PEREZ-ROSILLO LUIS MANUEL

Cash-heavy investor in Lubbock, TX. 84 acquisitions, $21.8M tracked volume, $259,974 average price, latest observed May 2022.

Lubbock, TXbuy-and-holdperson
100% cash-taggedLender data limited$259,974 avgLatest May 2022

Investor profile snapshot

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PEREZ-ROSILLO LUIS MANUEL is a buy-and-hold real estate investor active in Lubbock, TX with 84 recorded acquisitions totaling approximately $21,837,816. Recorded purchases appear concentrated in a tighter local market footprint. The most recent recorded purchase was in May 2022, so the visible activity window still looks more historical from a deed-record standpoint.

Recorded purchases skew toward Single Family Residential. Average observed purchase price sits near $259,974, which reads as mid-market acquisition pricing. Behavioral signals point to cash-heavy execution within the recorded deed activity.

Observed window
May 2022 to May 2022

A relatively short observed acquisition window so far

Latest recorded purchase
May 2022

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
100%
Observed lenders
0

Find cash-heavy borrower prospects in Lubbock, TX

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 Lubbock, TX.

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Frequently asked questions

What type of real estate does PEREZ-ROSILLO LUIS MANUEL focus on?

Public records associated with PEREZ-ROSILLO LUIS MANUEL show activity in Single Family Residential across Lubbock, TX.

How many properties are associated with PEREZ-ROSILLO LUIS MANUEL?

Public records show approximately 84 properties and 84 recorded transactions associated with PEREZ-ROSILLO LUIS MANUEL in this dataset.

Which lenders has PEREZ-ROSILLO LUIS MANUEL worked with?

Recorded mortgage data linking PEREZ-ROSILLO LUIS MANUEL to specific lenders is limited in this dataset. Cash purchases or out-of-record financing may explain gaps.

How recent is PEREZ-ROSILLO LUIS MANUEL's activity?

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

What entities is PEREZ-ROSILLO LUIS MANUEL associated with?

PEREZ-ROSILLO LUIS MANUEL is associated with corporate or trust entities used to acquire property. Entity-resolution depth varies by state and recording office; SFR Analytics surfaces matched entities where the underlying public records make the relationship inferable.

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.