TCR HOLDINGS I LLC

Flipper active in Los Angeles-Long Beach-Anaheim, CA. 11 acquisitions, $11.3M tracked volume, $1.02M average price, latest observed Jul 2022.

Los Angeles-Long Beach-Anaheim, CAflipperorganization
18% cash2 observed lenders$1.02M avgLatest Jul 2022

Investor profile snapshot

TCR HOLDINGS I LLC is a flipper real estate investor active in Los Angeles-Long Beach-Anaheim, CA with 11 recorded acquisitions totaling approximately $11,270,000. 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 2022, so the visible activity window still looks more historical from a deed-record standpoint.

Recorded purchases skew toward Single Family Residential. Average observed purchase price sits near $1,024,545, which reads as higher-priced acquisitions in this dataset. Behavioral signals point to flip-oriented behavior and frequent private-lender financing within the recorded deed activity.

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Observed window
March 2022 to July 2022

A relatively short observed acquisition window so far

Latest recorded purchase
July 2022

Older recency, so current acquisition pace may be slower than lifetime totals imply

Market footprint
1 state / 2 metros

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.

Property Types

Single Family ResidentialObserved type
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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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KiaviPrideco Loans INC

Who else does Kiavi fund?

This investor uses 2 observed lenders. See borrower activity, lender market share, and verified contacts in Los Angeles-Long Beach-Anaheim, CA.

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Lenders

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Wholesalers & flippers

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Data teams

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Frequently asked questions

What type of real estate does TCR HOLDINGS I LLC focus on?

Public records associated with TCR HOLDINGS I LLC show activity in Single Family Residential across Los Angeles-Long Beach-Anaheim, CA.

How many properties are associated with TCR HOLDINGS I LLC?

Public records show approximately 11 properties and 11 recorded transactions associated with TCR HOLDINGS I LLC in this dataset.

Which lenders has TCR HOLDINGS I LLC worked with?

Recent recorded mortgage activity references Kiavi, Prideco Loans INC. Full lender history is available in SFR Analytics.

How recent is TCR HOLDINGS I LLC's activity?

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

Where is TCR HOLDINGS I LLC active?

Recorded activity is concentrated in Los Angeles-Long Beach-Anaheim, CA, 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.