Investor Profile - WA
Geetika Nagpal
Geetika Nagpal is a real estate investor and operator based in Seattle-Tacoma, WA. Public filings show activity across 4 properties held through 4 holding companies.
Geetika'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 4 properties held through 4 holding companies. Activity appears concentrated in residential assets recorded between 2024 and 2024.
Associated People
Primary Geography
Seattle-Tacoma, WA
ZIP codes: 98033 and 98052
Most activity in REDMOND and KIRKLAND.
Property Type Breakdown
Associated Entities (4)
WA · 1 property · 0 mortgages
WA · 0 properties · 0 mortgages
+2 more entities not shown
Mortgages (0)
| Date | Amount | Status | Lender | Borrower | Address |
|---|
Owned Properties (4)
| Address | Deeded owner | Status | Consideration |
|---|---|---|---|
| 6123 122ND AVE NE, KIRKLAND, WA 98033 | SOUTH ROSE HILL 6123 LLC | Sold | $313 |
| 15335 64TH CT, REDMOND, WA 98052 | GRASS LAWN 15335 LLC | Owns - 2.8 yrs | $313 |
+2 more not shown
FAQ
What type of real estate does this investor focus on?
Associated mortgages and deeds show activity in residential properties across Seattle-Tacoma, WA.
What companies is Geetika Nagpal associated with?
Geetika Nagpal is associated with 4 entities based on extracted signatures from public records. Key entities include NORTH ROSE HILL 9713 LLC, SOUTH ROSE HILL 6123 LLC, EDUCATION HILL 9709 LLC, and GRASS LAWN 15335 LLC.
How many properties are associated with this investor?
At least 4 properties are associated with Geetika Nagpal and the entities they control, based on signatures extracted from recorded documents connecting Geetika Nagpal 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 2024 through 2024, 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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