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

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

Market Overview

Total SFR Properties in Brown (TX)
13,225
Total Investors in Brown (TX)
4,446
Investor Owned SFR in Brown (TX)
4,121(31.2%)
Individual Landlords
Landlords
3,987
SFR Owned
3,403
Corporate Landlords
Landlords
459
SFR Owned
751
Understanding Property Counts

Distinct Count Methodology: The total 4,121 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 Investors Dominate Brown County, Owning 94.7% of Rental Homes Amid High Market Penetration
Investors own 4,121 single-family homes in Brown County, TX, a significant 31.2% of the total market. This portfolio is overwhelmingly controlled by small 'mom-and-pop' landlords (94.7%), while institutional investors hold a mere 0.2%. In the most recent quarter, landlords were aggressive net buyers and secured properties at an average 5.8% discount compared to traditional homeowners.
Landlord Owned Current Holdings
Investors own 4,121 SFRs in Brown County, with individuals holding 82.6% of the portfolio.
The majority of these properties, 3,390, were acquired with cash, compared to just 731 that are financed. Of the 4,446 total landlords, 3,987 are individuals, outnumbering companies by nearly 9 to 1.
Landlord vs Traditional Homeowners
In Q1 2026, landlords purchased homes for 5.8% less than traditional homeowners, an average discount of $16,846.
The price gap between landlords and homeowners has been extremely volatile, swinging from landlords paying an 89.2% premium in Q1 2025 to securing a 51.4% discount in Q2 2025. Prices for landlord acquisitions have fluctuated significantly, from a high of $419,638 in Q1 2025 to a low of $130,274 in Q2 2025.
Current Quarter Purchases
Landlords captured 29.0% of all single-family home purchases in Q4 2025, acquiring 45 properties.
Mom-and-pop landlords (1-10 properties) drove this activity, accounting for 39 purchases, or 84.8% of the landlord total. In contrast, institutional investors (1000+ properties) purchased only 2 homes, representing just 4.3% of investor acquisitions.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control a commanding 94.7% of all investor-owned SFRs in Brown County.
Conversely, institutional investors with over 1,000 properties hold a mere 0.2% of the investor-owned housing stock, owning just 7 properties. Single-property landlords alone make up the largest segment, owning 2,777 properties, or 64.4% of the total.
Ownership by Tier & Type
Companies become the dominant owners at the 11-20 property tier, holding 75.2% of homes in that segment.
Despite this crossover, individual investors maintain a strong presence across all tiers, owning 89.9% of single-property portfolios and still holding 24.8% of properties in the 11-20 tier. In smaller tiers (1-10 properties), individuals own a commanding majority of the homes.
Geographic Distribution
Investor activity is heavily concentrated, with the 76801 zip code alone containing 2,873 investor-owned properties.
The highest rate of investor ownership is found in the 76857 zip code, where landlords own 51.9% of all SFRs. The 76801 zip code has both the highest count of investor properties and a high ownership rate of 31.5%.
Historical Transactions
Landlords in Brown County are strong net buyers, acquiring 57 properties while selling only 17 in Q1 2026.
This net buyer trend has been consistent, with landlords purchasing 311 properties versus selling 80 in 2025, and acquiring 332 versus selling 84 in 2024. Institutional investors are also net buyers, though at a much smaller scale, with 3 buys and 2 sells in Q1 2026.
Current Quarter Transactions
Landlords were involved in 25.8% of all SFR transactions in Q1 2026, purchasing 57 properties.
A massive price gap exists between tiers, with single-property buyers paying $367,285 on average, while institutional investors paid just $112,201, a 69.5% discount. Landlords in the 6-10 property tier were most likely to buy from other investors, with 66.7% of their purchases sourced from fellow landlords.

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Current Holdings Portfolio

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

Chart Section5 Holdings
Key Insight
Investors own 4,121 SFRs in Brown County, with individuals holding 82.6% of the portfolio.
Detailed Findings

Investor ownership in Brown County is substantial, with 4,121 single-family residential properties held by landlords, representing 31.2% of the county's total SFR market of 13,225 homes.

The investor landscape is dominated by 3,987 individual landlords, who own 3,403 properties or 82.6% of the total investor portfolio. In contrast, 459 companies own the remaining 751 properties (18.2%), highlighting the market's reliance on smaller-scale real estate investing.

Cash is the preferred acquisition method for investors in this market. A commanding 3,390 properties in landlord portfolios are held free of financing, while only 731 are financed, indicating a well-capitalized investor base.

The portfolio is heavily geared towards rental income, with 4,014 of the 4,121 investor-owned properties identified as rented. This high rental concentration underscores the business focus of property owners in the region.

Comparing entity counts to property counts reveals different scales of operation. The 3,987 individual landlords own an average of less than one property each (as many are in partnerships), while the 459 companies own an average of 1.6 properties each, pointing to slightly larger, more formalized operations among corporate entities.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
In Q1 2026, landlords purchased homes for 5.8% less than traditional homeowners, an average discount of $16,846.
Detailed Findings

Investors in Brown County demonstrated a distinct pricing advantage in the first quarter of 2026, acquiring properties for an average of $276,103. This was 5.8% less than the $292,949 average paid by traditional homeowners, saving landlords an average of $16,846 per property.

However, this price gap has shown extreme volatility over the past year. In Q2 2025, landlords achieved a staggering 51.4% discount ($137,707), purchasing at $130,274 versus the homeowner price of $267,981. This contrasts sharply with Q1 2025, when landlords paid a surprising 89.2% premium ($197,876), acquiring properties at $419,638.

The average acquisition price for investors has seen significant fluctuation, highlighting changing market conditions or purchasing strategies. For example, the average price during the 2020-2023 period was $211,481, which is considerably lower than the prices seen in several recent quarters.

The data on properties purchased by timeframe suggests inconsistent acquisition pacing. While average prices are available for each recent quarter, the underlying count of properties is zero for many periods, indicating that recent activity is concentrated in specific buying windows rather than being spread evenly throughout the year.

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
Landlords captured 29.0% of all single-family home purchases in Q4 2025, acquiring 45 properties.
Detailed Findings

Investor activity was a significant force in the Brown County market during Q4 2025, with landlords purchasing 45 of the 155 total SFRs sold, a market share of 29.0%.

The backbone of this purchasing activity was small-scale investors. Mom-and-pop landlords (Tiers 01-04) were responsible for 39 of the 45 acquisitions (84.8%), reinforcing their dominance in the local market.

First-time or single-property investors (Tier 01) were the most active group, with 31 new entities acquiring 24 properties. This represents 52.2% of all landlord purchases for the quarter, signaling a healthy influx of new market participants.

Institutional investors (Tier 09) had a minimal presence, acquiring only 2 properties, or 4.3% of the landlord total. This low volume starkly contrasts with the high activity from smaller landlords.

Mid-size landlords also contributed to the quarter's activity, with investors in the 21-50 and 101-1000 property tiers adding 4 and 1 properties respectively, showing a breadth of purchasing across different investor sizes, albeit concentrated at the smaller end.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) control a commanding 94.7% of all investor-owned SFRs in Brown County.
Detailed Findings

The ownership structure in Brown County is overwhelmingly dominated by small-scale investors. Mom-and-pop landlords, defined as those owning 1-10 properties, collectively own 94.7% of the 4,121 investor-held SFRs.

Dispelling narratives of corporate dominance, institutional investors (1000+ properties) have a negligible footprint in the county. This tier holds only 7 properties, which translates to just 0.2% of the total investor-owned portfolio.

The single-property landlord (Tier 01) is the most significant group, owning 2,777 properties. This tier alone accounts for 64.4% of all investor-owned homes, highlighting the decentralized and granular nature of the rental market.

As portfolio sizes increase, the number of properties and entities drops off sharply. Mid-size landlords (11-100 properties) control a combined 3.0% of the market, further emphasizing the concentration of ownership at the smallest scale.

The combined share of all investors owning more than 10 properties is just 5.3%. This confirms that the Brown County rental market is supported almost entirely by local, small-portfolio owners rather than large, consolidated operators.

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

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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 dominant owners at the 11-20 property tier, holding 75.2% of homes in that segment.
Detailed Findings

Individual investors form the foundation of Brown County's rental market, owning 89.9% of single-property portfolios (2,510 properties) and 85.8% of two-property portfolios (387 properties).

A clear shift in ownership structure occurs as portfolios grow. The crossover point is the 11-20 property tier, where companies own a 75.2% majority share (79 properties), compared to just 24.8% for individuals (26 properties).

This trend continues into larger tiers, with companies owning 67.0% of properties in the 21-50 tier. This indicates that as investment operations scale, they are more likely to be structured as corporate entities for liability and financial purposes.

Even in the 6-10 property tier, where individuals still hold a 61.9% majority, the presence of company ownership (38.1%) is significantly higher than in the smallest tiers. This signals a gradual formalization of ownership as landlords expand beyond a handful of properties.

Overall, while individuals dominate the sheer number of properties owned across the market, companies are the primary structure for investors building mid-sized and larger portfolios in Brown County.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is heavily concentrated, with the 76801 zip code alone containing 2,873 investor-owned properties.
Detailed Findings

Geographic concentration is a defining feature of real estate investment in Brown County. A single zip code, 76801, accounts for the vast majority of activity, with 2,873 investor-owned SFRs, representing a 31.5% ownership rate.

The highest penetration of investor ownership is in zip code 76857, where an astonishing 51.9% of all single-family homes are owned by investors. This area, with 706 investor properties, is a clear hotspot for rental housing.

Other areas with significant investor ownership rates include 76443 (33.3%), 76827 (32.4%), and 76823 (25.7%), though these regions have smaller total property counts. This highlights that high penetration rates can occur in both large and small sub-markets.

There is a clear distinction between regions with the highest absolute count of investor properties and those with the highest percentage. While 76801 leads by a wide margin in total count, three other zip codes have a higher percentage of investor ownership, suggesting different market dynamics at play.

The top five zip codes by investor-owned count collectively hold 4,059 properties, indicating that nearly all investor activity in the county is focused within a few key areas.

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
Chart Section11 Yoy Institutional
Key Insight
Landlords in Brown County are strong net buyers, acquiring 57 properties while selling only 17 in Q1 2026.
Detailed Findings

Investors in Brown County are in a phase of accumulation, consistently buying more properties than they sell. In Q1 2026, they were strong net buyers, with 57 acquisitions compared to only 17 dispositions, a buy-to-sell ratio of over 3-to-1.

This pattern of net acquisition has been stable over the past two years. In 2025, landlords purchased 311 SFRs and sold 80, for a net gain of 231 properties. Similarly, in 2024, they added a net 248 properties to their portfolios (332 buys vs. 84 sells).

Even institutional investors (1000+ tier), despite their small presence, are adding to their portfolios. They were net buyers in Q1 2026 (3 buys vs. 2 sells) and for the full year 2025 (8 buys vs. 7 sells), signaling confidence in the local market.

The data shows a brief period where institutions were net sellers in Q3 2025 (2 buys vs. 3 sells), but this was an anomaly in an otherwise consistent trend of portfolio growth across all investor types.

The sustained net-buying activity from both small and large landlords indicates a strong, ongoing demand for rental properties in the Brown County market.

Current Quarter Transactions

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

Key Insight
Landlords were involved in 25.8% of all SFR transactions in Q1 2026, purchasing 57 properties.
Detailed Findings

In the first quarter of 2026, investors accounted for 25.8% of market activity, with 57 of the 221 total SFR transactions involving a landlord buyer.

A dramatic pricing difference emerged between investor tiers. New or single-property landlords (Tier 01) paid the highest average price at $367,285. In stark contrast, institutional investors (Tier 09) acquired properties for an average of only $112,201, securing a 69.5% discount compared to their smaller counterparts.

This price disparity suggests very different acquisition strategies. Smaller investors appear to be buying higher-value, perhaps turn-key properties, while institutions are targeting lower-cost assets, potentially those requiring renovation or in less expensive areas.

Mom-and-pop landlords (Tiers 01-04) dominated transaction volume, accounting for 49 of the 57 investor purchases. Institutional investors were far less active, with only 3 transactions during the quarter.

Inter-landlord activity varies by tier. Landlords in the 6-10 property tier were the most active in buying from peers, with 66.7% of their acquisitions coming from other landlords. This indicates a liquid market for smaller, multi-property portfolios.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Mom-and-Pop investors own 31.2% of Brown County's housing, acquiring properties as strong net buyers
Holdings
Landlords own 4,121 SFR properties, representing 31.2% of Brown County's market, with individual investors holding a dominant 3,403 (82.6%) of these homes compared to 751 (18.2%) owned by companies.
Pricing
Landlords paid 5.8% less than homeowners in Q1 2026, securing an average discount of $16,846 per property ($276,103 vs $292,949), though this price gap has been highly volatile historically.
Activity
In Q4 2025, landlords purchased 29.0% of all homes sold (45 properties), with activity led by 31 new single-property landlords entering the market.
Market Share
Small 'mom-and-pop' landlords (1-10 properties) control an overwhelming 94.7% of investor housing, while large institutional investors (1000+ properties) own just 0.2%.
Ownership Type
Individual investors dominate smaller portfolios, but companies become the majority owners in portfolios of 11 or more properties, controlling 75.2% of homes in the 11-20 property tier.
Transactions
Landlords are aggressive net buyers with a 3.35x buy/sell ratio in Q1 2026 (57 buys vs 17 sells), and even institutional investors are expanding their local portfolios (3 buys vs 2 sells).
Market Narrative

In Brown County, Texas, real estate investors hold a significant 31.2% of the single-family housing market, owning 4,121 of the 13,225 total properties. The local market structure defies the national narrative of corporate dominance. Individual, or 'mom-and-pop', landlords are the primary force, owning 82.6% of the investor-held portfolio (3,403 homes). A deeper look at ownership tiers reveals that small landlords with 1-10 properties control a staggering 94.7% of all investor-owned homes, while institutional investors with over 1,000 properties have a negligible footprint of just 0.2%.

Investor behavior in the county is characterized by strategic acquisitions and consistent portfolio growth. In Q1 2026, landlords were involved in 25.8% of all transactions and demonstrated a clear pricing advantage, purchasing homes for 5.8% less than traditional homeowners. This activity is part of a sustained trend of accumulation, with investors acting as strong net buyers, acquiring 3.35 properties for every one they sold in the quarter. Interestingly, pricing strategies vary dramatically by size; new single-property investors paid an average of $367,285, while large institutional buyers acquired assets for just $112,201.

The key takeaway for the Brown County housing market is that it is fundamentally shaped by a large, decentralized network of small-scale investors, not large corporations. This high penetration rate of local ownership suggests a mature rental market with strong, ongoing demand. The influx of new single-property landlords and the consistent net-buying activity across all investor types signal continued confidence and a trajectory of further growth in the local rental housing supply. This dynamic creates a competitive environment for all buyers, particularly for entry-level housing stock.

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 03:13 AM
Data Period Q1 2026
Geography Level County
Geography Brown (TX)
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Chart Section2 Coverage
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Chart Section3 Ownership Donut
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Chart Section3 Ownership Bar
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Chart Section4 Distribution
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Chart Section5 Holdings
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Chart Section6 Prices
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Chart Section6 Prices Alt
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Chart Section6 Yoy Comparison
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Chart Section6 Trends
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Chart Section7 Purchases
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Chart Section7 Tiers
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Chart Section8 Distribution
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Chart Section8 Prices
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Chart Section8 Prices Q4
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Chart Section8 Prices 2020
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Chart Section8 Yoy Comparison
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Chart Section9 Ownership
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Chart Section9 Growth
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Chart Section9 Growth Q4
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Chart Section9 Yoy Comparison
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Chart Section10 Top Regions
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Chart Section10 Top Pct
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Chart Section11 Buysell
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Chart Section11 Buysell Price
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Chart Section11 Yoy All Landlords
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Chart Section11 Institutional
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Chart Section11 Institutional Price
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Chart Section11 Yoy Institutional
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Chart Section12 Transactions
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Chart Section12 Prices
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Chart Section12 Prices Detail
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Licensing & Usage Rights

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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.

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How to cite this report

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