SCIOTO PROPERTIES SP-16 LLC

Cash-heavy investor in Minneapolis-St. Paul-Bloomington, MN-WI. 8 acquisitions, $11.3M tracked volume, $1.41M average price, latest observed Dec 2025.

Minneapolis-St. Paul-Bloomington, MN-WIbuy-and-holdorganization
100% cash-taggedLender data limited$1.41M avgLatest Dec 2025

Investor profile snapshot

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SCIOTO PROPERTIES SP-16 LLC is a buy-and-hold real estate investor active in Minneapolis-St. Paul-Bloomington, MN-WI with 8 recorded acquisitions totaling approximately $11,264,580. Recorded purchases appear concentrated in a tighter local market footprint. The most recent recorded purchase was in December 2025, so the visible activity window still looks fairly recent from a deed-record standpoint.

Recorded purchases skew toward Single Family Residential. Average observed purchase price sits near $1,408,073, which reads as higher-priced acquisitions in this dataset. Behavioral signals point to cash-heavy execution within the recorded deed activity.

Observed window
August 2023 to December 2025

About 2 years of observed acquisition activity

Latest recorded purchase
December 2025

Recent enough to suggest the profile is still active

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.

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 Minneapolis-St. Paul-Bloomington, MN-WI

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 Minneapolis-St. Paul-Bloomington, MN-WI.

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Wholesalers & flippers

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Frequently asked questions

What type of real estate does SCIOTO PROPERTIES SP-16 LLC focus on?

Public records associated with SCIOTO PROPERTIES SP-16 LLC show activity in Single Family Residential across Minneapolis-St. Paul-Bloomington, MN-WI.

How many properties are associated with SCIOTO PROPERTIES SP-16 LLC?

Public records show approximately 7 properties and 8 recorded transactions associated with SCIOTO PROPERTIES SP-16 LLC in this dataset.

Which lenders has SCIOTO PROPERTIES SP-16 LLC worked with?

Recorded mortgage data linking SCIOTO PROPERTIES SP-16 LLC to specific lenders is limited in this dataset. Cash purchases or out-of-record financing may explain gaps.

How recent is SCIOTO PROPERTIES SP-16 LLC's activity?

Records show activity from 2023 through 2025, with the most recent observed purchase recorded in December 2025.

Where is SCIOTO PROPERTIES SP-16 LLC active?

Recorded activity is concentrated in Minneapolis-St. Paul-Bloomington, MN-WI, 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.