BLUESKY 9 INVS LLC

Flipper active in Tucson, AZ. 23 acquisitions, $6.21M tracked volume, $270,045 average price, latest observed Oct 2023.

Tucson, AZflipperorganization
39% cash2 observed lenders$270,045 avgLatest Oct 2023

Investor profile snapshot

BLUESKY 9 INVS LLC is a flipper real estate investor active in Tucson, AZ with 23 recorded acquisitions totaling approximately $6,211,046. Recorded purchases appear concentrated in a tighter local market footprint. The most recent recorded purchase was in October 2023, 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 $270,045, which reads as mid-market acquisition pricing. Behavioral signals point to a noticeable resale or short-hold component, regular cash buying, and frequent private-lender financing within the recorded deed activity.

Observed window
July 2022 to October 2023

Roughly 15 months of recorded buying activity

Latest recorded purchase
October 2023

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
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

23
Transactions
16
Properties
$6.21M
Total Volume
$270,045
Average Price

Property Types

DuplexObserved
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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Capital Fund IPark Place

Who else does Capital Fund I fund?

This investor uses 2 observed lenders. See borrower activity, lender market share, and verified contacts in Tucson, AZ.

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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 BLUESKY 9 INVS LLC focus on?

Public records associated with BLUESKY 9 INVS LLC show activity in Duplex, Single Family Residential across Tucson, AZ.

How many properties are associated with BLUESKY 9 INVS LLC?

Public records show approximately 16 properties and 23 recorded transactions associated with BLUESKY 9 INVS LLC in this dataset.

Which lenders has BLUESKY 9 INVS LLC worked with?

Recent recorded mortgage activity references Capital Fund I, Park Place. Full lender history is available in SFR Analytics.

How recent is BLUESKY 9 INVS LLC's activity?

Records show activity from 2022 through 2023, with the most recent observed purchase recorded in October 2023.

Where is BLUESKY 9 INVS LLC active?

Recorded activity is concentrated in Tucson, AZ, 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.