CRM PROPERTY HOLDINGS

Flipper active in Los Angeles-Long Beach-Anaheim, CA. 8 acquisitions, $11.5M tracked volume, $1.44M average price, latest observed Mar 2026.

Los Angeles-Long Beach-Anaheim, CAflipperorganization
0% cash3 observed lenders$1.44M avgLatest Mar 2026

Investor profile snapshot

CRM PROPERTY HOLDINGS is a flipper real estate investor active in Los Angeles-Long Beach-Anaheim, CA with 8 recorded acquisitions totaling approximately $11,533,500. 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 March 2026, so the visible activity window still looks fairly recent from a deed-record standpoint.

Recorded purchases skew toward Condo and Single Family Residential. Average observed purchase price sits near $1,441,688, 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
January 2023 to March 2026

About 3 years of observed acquisition activity

Latest recorded purchase
March 2026

Recent enough to suggest the profile is still active

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

CondoObserved
Single Family ResidentialObserved
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Financing Signal

Recorded mortgage data links this profile to 3 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 3 of 3 observed lender relationships.

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ConventusKiaviROC Capital

Who else does Conventus fund?

This investor uses 3 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 CRM PROPERTY HOLDINGS focus on?

Public records associated with CRM PROPERTY HOLDINGS show activity in Condo, Single Family Residential across Los Angeles-Long Beach-Anaheim, CA.

How many properties are associated with CRM PROPERTY HOLDINGS?

Public records show approximately 8 properties and 8 recorded transactions associated with CRM PROPERTY HOLDINGS in this dataset.

Which lenders has CRM PROPERTY HOLDINGS worked with?

Recent recorded mortgage activity references Conventus, Kiavi, ROC Capital. Full lender history is available in SFR Analytics.

How recent is CRM PROPERTY HOLDINGS's activity?

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

Where is CRM PROPERTY HOLDINGS 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.