SPECTRUM TIDE LLC

Cash-heavy investor in Tuscaloosa, AL. 29 acquisitions, $26.4M tracked volume, $910,331 average price, latest observed Sep 2022.

Tuscaloosa, ALbuy-and-holdorganization
97% cashNo observed lender$910,331 avgLatest Sep 2022

Investor profile snapshot

SPECTRUM TIDE LLC is a buy-and-hold real estate investor active in Tuscaloosa, AL with 29 recorded acquisitions totaling approximately $26,399,600. Recorded purchases appear concentrated in a tighter local market footprint. The most recent recorded purchase was in September 2022, so the visible activity window still looks more historical from a deed-record standpoint.

Recorded purchases skew toward Condo and Single Family Residential. Average observed purchase price sits near $910,331, which reads as higher-priced acquisitions in this dataset. Behavioral signals point to cash-heavy execution within the recorded deed activity.

Observed window
May 2022 to September 2022

A relatively short observed acquisition window so far

Latest recorded purchase
September 2022

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

29
Transactions
27
Properties
$26.4M
Total Volume
$910,331
Average Price

Property Types

CondoObserved
Single Family ResidentialObserved
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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
97%
Observed lenders
0

Find cash-heavy borrower prospects in Tuscaloosa, 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 Tuscaloosa, AL.

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Lenders

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Wholesalers & flippers

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Data teams

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Frequently asked questions

What type of real estate does SPECTRUM TIDE LLC focus on?

Public records associated with SPECTRUM TIDE LLC show activity in Condo, Single Family Residential across Tuscaloosa, AL.

How many properties are associated with SPECTRUM TIDE LLC?

Public records show approximately 27 properties and 29 recorded transactions associated with SPECTRUM TIDE LLC in this dataset.

Which lenders has SPECTRUM TIDE LLC worked with?

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

How recent is SPECTRUM TIDE LLC's activity?

Records show activity in 2022, with the most recent observed purchase recorded in September 2022.

Where is SPECTRUM TIDE LLC active?

Recorded activity is concentrated in Tuscaloosa, AL, with footprint across 1 state and 1 metro 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.