TUCSON I-BUYER LLC

Buy and hold active in Tucson, AZ. 14 acquisitions, $26.6M tracked volume, $1.90M average price, latest observed Aug 2025.

Tucson, AZbuy-and-holdorganization
50% cash2 observed lenders$1.90M avgLatest Aug 2025

Investor profile snapshot

TUCSON I-BUYER LLC is a buy-and-hold real estate investor active in Tucson, AZ with 14 recorded acquisitions totaling approximately $26,570,000. Recorded purchases appear concentrated in a tighter local market footprint. The most recent recorded purchase was in August 2025, 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 $1,897,857, which reads as higher-priced acquisitions in this dataset. Behavioral signals point to cash-heavy execution and frequent private-lender financing within the recorded deed activity.

Observed window
June 2022 to August 2025

About 3 years of observed acquisition activity

Latest recorded purchase
August 2025

Still fairly recent, even if buying pace may be uneven

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

14
Transactions
14
Properties
$26.6M
Total Volume
$1.90M
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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Dollar Mark LLCPavon Ilene

Who else does Dollar Mark LLC fund?

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

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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 TUCSON I-BUYER LLC focus on?

Public records associated with TUCSON I-BUYER LLC show activity in Duplex, Single Family Residential, Triplex across Tucson, AZ.

How many properties are associated with TUCSON I-BUYER LLC?

Public records show approximately 14 properties and 14 recorded transactions associated with TUCSON I-BUYER LLC in this dataset.

Which lenders has TUCSON I-BUYER LLC worked with?

Recent recorded mortgage activity references Dollar Mark LLC, Pavon Ilene. Full lender history is available in SFR Analytics.

How recent is TUCSON I-BUYER LLC's activity?

Records show activity from 2022 through 2025, with the most recent observed purchase recorded in August 2025.

Where is TUCSON I-BUYER LLC active?

Recorded activity is concentrated in Tucson, AZ, 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.