FEROCITY ASSETS LLC

Multi entity active in Atlanta-Sandy Springs-Roswell, GA. 160 acquisitions, $32.0M tracked volume, $200,085 average price, latest observed Apr 2026.

Atlanta-Sandy Springs-Roswell, GAmulti-entityorganization
68% cash-tagged9 observed lenders$200,085 avgLatest Apr 2026

Investor profile snapshot

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FEROCITY ASSETS LLC is a multi-entity real estate investor active in Atlanta-Sandy Springs-Roswell, GA with 160 recorded acquisitions totaling approximately $32,013,563. Recorded purchases span 10 metros inside the same state footprint, which suggests a broader local-to-regional buy box. The most recent recorded purchase was in April 2026, so the visible activity window still looks fairly recent from a deed-record standpoint.

Recorded purchases skew toward Condo, Duplex, and Fourplex. Average observed purchase price sits near $200,085, which reads as mid-market acquisition pricing. Behavioral signals point to a noticeable resale or short-hold component, cash-heavy execution, and frequent private-lender financing within the recorded deed activity.

Observed window
January 2022 to April 2026

About 4 years of observed acquisition activity

Latest recorded purchase
April 2026

Recent enough to suggest the profile is still active

Market footprint
1 state / 10 metros

Spread across several metros inside the same state 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

Recorded mortgage data links this profile to 9 observed lenders. This public page shows high-confidence labels when available; Private Lender Radar is where lender teams can review the full lender history, borrower activity, lender share, and contact workflow.

High-confidence lender labels

Showing 3 of 9 observed lender relationships.

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Who else does Alize Denis fund?

This investor uses 9 observed lenders. See borrower activity, lender market share, and verified contacts in Atlanta-Sandy Springs-Roswell, GA.

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Lenders

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Wholesalers & flippers

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Frequently asked questions

What type of real estate does FEROCITY ASSETS LLC focus on?

Public records associated with FEROCITY ASSETS LLC show activity in Condo, Duplex, Fourplex across Atlanta-Sandy Springs-Roswell, GA.

How many properties are associated with FEROCITY ASSETS LLC?

Public records show approximately 160 properties and 160 recorded transactions associated with FEROCITY ASSETS LLC in this dataset.

Which lenders has FEROCITY ASSETS LLC worked with?

Recent recorded mortgage activity references Alize Denis, Aral Properties, Concave Finance. Full lender history is available in SFR Analytics.

How recent is FEROCITY ASSETS LLC's activity?

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

Where is FEROCITY ASSETS LLC active?

Recorded activity is concentrated in Atlanta-Sandy Springs-Roswell, GA, with footprint across 1 state and 10 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.