DAVID ARANOFF LLC

Multi entity active in Kokomo, IN. 5 acquisitions, $733,827 tracked volume, $146,765 average price, latest observed Apr 2026.

Kokomo, INmulti-entityorganization
0% cash2 observed lenders$146,765 avgLatest Apr 2026

Investor profile snapshot

DAVID ARANOFF LLC is a multi-entity real estate investor active in Kokomo, IN with 5 recorded acquisitions totaling approximately $733,827. Recorded purchases span 3 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 Duplex, Single Family Residential, and Triplex. Average observed purchase price sits near $146,765, which reads as entry-level to lower-middle price points. Behavioral signals point to frequent private-lender financing within the recorded deed activity.

Observed window
March 2025 to April 2026

Roughly 13 months of recorded buying activity

Latest recorded purchase
April 2026

Recent enough to suggest the profile is still active

Market footprint
1 state / 3 metros

Spread across several metros inside the same state footprint

Strategy read
Private-lender active

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

5
Transactions
5
Properties
$733,827
Total Volume
$146,765
Average Price

Property Types

DuplexObserved
Single Family ResidentialObserved
TriplexObserved
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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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RCN CapitalSaje Group LLC

Who else does RCN Capital fund?

This investor uses 2 observed lenders. See borrower activity, lender market share, and verified contacts in Kokomo, IN.

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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 DAVID ARANOFF LLC focus on?

Public records associated with DAVID ARANOFF LLC show activity in Duplex, Single Family Residential, Triplex across Kokomo, IN.

How many properties are associated with DAVID ARANOFF LLC?

Public records show approximately 5 properties and 5 recorded transactions associated with DAVID ARANOFF LLC in this dataset.

Which lenders has DAVID ARANOFF LLC worked with?

Recent recorded mortgage activity references RCN Capital, Saje Group LLC. Full lender history is available in SFR Analytics.

How recent is DAVID ARANOFF LLC's activity?

Records show activity from 2025 through 2026, with the most recent observed purchase recorded in April 2026.

Where is DAVID ARANOFF LLC active?

Recorded activity is concentrated in Kokomo, IN, with footprint across 1 state and 3 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.