TNT ENTERPRISES LLLP

Cash-heavy investor in Greeley, CO. 8 acquisitions, $2.52M tracked volume, $315,000 average price, latest observed Mar 2024.

Greeley, CObuy-and-holdorganization
100% cashNo observed lender$315,000 avgLatest Mar 2024

Investor profile snapshot

TNT ENTERPRISES LLLP is a buy-and-hold real estate investor active in Greeley, CO with 8 recorded acquisitions totaling approximately $2,520,000. Recorded purchases appear concentrated in a tighter local market footprint. The most recent recorded purchase was in March 2024, so the visible activity window still looks more historical from a deed-record standpoint.

Recorded purchases skew toward Duplex and Single Family Residential. Average observed purchase price sits near $315,000, which reads as mid-market acquisition pricing. Behavioral signals point to cash-heavy execution within the recorded deed activity.

Observed window
January 2022 to March 2024

About 2 years of observed acquisition activity

Latest recorded purchase
March 2024

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

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

8
Transactions
8
Properties
$2.52M
Total Volume
$315,000
Average Price

Property Types

DuplexObserved
Single Family ResidentialObserved
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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 Greeley, CO

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 Greeley, CO.

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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 TNT ENTERPRISES LLLP focus on?

Public records associated with TNT ENTERPRISES LLLP show activity in Duplex, Single Family Residential across Greeley, CO.

How many properties are associated with TNT ENTERPRISES LLLP?

Public records show approximately 8 properties and 8 recorded transactions associated with TNT ENTERPRISES LLLP in this dataset.

Which lenders has TNT ENTERPRISES LLLP worked with?

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

How recent is TNT ENTERPRISES LLLP's activity?

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

Where is TNT ENTERPRISES LLLP active?

Recorded activity is concentrated in Greeley, CO, 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.