MOORES FARMS

Cash-heavy investor in Montgomery, AL. 12 acquisitions, $15.2M tracked volume, $1.27M average price, latest observed Oct 2023.

Montgomery, ALbuy-and-holdperson
100% cashNo observed lender$1.27M avgLatest Oct 2023

Investor profile snapshot

MOORES FARMS is a buy-and-hold real estate investor active in Montgomery, AL with 12 recorded acquisitions totaling approximately $15,228,000. Recorded purchases appear concentrated in a tighter local market footprint. The most recent recorded purchase was in October 2023, so the visible activity window still looks more historical from a deed-record standpoint.

Recorded purchases skew toward Vacant Land. Average observed purchase price sits near $1,269,000, which reads as higher-priced acquisitions in this dataset. Behavioral signals point to cash-heavy execution within the recorded deed activity.

Observed window
October 2023 to October 2023

A relatively short observed acquisition window so far

Latest recorded purchase
October 2023

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.

Transaction Summary

12
Transactions
12
Properties
$15.2M
Total Volume
$1.27M
Average Price

Property Types

Vacant LandObserved type
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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

Find cash-heavy borrower prospects in Montgomery, AL

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 MOORES FARMS focus on?

Public records associated with MOORES FARMS show activity in Vacant Land across Montgomery, AL.

How many properties are associated with MOORES FARMS?

Public records show approximately 12 properties and 12 recorded transactions associated with MOORES FARMS in this dataset.

Which lenders has MOORES FARMS worked with?

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

How recent is MOORES FARMS's activity?

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

What entities is MOORES FARMS associated with?

MOORES FARMS 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.