GOODWYN HOLDINGS LLC

Cash-heavy investor in Montgomery, AL. 6 acquisitions, $1.40M tracked volume, $232,500 average price, latest observed Oct 2024.

Montgomery, ALbuy-and-holdorganization
100% cashNo observed lender$232,500 avgLatest Oct 2024

Investor profile snapshot

GOODWYN HOLDINGS LLC is a buy-and-hold real estate investor active in Montgomery, AL with 6 recorded acquisitions totaling approximately $1,395,000. 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 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 $232,500, which reads as mid-market acquisition pricing. Behavioral signals point to cash-heavy execution within the recorded deed activity.

Observed window
July 2023 to October 2024

Roughly 15 months of recorded buying activity

Latest recorded purchase
October 2024

Older recency, so current acquisition pace may be slower than lifetime totals imply

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

6
Transactions
6
Properties
$1.40M
Total Volume
$232,500
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 GOODWYN HOLDINGS LLC focus on?

Public records associated with GOODWYN HOLDINGS LLC show activity in Single Family Residential, Vacant Land across Montgomery, AL.

How many properties are associated with GOODWYN HOLDINGS LLC?

Public records show approximately 6 properties and 6 recorded transactions associated with GOODWYN HOLDINGS LLC in this dataset.

Which lenders has GOODWYN HOLDINGS LLC worked with?

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

How recent is GOODWYN HOLDINGS LLC's activity?

Records show activity from 2023 through 2024, with the most recent observed purchase recorded in October 2024.

Where is GOODWYN HOLDINGS 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.