IMAP ACQ LLC

Multi entity active in Dallas-Fort Worth-Arlington, TX. 28 acquisitions, $8.00M tracked volume, $285,602 average price, latest observed Jul 2024.

Dallas-Fort Worth-Arlington, TXmulti-entityorganization
14% cash-tagged4 observed lenders$285,602 avgLatest Jul 2024

Investor profile snapshot

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IMAP ACQ LLC is a multi-entity real estate investor active in Dallas-Fort Worth-Arlington, TX with 28 recorded acquisitions totaling approximately $7,996,845. Recorded purchases span 8 metros inside the same state footprint, which suggests a broader local-to-regional buy box. The most recent recorded purchase was in July 2024, so the visible activity window still looks more historical from a deed-record standpoint.

Recorded purchases skew toward Condo, Single Family Residential, and Vacant Land. Average observed purchase price sits near $285,602, which reads as mid-market acquisition pricing. Behavioral signals point to a noticeable resale or short-hold component and frequent private-lender financing within the recorded deed activity.

Observed window
February 2022 to July 2024

About 2 years of observed acquisition activity

Latest recorded purchase
July 2024

Older recency, so current acquisition pace may be slower than lifetime totals imply

Market footprint
1 state / 8 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.

Financing Signal

Recorded mortgage data links this profile to 4 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 4 observed lender relationships.

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Who else does Bella Vista Funds LP fund?

This investor uses 4 observed lenders. See borrower activity, lender market share, and verified contacts in Dallas-Fort Worth-Arlington, TX.

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Lenders

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Wholesalers & flippers

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Frequently asked questions

What type of real estate does IMAP ACQ LLC focus on?

Public records associated with IMAP ACQ LLC show activity in Condo, Single Family Residential, Vacant Land across Dallas-Fort Worth-Arlington, TX.

How many properties are associated with IMAP ACQ LLC?

Public records show approximately 28 properties and 28 recorded transactions associated with IMAP ACQ LLC in this dataset.

Which lenders has IMAP ACQ LLC worked with?

Recent recorded mortgage activity references Bella Vista Funds LP, Del Roy Funds LP, Goat Funding LLC. Full lender history is available in SFR Analytics.

How recent is IMAP ACQ LLC's activity?

Records show activity from 2022 through 2024, with the most recent observed purchase recorded in July 2024.

Where is IMAP ACQ LLC active?

Recorded activity is concentrated in Dallas-Fort Worth-Arlington, TX, with footprint across 1 state and 8 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.