BAY AREA EXECUTIVE RE & DEV GRP

Multi entity active in San Francisco-Oakland-Fremont, CA. 17 acquisitions, $13.8M tracked volume, $813,118 average price, latest observed May 2024.

San Francisco-Oakland-Fremont, CAmulti-entityorganization
71% cash1 observed lender$813,118 avgLatest May 2024

Investor profile snapshot

BAY AREA EXECUTIVE RE & DEV GRP is a multi-entity real estate investor active in San Francisco-Oakland-Fremont, CA with 17 recorded acquisitions totaling approximately $13,823,000. Recorded purchases span 4 metros inside the same state footprint, which suggests a broader local-to-regional buy box. The most recent recorded purchase was in May 2024, so the visible activity window still looks more historical from a deed-record standpoint.

Recorded purchases skew toward Single Family Residential and Triplex. Average observed purchase price sits near $813,118, which reads as higher-priced acquisitions in this dataset. Behavioral signals point to a noticeable resale or short-hold component, cash-heavy execution, and frequent private-lender financing within the recorded deed activity.

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Observed window
July 2022 to May 2024

Roughly 22 months of recorded buying activity

Latest recorded purchase
May 2024

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

Market footprint
1 state / 4 metros

Spread across several metros inside the same state 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.

Property Types

Single Family ResidentialObserved
TriplexObserved
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Financing Signal

Recorded mortgage data links this profile to 1 observed lender. 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.

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Showing 1 of 1 observed lender relationship.

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Kiavi

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Lenders

Build borrower lists around live acquisition signals

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Wholesalers & flippers

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Frequently asked questions

What type of real estate does BAY AREA EXECUTIVE RE & DEV GRP focus on?

Public records associated with BAY AREA EXECUTIVE RE & DEV GRP show activity in Single Family Residential, Triplex across San Francisco-Oakland-Fremont, CA.

How many properties are associated with BAY AREA EXECUTIVE RE & DEV GRP?

Public records show approximately 17 properties and 17 recorded transactions associated with BAY AREA EXECUTIVE RE & DEV GRP in this dataset.

Which lenders has BAY AREA EXECUTIVE RE & DEV GRP worked with?

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

How recent is BAY AREA EXECUTIVE RE & DEV GRP's activity?

Records show activity from 2022 through 2024, with the most recent observed purchase recorded in May 2024.

Where is BAY AREA EXECUTIVE RE & DEV GRP active?

Recorded activity is concentrated in San Francisco-Oakland-Fremont, CA, with footprint across 1 state and 4 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.