor active in Chicago-Naperville-Elgin, IL-IN with 31 recorded acquisitions totaling approximately $4,764,061. Recorded purchases appear concentrated in a tighter local market footprint. The most recent recorded purchase was in April 2026, so the visible activity window still looks fairly recent from a deed-record standpoint.

Recorded purchases skew toward Duplex and Single Family Residential. Average observed purchase price sits near $153,679, which reads as entry-level to lower-middle price points. Behavioral signals point to flip-oriented behavior and frequent private-lender financing within the recorded deed activity.

Observed window
April 2023 to April 2026

About 3 years of observed acquisition activity

Latest recorded purchase
April 2026

Recent enough to suggest the profile is still active

Market footprint
1 state / 1 metro

Activity appears concentrated in a narrower local market footprint

Strategy read
Flip-oriented

Derived from observed cash, financing, and flip-like transaction patterns

About this profile

SFR Analytics builds investor profiles from observed deed, mortgage, and assessor records. Use these metrics to compare acquisition patterns, market footprint, and financing signals across investors. Public-record coverage and entity resolution vary by county, so counts represent observed activity in our dataset rather than a complete legal ownership record.

Transaction Summary

31
Transactions
31
Properties
$4.76M
Total Volume
$153,679
Average Price

Property Types

DuplexObserved
Single Family ResidentialObserved
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Financing Signal

Recorded mortgage data links this profile to 2 observed lenders. The public page shows a sample; Private Lender Radar is where lender teams can review the full lender history, borrower activity, lender share, and contact workflow.

Sample observed lenders

Showing 2 of 2 observed lender relationships.

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Hansberger KevinKiavi

Who else does Hansberger Kevin fund?

This investor uses 2 observed lenders. See borrower activity, lender market share, and verified contacts in Chicago-Naperville-Elgin, IL-IN.

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Lenders

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Frequently asked questions

What type of real estate does HAPPYHOUSES LLC focus on?

Public records associated with HAPPYHOUSES LLC show activity in Duplex, Single Family Residential across Chicago-Naperville-Elgin, IL-IN.

How many properties are associated with HAPPYHOUSES LLC?

Public records show approximately 31 properties and 31 recorded transactions associated with HAPPYHOUSES LLC in this dataset.

Which lenders has HAPPYHOUSES LLC worked with?

Recent recorded mortgage activity references Hansberger Kevin, Kiavi. Full lender history is available in SFR Analytics.

How recent is HAPPYHOUSES LLC's activity?

Records show activity from 2023 through 2026, with the most recent observed purchase recorded in April 2026.

Where is HAPPYHOUSES LLC active?

Recorded activity is concentrated in Chicago-Naperville-Elgin, IL-IN, with footprint across 1 state and 1 metro in this dataset.

How is associated activity determined?

SFR Analytics matches recorded deeds, mortgages, and assessor records across counties to assemble investor-level activity profiles. Matches use name normalization, address co-occurrence, and entity signals from public records. Profiles are directional - they reflect what is observable in deed-backed data and may not capture every off-record transaction or affiliated entity.

Data sources & methodology

SFR Analytics builds these profiles from recorded deeds, mortgages, assessor records, and entity matching. They are designed for market research: comparing acquisition activity, property focus, market footprint, and financing signals across investors. Coverage varies by county and record type, so counts reflect observed activity in our dataset.