SITTON PRETTY INC

Flipper active in Pensacola-Ferry Pass-Brent, FL. 11 acquisitions, $5.68M tracked volume, $516,273 average price, latest observed Feb 2026.

Pensacola-Ferry Pass-Brent, FLflipperorganization
64% cash2 observed lenders$516,273 avgLatest Feb 2026

Investor profile snapshot

SITTON PRETTY INC is a flipper real estate investor active in Pensacola-Ferry Pass-Brent, FL with 11 recorded acquisitions totaling approximately $5,679,000. Recorded purchases appear concentrated in a tighter local market footprint. The most recent recorded purchase was in February 2026, so the visible activity window still looks fairly recent from a deed-record standpoint.

Recorded purchases skew toward Single Family Residential and Vacant Land. Average observed purchase price sits near $516,273, which reads as upper-mid-market acquisition pricing. Behavioral signals point to flip-oriented behavior, cash-heavy execution, and periodic private-lender usage within the recorded deed activity.

Observed window
May 2022 to February 2026

About 4 years of observed acquisition activity

Latest recorded purchase
February 2026

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
Flip-oriented

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

11
Transactions
10
Properties
$5.68M
Total Volume
$516,273
Average Price

Property Types

Single Family ResidentialObserved
Vacant LandObserved
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Financing Signal

Recorded mortgage data links this profile to 2 observed lenders. The public page shows a sample; Private Lender Radar is where lender teams can review the full lender history, borrower activity, lender share, and contact workflow.

Sample observed lenders

Showing 2 of 2 observed lender relationships.

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Churchill Funding I LLCLENDYX LLC

Who else does Churchill Funding I LLC fund?

This investor uses 2 observed lenders. See borrower activity, lender market share, and verified contacts in Pensacola-Ferry Pass-Brent, FL.

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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 SITTON PRETTY INC focus on?

Public records associated with SITTON PRETTY INC show activity in Single Family Residential, Vacant Land across Pensacola-Ferry Pass-Brent, FL.

How many properties are associated with SITTON PRETTY INC?

Public records show approximately 10 properties and 11 recorded transactions associated with SITTON PRETTY INC in this dataset.

Which lenders has SITTON PRETTY INC worked with?

Recent recorded mortgage activity references Churchill Funding I LLC, LENDYX LLC. Full lender history is available in SFR Analytics.

How recent is SITTON PRETTY INC's activity?

Records show activity from 2022 through 2026, with the most recent observed purchase recorded in February 2026.

Where is SITTON PRETTY INC active?

Recorded activity is concentrated in Pensacola-Ferry Pass-Brent, FL, 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.