SPRINGS ESTATES LLC

Cash-heavy investor in Detroit-Warren-Dearborn, MI. 9 acquisitions, $60,401 tracked volume, $6,711 average price, latest observed Nov 2022.

Detroit-Warren-Dearborn, MIbuy-and-holdorganization
100% cashNo observed lender$6,711 avgLatest Nov 2022

Investor profile snapshot

SPRINGS ESTATES LLC is a buy-and-hold real estate investor active in Detroit-Warren-Dearborn, MI with 9 recorded acquisitions totaling approximately $60,401. Recorded purchases appear concentrated in a tighter local market footprint. The most recent recorded purchase was in November 2022, 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 $6,711, which reads as entry-level to lower-middle price points. Behavioral signals point to cash-heavy execution within the recorded deed activity.

Observed window
November 2022 to November 2022

A relatively short observed acquisition window so far

Latest recorded purchase
November 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

9
Transactions
9
Properties
$60,401
Total Volume
$6,711
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 Detroit-Warren-Dearborn, MI.

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Frequently asked questions

What type of real estate does SPRINGS ESTATES LLC focus on?

Public records associated with SPRINGS ESTATES LLC show activity in Single Family Residential, Vacant Land across Detroit-Warren-Dearborn, MI.

How many properties are associated with SPRINGS ESTATES LLC?

Public records show approximately 9 properties and 9 recorded transactions associated with SPRINGS ESTATES LLC in this dataset.

Which lenders has SPRINGS ESTATES LLC worked with?

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

How recent is SPRINGS ESTATES LLC's activity?

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

Where is SPRINGS ESTATES LLC active?

Recorded activity is concentrated in Detroit-Warren-Dearborn, MI, 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.