Resicap

Cash-heavy investor in Atlanta-Sandy Springs-Roswell, GA. 2,588 acquisitions, $2.4B tracked volume, $917,934 average price, latest observed Feb 2025.

Atlanta-Sandy Springs-Roswell, GAinstitutionalorganization
100% cashNo observed lender10 states$917,934 avgLatest Feb 2025

Resicap is a institutional real estate investor active in Atlanta-Sandy Springs-Roswell, GA with 2588 recorded acquisitions totaling approximately $2,375,614,086. Recorded purchases span 10 states and 25 metros, which suggests this buyer is operating beyond a single neighborhood. The most recent recorded purchase was in February 2025, so the visible activity window still looks fairly recent from a deed-record standpoint.

Recorded purchases skew toward Condo, Duplex, and Single Family Residential. Average observed purchase price sits near $917,934, which reads as higher-priced acquisitions in this dataset. Behavioral signals point to cash-heavy execution and some transactions tagged as institutional within the recorded deed activity.

Observed window
January 2022 to February 2025

About 3 years of observed acquisition activity

Latest recorded purchase
February 2025

Still fairly recent, even if buying pace may be uneven

Market footprint
10 states / 25 metros

Recorded purchases span multiple states, not just a single local pocket

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

This profile shows cash-tagged activity without an observed lender in the recorded mortgage data. For lenders, that is not just a missing field; it can point to an active borrower prospect whose financing relationship is not visible in the public-record trail.

Cash-tagged purchases
100%
Observed lenders
0

Find cash-heavy borrower prospects in Atlanta-Sandy Springs-Roswell, GA

No lender relationship is visible in this profile's recorded mortgage data. Cash-heavy investors like this can be borrower-prospecting signals for lenders in Atlanta-Sandy Springs-Roswell, GA.

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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 Resicap focus on?

Public records associated with Resicap show activity in Condo, Duplex, Single Family Residential across Atlanta-Sandy Springs-Roswell, GA.

How many properties are associated with Resicap?

Public records show approximately 2,538 properties and 2,588 recorded transactions associated with Resicap in this dataset.

Which lenders has Resicap worked with?

Recorded mortgage data linking Resicap to specific lenders is limited in this dataset. Cash purchases or out-of-record financing may explain gaps.

How recent is Resicap's activity?

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

Where is Resicap active?

Recorded activity is concentrated in Atlanta-Sandy Springs-Roswell, GA, with footprint across 10 states and 25 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.