Investor Profile - WA
Laila Mitha
Laila Mitha is a real estate investor and operator based in Seattle-Tacoma, WA. Public filings show activity across 2 properties held through 1 holding companies. Recent mortgage relationships include JPMorgan Chase Bank.
Laila's Activity
As of June 2026, public records show approximately $500k in recorded mortgage exposure linked to this investor across at least 1 mortgage filings and 2 properties held through 1 holding companies. Activity appears concentrated in residential assets recorded between 2016 and 2020.
Associated People
Primary Geography
Seattle-Tacoma, WA
ZIP codes: 98201 and 98382
Most activity in SEQUIM and EVERETT.
Property Type Breakdown
Associated Entities (1)
WA · 55 properties · 1 mortgage
Mortgages (1)
Top Lenders
| Date | Amount | Status | Lender | Borrower | Address |
|---|---|---|---|---|---|
| 07/27/2017 | $500k | Open | JPMorgan Chase Bank | CEDAR PROPERTIES LLC | 1622 CHESTNUT ST, EVERETT, WA 98201 |
Owned Properties (2)
| Address | Deeded owner | Status | Consideration |
|---|---|---|---|
| 1622 CHESTNUT ST, EVERETT, WA 98201 | CEDAR PROPERTIES LLC | Owns - 56.4 yrs | $0 |
| 551 JONES FARM RD, SEQUIM, WA 98382 | CEDAR PROPERTIES LLC | Sold | $0 |
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 Laila Mitha associated with?
Laila Mitha is associated with 1 entity based on extracted signatures from public records. Key entities include CEDAR PROPERTIES LLC.
How many properties are associated with this investor?
At least 2 properties are associated with Laila Mitha and the entities they control, based on signatures extracted from recorded documents connecting Laila Mitha to the entities.
Which lenders has this investor worked with?
Recent mortgage activity references JPMorgan Chase Bank, indicating a mix of lending relationships.
How recent is their activity?
Records show activity from 2016 through 2020, with the most recent mortgage recorded in 2017.
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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