Investor Profile - FL
Pingrong Long
Pingrong Long is a real estate investor and operator based in Miami-Fort Lauderdale, FL. Public filings show activity across 28 properties held through 2 holding companies.
Pingrong's Activity
As of June 2026, public records show approximately $0 in recorded mortgage exposure linked to this investor across at least 0 mortgage filings and 28 properties held through 2 holding companies. Activity appears concentrated in residential and commercial assets recorded between 2019 and 2025.
Associated People
Primary Geography
Miami-Fort Lauderdale, FL
ZIP codes: 33323, 33326, 33441, 33062, and 33064
Most activity in SUNRISE, WESTON, DEERFIELD BEACH, LIGHTHOUSE POINT, and POMPANO BEACH.
Property Type Breakdown
Associated Entities (2)
FL · 3 properties · 0 mortgages
FL · 2 properties · 0 mortgages
Mortgages (0)
| Date | Amount | Status | Lender | Borrower | Address |
|---|
Owned Properties (28)
| Address | Deeded owner | Status | Consideration |
|---|---|---|---|
| 1940 NE 2ND ST, DEERFIELD BEACH, FL 33441 | TAO9999 INC | Owns - 8 mos | $1.2M |
| 1960 NE 4TH ST, DEERFIELD BEACH, FL 33441 | TAO9999 INC | Owns - 16 mos | $1.3M |
+26 more not shown
FAQ
What type of real estate does this investor focus on?
Associated mortgages and deeds show activity in residential, commercial, and vacant properties across Miami-Fort Lauderdale, FL.
What companies is Pingrong Long associated with?
Pingrong Long is associated with 2 entities based on extracted signatures from public records. Key entities include TAO9999 INC and NENGDAXIANG LLC.
How many properties are associated with this investor?
At least 28 properties are associated with Pingrong Long and the entities they control, based on signatures extracted from recorded documents connecting Pingrong Long to the entities.
Which lenders has this investor worked with?
Recent mortgage activity references , indicating a mix of lending relationships.
How recent is their activity?
Records show activity from 2019 through 2025, with the most recent mortgage recorded in 1970.
How is associated activity determined?
Elementix uses AI to extract signatures from recorded documents. These signatures are used to determine the relationships between people and entities. This is a novel approach that goes beyond looking at corporate filings and skip-tracing.
The information displayed on this page is compiled from recorded real estate documents, business filings, and other lawfully available sources. Elementix summarizes and analyzes public record activity related to investment real estate and associated business entities. Any contact indicators shown (such as email domain references or partial phone digits) are provided solely as unverified signals and may be incomplete or outdated.
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