GDC/PLC LA VINA VENTURE LP

Cash-heavy investor in Los Angeles-Long Beach-Anaheim, CA. 20 acquisitions, $228.1M tracked volume, $11.4M average price, latest observed Nov 2023.

Los Angeles-Long Beach-Anaheim, CAbuy-and-holdorganization
90% cashNo observed lender$11.4M avgLatest Nov 2023

GDC/PLC LA VINA VENTURE LP is a buy-and-hold real estate investor active in Los Angeles-Long Beach-Anaheim, CA with 20 recorded acquisitions totaling approximately $228,070,000. Recorded purchases appear concentrated in a tighter local market footprint. The most recent recorded purchase was in November 2023, so the visible activity window still looks more historical from a deed-record standpoint.

Recorded purchases skew toward Vacant Land. Average observed purchase price sits near $11,403,500, which reads as higher-priced acquisitions in this dataset. Behavioral signals point to cash-heavy execution within the recorded deed activity.

Observed window
November 2023 to November 2023

A relatively short observed acquisition window so far

Latest recorded purchase
November 2023

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

Market footprint
1 state / 1 metro

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

This profile shows cash-tagged activity without an observed lender in the recorded mortgage data. For lenders, that is not just a missing field; it can point to an active borrower prospect whose financing relationship is not visible in the public-record trail.

Cash-tagged purchases
90%
Observed lenders
0

Find cash-heavy borrower prospects in Los Angeles-Long Beach-Anaheim, CA

No lender relationship is visible in this profile's recorded mortgage data. Cash-heavy investors like this can be borrower-prospecting signals for lenders in Los Angeles-Long Beach-Anaheim, CA.

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Lenders

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Wholesalers & flippers

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Frequently asked questions

What type of real estate does GDC/PLC LA VINA VENTURE LP focus on?

Public records associated with GDC/PLC LA VINA VENTURE LP show activity in Vacant Land across Los Angeles-Long Beach-Anaheim, CA.

How many properties are associated with GDC/PLC LA VINA VENTURE LP?

Public records show approximately 20 properties and 20 recorded transactions associated with GDC/PLC LA VINA VENTURE LP in this dataset.

Which lenders has GDC/PLC LA VINA VENTURE LP worked with?

Recorded mortgage data linking GDC/PLC LA VINA VENTURE LP to specific lenders is limited in this dataset. Cash purchases or out-of-record financing may explain gaps.

How recent is GDC/PLC LA VINA VENTURE LP's activity?

Records show activity in 2023, with the most recent observed purchase recorded in November 2023.

Where is GDC/PLC LA VINA VENTURE LP active?

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