QUEST LAND COMPANY LLC

Cash-heavy investor in Colorado. 11 acquisitions, $670,000 tracked volume, $60,909 average price, latest observed Mar 2024.

Coloradobuy-and-holdorganization
100% cashNo observed lender$60,909 avgLatest Mar 2024

Investor profile snapshot

QUEST LAND COMPANY LLC is a buy-and-hold real estate investor active in CO with 11 recorded acquisitions totaling approximately $670,000. 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 Single Family Residential and Vacant Land. Average observed purchase price sits near $60,909, which reads as entry-level to lower-middle price points. Behavioral signals point to cash-heavy execution within the recorded deed activity.

Observed window
September 2023 to March 2024

Roughly 6 months of recorded buying 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

11
Transactions
11
Properties
$670,000
Total Volume
$60,909
Average Price

Property Types

Single Family ResidentialObserved
Vacant LandObserved
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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

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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 this market.

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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 QUEST LAND COMPANY LLC focus on?

Public records associated with QUEST LAND COMPANY LLC show activity in Single Family Residential, Vacant Land across Colorado.

How many properties are associated with QUEST LAND COMPANY LLC?

Public records show approximately 11 properties and 11 recorded transactions associated with QUEST LAND COMPANY LLC in this dataset.

Which lenders has QUEST LAND COMPANY LLC worked with?

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

How recent is QUEST LAND COMPANY LLC's activity?

Records show activity from 2023 through 2024, with the most recent observed purchase recorded in March 2024.

Where is QUEST LAND COMPANY LLC active?

Recorded activity is concentrated in Colorado, 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.