GERARDO S HERNANDEZ PLLC

Flipper active in Phoenix-Mesa-Chandler, AZ. 15 acquisitions, $4.60M tracked volume, $306,870 average price, latest observed Jan 2026.

Phoenix-Mesa-Chandler, AZflipperorganization
0% cash3 observed lenders$306,870 avgLatest Jan 2026

Investor profile snapshot

GERARDO S HERNANDEZ PLLC is a flipper real estate investor active in Phoenix-Mesa-Chandler, AZ with 15 recorded acquisitions totaling approximately $4,603,055. Recorded purchases appear concentrated in a tighter local market footprint. The most recent recorded purchase was in January 2026, so the visible activity window still looks fairly recent from a deed-record standpoint.

Recorded purchases skew toward Condo, Single Family Residential, and Triplex. Average observed purchase price sits near $306,870, which reads as mid-market acquisition pricing. Behavioral signals point to flip-oriented behavior and frequent private-lender financing within the recorded deed activity.

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Observed window
October 2024 to January 2026

Roughly 15 months of recorded buying activity

Latest recorded purchase
January 2026

Recent enough to suggest the profile is still active

Market footprint
1 state / 1 metro

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
TriplexObserved
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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.

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Showing 3 of 3 observed lender relationships.

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42 Solutions LLCCapital Fund IKiavi

Who else does 42 Solutions LLC fund?

This investor uses 3 observed lenders. See borrower activity, lender market share, and verified contacts in Phoenix-Mesa-Chandler, AZ.

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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 GERARDO S HERNANDEZ PLLC focus on?

Public records associated with GERARDO S HERNANDEZ PLLC show activity in Condo, Single Family Residential, Triplex across Phoenix-Mesa-Chandler, AZ.

How many properties are associated with GERARDO S HERNANDEZ PLLC?

Public records show approximately 15 properties and 15 recorded transactions associated with GERARDO S HERNANDEZ PLLC in this dataset.

Which lenders has GERARDO S HERNANDEZ PLLC worked with?

Recent recorded mortgage activity references 42 Solutions LLC, Capital Fund I, Kiavi. Full lender history is available in SFR Analytics.

How recent is GERARDO S HERNANDEZ PLLC's activity?

Records show activity from 2024 through 2026, with the most recent observed purchase recorded in January 2026.

Where is GERARDO S HERNANDEZ PLLC active?

Recorded activity is concentrated in Phoenix-Mesa-Chandler, AZ, 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.