SVW HOME LLC

Flipper active in San Francisco-Oakland-Fremont, CA. 6 acquisitions, $6.34M tracked volume, $1.06M average price, latest observed Mar 2026.

San Francisco-Oakland-Fremont, CAflipperorganization
0% cash2 observed lenders$1.06M avgLatest Mar 2026

Investor profile snapshot

SVW HOME LLC is a flipper real estate investor active in San Francisco-Oakland-Fremont, CA with 6 recorded acquisitions totaling approximately $6,339,500. 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 $1,056,583, 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.

Observed window
January 2025 to March 2026

Roughly 14 months of recorded buying 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.

Transaction Summary

6
Transactions
6
Properties
$6.34M
Total Volume
$1.06M
Average Price

Property Types

CondoObserved
Single Family ResidentialObserved
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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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KiaviYouland

Who else does Kiavi fund?

This investor uses 2 observed lenders. See borrower activity, lender market share, and verified contacts in San Francisco-Oakland-Fremont, 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 SVW HOME LLC focus on?

Public records associated with SVW HOME LLC show activity in Condo, Single Family Residential across San Francisco-Oakland-Fremont, CA.

How many properties are associated with SVW HOME LLC?

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

Which lenders has SVW HOME LLC worked with?

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

How recent is SVW HOME LLC's activity?

Records show activity from 2025 through 2026, with the most recent observed purchase recorded in March 2026.

Where is SVW HOME LLC active?

Recorded activity is concentrated in San Francisco-Oakland-Fremont, 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.