ONE NOK PROPERTIES LLC

Buy and hold active in Florida. 12 acquisitions, $1.35M tracked volume, $112,542 average price, latest observed May 2024.

Floridabuy-and-holdorganization
0% cash3 observed lenders$112,542 avgLatest May 2024

Investor profile snapshot

ONE NOK PROPERTIES LLC is a buy-and-hold real estate investor active in FL with 12 recorded acquisitions totaling approximately $1,350,500. Recorded purchases span 2 metros inside the same state footprint, which suggests a broader local-to-regional buy box. The most recent recorded purchase was in May 2024, so the visible activity window still looks more historical from a deed-record standpoint.

Recorded purchases skew toward Single Family Residential. Average observed purchase price sits near $112,542, which reads as entry-level to lower-middle price points. Behavioral signals point to frequent private-lender financing within the recorded deed activity.

Observed window
May 2022 to May 2024

About 2 years of observed acquisition activity

Latest recorded purchase
May 2024

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

Market footprint
1 state / 2 metros

Activity appears concentrated in a narrower local market 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.

Transaction Summary

12
Transactions
12
Properties
$1.35M
Total Volume
$112,542
Average Price

Property Types

Single Family ResidentialObserved type
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Financing Signal

Recorded mortgage data links this profile to 3 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 3 of 3 observed lender relationships.

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Boyd Loan Funding I LLCIciavi Funding INCKiavi

Who else does Boyd Loan Funding I LLC fund?

This investor uses 3 observed lenders. See borrower activity, lender market share, and verified contacts 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 ONE NOK PROPERTIES LLC focus on?

Public records associated with ONE NOK PROPERTIES LLC show activity in Single Family Residential across Florida.

How many properties are associated with ONE NOK PROPERTIES LLC?

Public records show approximately 12 properties and 12 recorded transactions associated with ONE NOK PROPERTIES LLC in this dataset.

Which lenders has ONE NOK PROPERTIES LLC worked with?

Recent recorded mortgage activity references Boyd Loan Funding I LLC, Iciavi Funding INC, Kiavi. Full lender history is available in SFR Analytics.

How recent is ONE NOK PROPERTIES LLC's activity?

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

Where is ONE NOK PROPERTIES LLC active?

Recorded activity is concentrated in Florida, with footprint across 1 state and 2 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.