FIT HOME BUYERS LLC

Buy and hold active in Virginia Beach-Chesapeake-Norfolk, VA-NC. 6 acquisitions, $544,422 tracked volume, $90,737 average price, latest observed Jul 2025.

Virginia Beach-Chesapeake-Norfolk, VA-NCbuy-and-holdorganization
50% cash-tagged3 observed lenders$90,737 avgLatest Jul 2025

Investor profile snapshot

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FIT HOME BUYERS LLC is a buy-and-hold real estate investor active in Virginia Beach-Chesapeake-Norfolk, VA-NC with 6 recorded acquisitions totaling approximately $544,422. Recorded purchases span 2 metros inside the same state footprint, which suggests a broader local-to-regional buy box. The most recent recorded purchase was in July 2025, so the visible activity window still looks fairly recent from a deed-record standpoint.

Recorded purchases skew toward Single Family Residential and Townhouse. Average observed purchase price sits near $90,737, which reads as entry-level to lower-middle price points. Behavioral signals point to cash-heavy execution and frequent private-lender financing within the recorded deed activity.

Observed window
January 2022 to July 2025

About 4 years of observed acquisition activity

Latest recorded purchase
July 2025

Still fairly recent, even if buying pace may be uneven

Market footprint
1 state / 2 metros

Activity appears concentrated in a narrower local market footprint

Strategy read
Cash-heavy

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.

Financing Signal

Recorded mortgage data links this profile to 3 observed lenders. This public page shows high-confidence labels when available; Private Lender Radar is where lender teams can review the full lender history, borrower activity, lender share, and contact workflow.

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Showing 3 of 3 observed lender relationships.

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Who else does Cr Assets LLC fund?

This investor uses 3 observed lenders. See borrower activity, lender market share, and verified contacts in Virginia Beach-Chesapeake-Norfolk, VA-NC.

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Frequently asked questions

What type of real estate does FIT HOME BUYERS LLC focus on?

Public records associated with FIT HOME BUYERS LLC show activity in Single Family Residential, Townhouse across Virginia Beach-Chesapeake-Norfolk, VA-NC.

How many properties are associated with FIT HOME BUYERS LLC?

Public records show approximately 6 properties and 6 recorded transactions associated with FIT HOME BUYERS LLC in this dataset.

Which lenders has FIT HOME BUYERS LLC worked with?

Recent recorded mortgage activity references Cr Assets LLC, Fortuna Finance LLC, Richardson John. Full lender history is available in SFR Analytics.

How recent is FIT HOME BUYERS LLC's activity?

Records show activity from 2022 through 2025, with the most recent observed purchase recorded in July 2025.

Where is FIT HOME BUYERS LLC active?

Recorded activity is concentrated in Virginia Beach-Chesapeake-Norfolk, VA-NC, with footprint across 1 state and 2 metros 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.