MTT SFR LLC

Flipper active in Indianapolis-Carmel-Greenwood, IN. 12 acquisitions, $2.01M tracked volume, $167,222 average price, latest observed Aug 2025.

Indianapolis-Carmel-Greenwood, INflipperorganization
0% cash2 observed lenders$167,222 avgLatest Aug 2025

Investor profile snapshot

MTT SFR LLC is a flipper real estate investor active in Indianapolis-Carmel-Greenwood, IN with 12 recorded acquisitions totaling approximately $2,006,664. 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 Condo and Single Family Residential. Average observed purchase price sits near $167,222, which reads as entry-level to lower-middle price points. Behavioral signals point to flip-oriented behavior and frequent private-lender financing within the recorded deed activity.

Observed window
May 2024 to August 2025

Roughly 15 months of recorded buying 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
Flip-oriented

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

12
Transactions
12
Properties
$2.01M
Total Volume
$167,222
Average Price

Property Types

CondoObserved
Single Family ResidentialObserved
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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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KiaviRCN Capital

Who else does Kiavi fund?

This investor uses 2 observed lenders. See borrower activity, lender market share, and verified contacts in Indianapolis-Carmel-Greenwood, 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 MTT SFR LLC focus on?

Public records associated with MTT SFR LLC show activity in Condo, Single Family Residential across Indianapolis-Carmel-Greenwood, IN.

How many properties are associated with MTT SFR LLC?

Public records show approximately 12 properties and 12 recorded transactions associated with MTT SFR LLC in this dataset.

Which lenders has MTT SFR LLC worked with?

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

How recent is MTT SFR LLC's activity?

Records show activity from 2024 through 2025, with the most recent observed purchase recorded in August 2025.

Where is MTT SFR LLC active?

Recorded activity is concentrated in Indianapolis-Carmel-Greenwood, IN, 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.