TL INVESTMENT

Cash-heavy investor in Montgomery, AL. 10 acquisitions, $80,400 tracked volume, $8,040 average price, latest observed Jun 2023.

Montgomery, ALbuy-and-holdperson
100% cashNo observed lender$8,040 avgLatest Jun 2023

Investor profile snapshot

TL INVESTMENT is a buy-and-hold real estate investor active in Montgomery, AL with 10 recorded acquisitions totaling approximately $80,400. Recorded purchases appear concentrated in a tighter local market footprint. The most recent recorded purchase was in June 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 $8,040, which reads as entry-level to lower-middle price points. Behavioral signals point to cash-heavy execution within the recorded deed activity.

Observed window
February 2022 to June 2023

Roughly 16 months of recorded buying activity

Latest recorded purchase
June 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

10
Transactions
10
Properties
$80,400
Total Volume
$8,040
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 TL INVESTMENT focus on?

Public records associated with TL INVESTMENT show activity in Vacant Land across Montgomery, AL.

How many properties are associated with TL INVESTMENT?

Public records show approximately 10 properties and 10 recorded transactions associated with TL INVESTMENT in this dataset.

Which lenders has TL INVESTMENT worked with?

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

How recent is TL INVESTMENT's activity?

Records show activity from 2022 through 2023, with the most recent observed purchase recorded in June 2023.

What entities is TL INVESTMENT associated with?

TL INVESTMENT 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.