SEGOVIA CRISTINA

Cash-heavy investor in Montgomery, AL. 3 acquisitions, $169,900 tracked volume, $56,633 average price, latest observed Apr 2026.

Montgomery, ALnew-entrantperson
100% cashNo observed lender$56,633 avgLatest Apr 2026

Investor profile snapshot

SEGOVIA CRISTINA is a new-entrant real estate investor active in Montgomery, AL with 3 recorded acquisitions totaling approximately $169,900. Recorded purchases appear concentrated in a tighter local market footprint. The most recent recorded purchase was in April 2026, so the visible activity window still looks fairly recent from a deed-record standpoint.

Recorded purchases skew toward Duplex and Single Family Residential. Average observed purchase price sits near $56,633, which reads as entry-level to lower-middle price points. Behavioral signals point to cash-heavy execution within the recorded deed activity.

Observed window
September 2025 to April 2026

Roughly 7 months of recorded buying activity

Latest recorded purchase
April 2026

Recent enough to suggest the profile is still active

Market footprint
1 state / 1 metro

Activity appears concentrated in a narrower local market footprint

Strategy read
Cash-heavy

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

3
Transactions
3
Properties
$169,900
Total Volume
$56,633
Average Price

Property Types

DuplexObserved
Single Family ResidentialObserved
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Financing Signal

This profile shows cash-tagged activity without an observed lender in the recorded mortgage data. For lenders, that is not just a missing field; it can point to an active borrower prospect whose financing relationship is not visible in the public-record trail.

Cash-tagged purchases
100%
Observed lenders
0

Find cash-heavy borrower prospects in Montgomery, AL

No lender relationship is visible in this profile's recorded mortgage data. Cash-heavy investors like this can be borrower-prospecting signals for lenders in Montgomery, AL.

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Frequently asked questions

What type of real estate does SEGOVIA CRISTINA focus on?

Public records associated with SEGOVIA CRISTINA show activity in Duplex, Single Family Residential across Montgomery, AL.

How many properties are associated with SEGOVIA CRISTINA?

Public records show approximately 3 properties and 3 recorded transactions associated with SEGOVIA CRISTINA in this dataset.

Which lenders has SEGOVIA CRISTINA worked with?

Recorded mortgage data linking SEGOVIA CRISTINA to specific lenders is limited in this dataset. Cash purchases or out-of-record financing may explain gaps.

How recent is SEGOVIA CRISTINA's activity?

Records show activity from 2025 through 2026, with the most recent observed purchase recorded in April 2026.

What entities is SEGOVIA CRISTINA associated with?

SEGOVIA CRISTINA is associated with corporate or trust entities used to acquire property. Entity-resolution depth varies by state and recording office; SFR Analytics surfaces matched entities where the underlying public records make the relationship inferable.

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.