RIVER BEND ESTATE LLC

Cash-heavy investor in Montgomery, AL. 4 acquisitions, $1.99M tracked volume, $498,000 average price, latest observed Oct 2025.

Montgomery, ALbuy-and-holdorganization
100% cashNo observed lender$498,000 avgLatest Oct 2025

Investor profile snapshot

RIVER BEND ESTATE LLC is a buy-and-hold real estate investor active in Montgomery, AL with 4 recorded acquisitions totaling approximately $1,992,000. 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 October 2025, so the visible activity window still looks fairly recent from a deed-record standpoint.

Recorded purchases skew toward Single Family Residential and Vacant Land. Average observed purchase price sits near $498,000, which reads as upper-mid-market acquisition pricing. Behavioral signals point to cash-heavy execution within the recorded deed activity.

Observed window
October 2023 to October 2025

About 2 years of observed acquisition activity

Latest recorded purchase
October 2025

Still fairly recent, even if buying pace may be uneven

Market footprint
1 state / 2 metros

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.

Transaction Summary

4
Transactions
4
Properties
$1.99M
Total Volume
$498,000
Average Price

Property Types

Single Family ResidentialObserved
Vacant LandObserved
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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

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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 Montgomery, AL.

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Frequently asked questions

What type of real estate does RIVER BEND ESTATE LLC focus on?

Public records associated with RIVER BEND ESTATE LLC show activity in Single Family Residential, Vacant Land across Montgomery, AL.

How many properties are associated with RIVER BEND ESTATE LLC?

Public records show approximately 4 properties and 4 recorded transactions associated with RIVER BEND ESTATE LLC in this dataset.

Which lenders has RIVER BEND ESTATE LLC worked with?

Recorded mortgage data linking RIVER BEND ESTATE LLC to specific lenders is limited in this dataset. Cash purchases or out-of-record financing may explain gaps.

How recent is RIVER BEND ESTATE LLC's activity?

Records show activity from 2023 through 2025, with the most recent observed purchase recorded in October 2025.

Where is RIVER BEND ESTATE LLC active?

Recorded activity is concentrated in Montgomery, AL, 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.