Wood (TX) Investor Pulse Report (2026-Q1)

Real Estate comprehensive investment analysis of investor activity in the Wood (TX) single-family residential housing market. Discover ownership trends, transaction patterns, and market insights.

Market Overview

Total SFR Properties in Wood (TX)
8,617
Total Investors in Wood (TX)
1,077
Investor Owned SFR in Wood (TX)
802(9.3%)
Individual Landlords
Landlords
981
SFR Owned
708
Corporate Landlords
Landlords
96
SFR Owned
108
Understanding Property Counts

Distinct Count Methodology: The total 802 represents distinct properties - if 2+ landlords co-own the same property, it's counted only once. This provides the most accurate representation of investor-owned SFR properties.

Why totals don't sum: When broken down by Individual vs Corporate ownership (or by tier), properties with co-ownership across categories are counted once per category. For example, if a property is co-owned by an individual AND a corporate landlord, it appears in both counts. This is why Individual + Corporate totals may exceed the distinct total by 2-4%, and percentages may sum to 100-104%.

Market Visualization

Chart Section2 Coverage
Chart Section3 Ownership Donut
Chart Section4 Distribution

Key Market Insights

Mom-and-Pop Landlords Dominate Wood County with 97% Ownership as New Investors Pay a 33% Premium
Investors own 802 SFR properties in Wood County, TX (9.3% of the market), with mom-and-pop landlords controlling an overwhelming 96.7% of that inventory. In a stark market reversal, Q1 2026 saw landlords pay a 33.4% premium over traditional homeowners. Investors remain aggressive net buyers, acquiring 4 properties for every 1 sold.
Landlord Owned Current Holdings
Investors hold 802 SFRs, with individuals owning 88.3% of the properties.
Cash purchases significantly outpace financing, with 547 properties owned outright versus 255 financed. The portfolio is heavily focused on rentals, as 97.3% of investor-owned homes (780 of 802) are non-owner-occupied.
Landlord vs Traditional Homeowners
Landlords paid a 33.4% premium over homeowners in Q1, a stunning reversal from prior quarters.
This $91,444 premium per property ($365,636 vs $274,192) in Q1 2026 marks a dramatic shift from 2025, when landlords consistently secured deep discounts, such as the 37.8% discount in Q1 2025.
Current Quarter Purchases
Investors purchased 13.5% of all single-family homes sold in Q4 2025.
Mom-and-pop landlords drove the market, accounting for 83.3% of all investor purchases (10 of 12 properties). In contrast, institutional investors with 1000+ properties acquired only a single home.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control an overwhelming 96.7% of investor-owned homes.
Institutional investors (1000+ properties) have a negligible presence, owning just 5 properties, or 0.6% of the investor market. Single-property landlords alone account for 83.0% of all investor holdings.
Ownership by Tier & Type
Companies become the majority property owners in the 6-10 property portfolio tier.
Within the 6-10 property tier, companies own a 54.5% majority (6 properties) compared to individuals' 45.5% (5 properties). Below this level, individuals dominate, holding 91.3% of single-property portfolios.
Geographic Distribution
Investor ownership is concentrated in zip codes 75765 and 75494, which hold 367 and 162 properties respectively.
The highest rate of investor penetration is in 75494, where investors own 18.9% of homes. This is more than double the ownership rate in 75773 (5.1%) and well above the county average of 9.3%.
Historical Transactions
Investors are aggressive net buyers, acquiring 4 properties for every 1 sold in Q1 2026.
This buying trend is long-standing, with a 3.8x buy-to-sell ratio in 2025 (125 buys vs 33 sells) and a 4.7x ratio in 2024 (126 buys vs 27 sells). Institutional investors are also net buyers.
Current Quarter Transactions
Landlords participated in 12.4% of all SFR transactions during the first quarter.
New, single-property investors paid the highest price at $365,636 per property. Institutional investors were also active, with their single transaction being a landlord-to-landlord deal, suggesting strategic portfolio exchanges.

Want deeper insights tailored to your investment strategy?

TALK TO AN EXPERT

Current Holdings Portfolio

Analysis of landlord property holdings by type, financing method, and owner category

Chart Section5 Holdings
Key Insight
Investors hold 802 SFRs, with individuals owning 88.3% of the properties.
Detailed Findings

In Wood County, investors hold 802 single-family residential properties, accounting for 9.3% of the total 8,617 SFRs in the market.

Individual investors are the backbone of the rental market, owning 708 properties, which constitutes a commanding 88.3% share of all investor-owned SFRs. In contrast, company-owned portfolios consist of 108 properties (13.5%).

The market shows a strong preference for cash acquisitions, with 547 properties owned free and clear compared to 255 that are financed. This ratio of over two cash properties for every one financed suggests a well-capitalized investor base.

The investor portfolio is almost entirely dedicated to rental housing. A total of 780 properties are classified as rented, representing 97.3% of the entire investor-owned stock and underscoring a clear focus on generating rental income.

While there are 1,077 distinct landlord entities, they control just 802 properties, indicating a high degree of co-ownership or a fragmented market with many small-scale players, primarily driven by the 981 individual landlords compared to 96 company entities.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords paid a 33.4% premium over homeowners in Q1, a stunning reversal from prior quarters.
Detailed Findings

In a striking market shift, landlords paid a significant premium for properties in the first quarter of 2026. The average landlord acquisition price was $365,636, which is 33.4% higher than the $274,192 paid by traditional homeowners, a difference of $91,444 per property.

This Q1 premium represents a complete reversal of the pricing dynamics observed throughout 2025. For example, in Q1 2025, landlords enjoyed a 37.8% discount, paying $176,953 while homeowners paid $284,702. Similarly, in Q3 2025, investors secured a 34.4% discount.

The change from a consistent, deep discount to a substantial premium suggests a major change in investor strategy or market conditions. This could indicate investors are targeting higher-value properties or facing intense competition that is driving prices up beyond typical market levels.

Overall price appreciation is evident when comparing recent activity to the pandemic era. The average acquisition price during 2020-2023 was $272,330, significantly lower than the prices recorded in early 2026, signaling sustained value growth in the region.

Chart Section6 Prices
Chart Section6 Prices Alt
Chart Section6 Trends
Chart Section6 Yoy Comparison

Current Quarter Purchase Summary

Analysis of Q1 2026 purchase activity by investor tier and type

Chart Section7 Purchases
Chart Section7 Tiers
Key Insight
Investors purchased 13.5% of all single-family homes sold in Q4 2025.
Detailed Findings

Landlord activity constituted a significant portion of the Wood County housing market in Q4 2025, with investors acquiring 12 of the 89 total SFRs sold, capturing a 13.5% market share.

The quarter was defined by the activity of small-scale investors. Mom-and-pop landlords (owning 1-10 properties) were responsible for 10 of the 12 investor purchases, making up 83.3% of the acquisition volume.

New entrants were a primary driver of demand, with the single-property (Tier 01) category alone accounting for 10 properties acquired by 13 different entities. This signals a healthy influx of new landlords into the market.

Institutional-level activity was minimal. Investors in the 1,000+ property tier purchased just one property, representing only 8.3% of the quarter's investor activity.

The data clearly shows that the real estate investing landscape in Wood County is dominated by grassroots activity rather than large-scale corporate acquisitions, with new and small landlords being the most active buyers.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) control an overwhelming 96.7% of investor-owned homes.
Detailed Findings

The ownership structure of investor properties in Wood County is overwhelmingly dominated by small-scale landlords. Mom-and-pop investors (Tiers 01-04, holding 1-10 properties) collectively own 96.7% of all investor-held SFRs.

Single-property landlords (Tier 01) form the bedrock of the market, by themselves controlling 679 properties, which translates to 83.0% of the entire investor-owned inventory. This highlights a highly fragmented market composed of individual owners.

In stark contrast, institutional investors (Tier 09, with 1,000+ properties) have a minimal footprint in the county. Their entire portfolio consists of just 5 properties, representing a mere 0.6% of the market share.

Mid-size landlords (11-1,000 properties) also hold a small fraction of the market. Tiers 05 through 08 combined account for only 2.7% of investor-owned properties.

This distribution decisively counters the narrative of corporate consolidation in the rental market, revealing that Wood County's investor landscape is almost entirely composed of small, local operators.

Chart Section8 Distribution
Chart Section8 Prices
Chart Section8 Prices Q4
Chart Section8 Yoy Comparison

Need custom portfolio analysis based on these tier insights?

TALK TO AN EXPERT

Ownership by Tier & Owner Type

Breakdown of individual vs corporate ownership across portfolio tiers

Chart Section9 Ownership
Chart Section9 Growth
Chart Section9 Growth Q4
Chart Section9 Yoy Comparison
Key Insight
Companies become the majority property owners in the 6-10 property portfolio tier.
Detailed Findings

A clear crossover point in ownership strategy occurs as portfolio sizes grow in Wood County. While individuals dominate smaller portfolios, companies become the majority owners in the 6-10 property tier (Tier 04).

In this pivotal 6-10 property tier, companies own 6 properties (54.5%), narrowly surpassing the 5 properties (45.5%) held by individuals. This suggests that as investors scale, they increasingly turn to corporate structures for liability and operational purposes.

This trend is a sharp contrast to smaller tiers, where individual ownership is the standard. For single-property portfolios, individuals own 632 homes (91.3%) versus just 60 (8.7%) for companies.

The pattern continues in the 3-5 property tier, with individuals holding a 75.6% majority (34 properties) compared to the 24.4% share (11 properties) held by companies.

This data illustrates a distinct lifecycle for investors in the region, starting with individual ownership and transitioning to corporate entities as their portfolios expand beyond five properties.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor ownership is concentrated in zip codes 75765 and 75494, which hold 367 and 162 properties respectively.
Detailed Findings

Investor activity in Wood County is not evenly distributed, but rather concentrated in a few key zip codes. The zip code 75765 is the leader by volume, with 367 investor-owned properties, representing 14.1% of its housing stock.

The highest concentration by market share is found in 75494, where investors own 18.9% of all SFRs, with a total of 162 properties. This penetration rate is significantly higher than the county-wide average of 9.3%.

Following the leaders, zip code 75773 has 112 investor-owned properties, but at a much lower penetration rate of 5.1%, indicating a larger overall housing market with less investor focus.

Another area with notable investor presence is 75755, which has the fourth-highest ownership rate at 16.7%, further demonstrating the pocketed nature of investment in the county.

This geographic clustering suggests that investors are targeting specific neighborhoods, likely driven by factors like rental demand, property values, and local economic conditions. Detailed assessor data can often reveal the underlying drivers of these trends.

Chart Section10 Top Regions
Chart Section10 Top Pct

Historical Transactions

Buy/sell transaction trends over time for all landlords and institutional investors

Chart Section11 Buysell
Chart Section11 Buysell Price
Chart Section11 Yoy All Landlords
Chart Section11 Institutional
Chart Section11 Institutional Price
Key Insight
Investors are aggressive net buyers, acquiring 4 properties for every 1 sold in Q1 2026.
Detailed Findings

Landlords in Wood County are consistently and actively growing their portfolios, operating as strong net buyers across all recent timeframes. In Q1 2026, investors purchased 16 properties while selling only 4, a ratio of 4-to-1.

This pattern of accumulation is not a new trend. In the full year of 2025, landlords acquired 125 properties and sold just 33, resulting in a net gain of 92 properties and a buy/sell ratio of 3.8x.

The momentum was even stronger in 2024, with 126 purchases against 27 sales, yielding a net increase of 99 properties and a robust 4.7x buy/sell ratio.

Even the typically cautious institutional investors (1,000+ tier) are in acquisition mode in this market. In 2025, they were net buyers, acquiring 7 properties while selling only 3.

The persistent, high-volume net buying activity across all investor types signals strong confidence in the Wood County rental market and a long-term strategy of asset accumulation.

Current Quarter Transactions

Q1 2026 transaction analysis by tier, price, and inter-landlord activity

Key Insight
Landlords participated in 12.4% of all SFR transactions during the first quarter.
Detailed Findings

In Q1 2026, landlords were involved in 16 of the 129 total SFR transactions in Wood County, capturing a 12.4% share of market activity.

A significant pricing disparity emerged among different investor tiers. New entrants in the single-property tier paid the highest average price by far, at $365,636 across 13 transactions. This suggests these buyers are competing for turn-key or high-demand properties.

In contrast, larger investors in the 101-1,000 property tier acquired a property for a much lower average price of $155,492, indicating a different acquisition strategy that may target value-add or off-market opportunities.

Inter-landlord activity was notable at the institutional level. The single transaction by an investor in the 1,000+ tier was sourced from another landlord, highlighting a market where sophisticated players trade assets directly among themselves.

None of the 13 purchases made by the smallest mom-and-pop landlords came from other investors, indicating they are primarily buying from traditional homeowners, while institutional players are leveraging the investor network.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

Ready to leverage this data for your real estate investment decisions?

TALK TO AN EXPERT

Executive Summary

Mom-and-pop investors dominate 97% of Wood County's rental market, with new entrants paying a 33% premium over homeowners.
Holdings
Landlords own 802 single-family properties in Wood County, representing 9.3% of the total market. This portfolio is overwhelmingly controlled by individual investors (88.3%) over companies (13.5%).
Pricing
In a major market reversal, landlords paid 33.4% more than traditional homeowners in Q1 2026, an average premium of $91,444 per property ($365,636 vs $274,192).
Activity
Investors purchased 13.5% of homes sold in the last reported quarter, with 13 new single-property landlord entities entering the market, driving the bulk of the activity.
Market Share
Small mom-and-pop landlords (1-10 properties) control 96.7% of all investor housing, while institutional investors with 1,000+ properties own just 0.6%.
Ownership Type
Individual investors command the market, but companies become the majority owners once a portfolio grows to the 6-10 property tier, signaling a shift to formal business structures.
Transactions
Landlords are aggressive net buyers with a 4.0x buy-to-sell ratio in Q1 2026 (16 buys vs 4 sells), a trend consistent with previous years. Institutional investors are also net buyers.
Market Narrative

The investor landscape in Wood County, Texas, is a story of grassroots growth, not corporate consolidation. Investors own 802 single-family homes, making up 9.3% of the county's SFR market. This ownership is profoundly fragmented: individual investors hold 88.3% of these properties, while small 'mom-and-pop' landlords (1-10 homes) control an overwhelming 96.7% of the entire investor-owned portfolio. In stark contrast, institutional investors with over 1,000 properties have a negligible footprint, owning just 0.6% of the inventory. This structure underscores a market built on small-scale, individual enterprise.

Investor behavior in Wood County is characterized by confident and consistent acquisition. Across recent years, landlords have operated as strong net buyers, purchasing four properties for every one they sold in Q1 2026. This period also revealed a dramatic pricing anomaly: new single-property investors paid an average of $365,636, a 33.4% premium over traditional homeowners. This sharp reversal from historical discounts suggests heightened competition for desirable properties, potentially driven by the 13 new landlord entities that entered the market in the last measured quarter.

The key takeaway from this Investor Pulse report is that the rental market in Wood County is robust, localized, and expanding from the ground up. The dominance of individual owners and the influx of new small-scale landlords define the market's character. The recent price premium paid by these new entrants signals a potentially competitive and appreciating market, while the consistent net-buying activity points to strong long-term confidence. For anyone analyzing the housing market, Wood County serves as a clear example of a rental ecosystem powered by individual investors rather than institutional capital.

About This Report

Report Methodology

This report analyzes BatchData's Investor Pulse dataset, covering single-family residential (SFR) investor activity across the United States.

Data is extracted from 15 CSV files covering ownership, transactions, and pricing trends, then analyzed using AI-powered insights.

Property Counting Methodology:

Distinct Counts: All headline totals represent distinct properties. If 2+ landlords co-own the same property, it's counted only once. This provides accurate market representation.

Category Breakdowns: When analyzing by tier (01-09), owner type (Individual/Corporate), or occupancy status, properties with co-ownership across categories are counted once per category. This causes breakdowns to sum 2-4% higher than totals, and percentages may sum to 100-104%. This is expected and reflects co-ownership patterns.

Tier Properties Category
01-041-10Mom-and-Pop
05-0711-100Mid-Size
08101-1000Large
091000+Institutional
About BatchData

BatchData provides comprehensive real estate data and analytics, offering insights into property ownership, investor activity, and market trends across the United States.

The Investor Pulse dataset tracks single-family residential (SFR) investor behavior at national, state, county, and MSA levels.

For more information, visit batchdata.io or explore our API documentation.

Data Freshness
Report Generated July 22, 2026 at 04:22 AM
Data Period Q1 2026
Geography Level County
Geography Wood (TX)
×
Chart Section2 Coverage
Chart Section2 Coverage
×
Chart Section3 Ownership Donut
Chart Section3 Ownership Donut
×
Chart Section3 Ownership Bar
Chart Section3 Ownership Bar
×
Chart Section4 Distribution
Chart Section4 Distribution
×
Chart Section5 Holdings
Chart Section5 Holdings
×
Chart Section6 Prices
Chart Section6 Prices
×
Chart Section6 Prices Alt
Chart Section6 Prices Alt
×
Chart Section6 Yoy Comparison
Chart Section6 Yoy Comparison
×
Chart Section6 Trends
Chart Section6 Trends
×
Chart Section7 Purchases
Chart Section7 Purchases
×
Chart Section7 Tiers
Chart Section7 Tiers
×
Chart Section8 Distribution
Chart Section8 Distribution
×
Chart Section8 Prices
Chart Section8 Prices
×
Chart Section8 Prices Q4
Chart Section8 Prices Q4
×
Chart Section8 Prices 2020
Chart Section8 Prices 2020
×
Chart Section8 Yoy Comparison
Chart Section8 Yoy Comparison
×
Chart Section9 Ownership
Chart Section9 Ownership
×
Chart Section9 Growth
Chart Section9 Growth
×
Chart Section9 Growth Q4
Chart Section9 Growth Q4
×
Chart Section9 Yoy Comparison
Chart Section9 Yoy Comparison
×
Chart Section10 Top Regions
Chart Section10 Top Regions
×
Chart Section10 Top Pct
Chart Section10 Top Pct
×
Chart Section11 Buysell
Chart Section11 Buysell
×
Chart Section11 Buysell Price
Chart Section11 Buysell Price
×
Chart Section11 Yoy All Landlords
Chart Section11 Yoy All Landlords
×
Chart Section11 Institutional
Chart Section11 Institutional
×
Chart Section11 Institutional Price
Chart Section11 Institutional Price
×
Chart Section12 Transactions
Chart Section12 Transactions
×
Chart Section12 Prices
Chart Section12 Prices
×
Chart Section12 Prices Detail
Chart Section12 Prices Detail

Licensing & Usage Rights

This report, data, and all visual analyses are the property of BatchData © 2026 BatchService, Inc. and are licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0).

You MAY: Download, share, or excerpt this content for personal or non-commercial purposes, provided you give clear attribution to BatchData with a link back to this original page.

You MAY NOT: Use this data commercially, resell or redistribute it as your own, or publish modified versions.

For commercial licensing: batchdata.io/contact-sales

Creative Commons BY-NC-ND 4.0 - creativecommons.org/licenses/by-nc-nd/4.0/

How to cite this report

BatchData. (2026). Q1 2026 Wood (TX) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-tx-wood/. Licensed under CC BY-NC-ND 4.0.