PFA US SILVA LP

Cash-heavy investor in Little Rock-North Little Rock-Conway, AR. 44 acquisitions, $137.5M tracked volume, $3.13M average price, latest observed Jul 2024.

Little Rock-North Little Rock-Conway, ARmulti-entityorganization
100% cashNo observed lender$3.13M avgLatest Jul 2024

PFA US SILVA LP is a multi-entity real estate investor active in Little Rock-North Little Rock-Conway, AR with 44 recorded acquisitions totaling approximately $137,549,753. 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 July 2024, so the visible activity window still looks more historical from a deed-record standpoint.

Recorded purchases skew toward Single Family Residential and Vacant Land. Average observed purchase price sits near $3,126,131, which reads as higher-priced acquisitions in this dataset. Behavioral signals point to cash-heavy execution within the recorded deed activity.

Observed window
July 2024 to July 2024

A relatively short observed acquisition window so far

Latest recorded purchase
July 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.

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 Little Rock-North Little Rock-Conway, AR

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 Little Rock-North Little Rock-Conway, AR.

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Lenders

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Wholesalers & flippers

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Frequently asked questions

What type of real estate does PFA US SILVA LP focus on?

Public records associated with PFA US SILVA LP show activity in Single Family Residential, Vacant Land across Little Rock-North Little Rock-Conway, AR.

How many properties are associated with PFA US SILVA LP?

Public records show approximately 44 properties and 44 recorded transactions associated with PFA US SILVA LP in this dataset.

Which lenders has PFA US SILVA LP worked with?

Recorded mortgage data linking PFA US SILVA LP to specific lenders is limited in this dataset. Cash purchases or out-of-record financing may explain gaps.

How recent is PFA US SILVA LP's activity?

Records show activity in 2024, with the most recent observed purchase recorded in July 2024.

Where is PFA US SILVA LP active?

Recorded activity is concentrated in Little Rock-North Little Rock-Conway, AR, 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.