Brown (WI) Investor Pulse Report (2025-Q4)

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

Market Overview

Total SFR Properties in Brown (WI)
79,059
Total Investors in Brown (WI)
2,934
Investor Owned SFR in Brown (WI)
2,267(2.9%)
Individual Landlords
Landlords
2,506
SFR Owned
1,724
Corporate Landlords
Landlords
428
SFR Owned
571
Understanding Property Counts

Distinct Count Methodology: The total 2,267 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

Small Landlords Dominate Brown County with 94% Share, Buying at a 21.4% Discount
In Brown County, investors own 2,267 SFR properties, representing 2.9% of the total market. This ownership is overwhelmingly concentrated among mom-and-pop landlords (94.3%), who in Q4 2025 purchased homes for 21.4% less than traditional homeowners. While landlords are aggressive net buyers (12.8x buy-to-sell ratio), institutional investors were completely inactive, holding only 0.6% of the investor-owned inventory.
Landlord Owned Current Holdings
Investors own 2,267 SFR properties in Brown County, with individuals holding a 76.0% majority share.
Cash purchases significantly outweigh financing, with 1,467 properties owned outright compared to 800 that are financed. The market comprises 2,934 distinct landlord entities for 2,267 properties, indicating a high prevalence of co-ownership.
Landlord vs Traditional Homeowners
In Q4, Brown County landlords paid 21.4% less than homeowners, securing a $76,950 average discount.
The price gap between landlords and homeowners widened significantly in the second half of 2025, from an 11.0% discount in Q2 to 23.5% in Q3 and 21.4% in Q4. Landlord acquisition prices have appreciated from a 2020-2023 average of $248,119 to $282,996 in Q4 2025.
Current Quarter Purchases
Landlords purchased 6.0% of all SFR properties sold in Q4, with mom-and-pop investors driving 92.3% of that activity.
New market entrants were a major force, with 59 single-property landlord entities acquiring 47 homes, representing 90.4% of all investor purchases. Institutional investors with over 1,000 properties made zero acquisitions in Q4.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control an overwhelming 94.3% of Brown County's investor-owned housing.
Single-property landlords alone own 1,791 properties, making up 77.9% of the entire investor-owned SFR market. Institutional investors (1000+ properties) have a negligible footprint, owning just 14 properties, or 0.6% of the total.
Ownership by Tier & Type
Companies assume majority ownership at the 6-10 property tier, holding 86.7% of assets in that segment.
While individuals dominate smaller portfolios, owning 85.1% of single-property investments, companies become the primary owner type for landlords scaling past five properties. Even in larger local portfolios (101-1000 properties), individuals remain significant players, owning 42.9% of properties.
Geographic Distribution
The 54115 zip code contains the highest concentration of investor-owned homes in Brown County, with 372 properties.
Due to data limitations for several zip codes, a complete sub-county analysis of ownership rates is not possible. However, the available data for 54115 shows an investor ownership rate of 2.8% in that area.
Historical Transactions
Brown County landlords are aggressive net buyers, acquiring 12.8 properties for every one they sold in Q4 2025.
This net buying trend has accelerated throughout the year, with the buy-to-sell ratio increasing from 5.24x in 2024 to 8.89x for all of 2025. There was no recorded transactional activity for institutional-grade (1000+) investors.
Current Quarter Transactions
Landlord transactions represented 4.8% of all market activity in Q4, with zero properties purchased from other landlords.
New, single-property investors paid the highest average price at $293,526, while larger, medium-tier landlords acquired properties for as low as $104,250. There were no transactions by institutional (1000+) investors.

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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 2,267 SFR properties in Brown County, with individuals holding a 76.0% majority share.
Detailed Findings

In Brown County, landlords own 2,267 Single-Family Residential (SFR) properties, which constitutes a modest 2.9% of the total 79,059 SFRs in the market.

Individual investors are the primary drivers of the rental market, owning 1,724 properties or 76.0% of all investor-owned SFRs, compared to 571 properties (25.2%) held by companies.

A notable characteristic of this market is the high rate of co-ownership or partnerships, with 2,934 distinct landlord entities owning the 2,267 properties. This suggests that many investment properties are held by more than one individual or entity.

Cash is the preferred method of acquisition and holding, with 1,467 properties (64.7%) owned free and clear, while only 800 properties (35.3%) are financed. This indicates a financially stable and less leveraged investor base.

The portfolio is heavily focused on generating rental income, as demonstrated by the 2,027 properties identified as rented, representing 89.4% of all investor-owned homes in the county.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
In Q4, Brown County landlords paid 21.4% less than homeowners, securing a $76,950 average discount.
Detailed Findings

Investors in Brown County demonstrate a consistent ability to acquire properties at a significant discount compared to traditional homeowners. In Q4 2025, landlords paid an average of $282,996, which is 21.4% less than the $359,946 average paid by homeowners—a substantial monetary advantage of $76,950 per property.

This pricing advantage for investors intensified over the course of 2025. The discount widened from 11.0% ($40,882) in Q2 to a remarkable 23.5% ($90,030) in Q3, before settling at 21.4% in Q4, indicating increasingly favorable buying conditions for landlords.

Despite a year-over-year decrease from the average price of $341,143 in 2024, the Q4 2025 average price of $282,996 still represents a significant 14.1% appreciation over the pandemic-era (2020-2023) average of $248,119.

The quarterly data reveals a pattern of strategic acquisition, where landlords appear to capitalize on market opportunities to purchase well below the prevailing retail price point.

The consistent, double-digit discount across all quarters of 2025 underscores that landlords are not simply paying market price but are actively finding and negotiating deals that are unavailable or overlooked by typical homebuyers.

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

Current Quarter Purchase Summary

Analysis of Q4 2025 purchase activity by investor tier and type

Chart Section7 Purchases
Chart Section7 Tiers
Key Insight
Landlords purchased 6.0% of all SFR properties sold in Q4, with mom-and-pop investors driving 92.3% of that activity.
Detailed Findings

Landlord purchasing activity accounted for 6.0% of the total market in Q4 2025, with investors acquiring 52 of the 862 SFR properties sold in Brown County.

The market's growth is overwhelmingly fueled by small-scale investors. Mom-and-pop landlords (owning 1-10 properties) were responsible for 48 of the 52 investor purchases, a commanding 92.3% share of acquisition activity.

First-time or single-property investors were the most active segment, with 59 new entities acquiring 47 properties. This group alone made up 90.4% of all landlord purchases, signaling a robust influx of new participants into the local rental market.

In stark contrast to the active small landlord segment, institutional investors (1,000+ properties) had no purchasing activity in Brown County during Q4, highlighting their absence from this market.

The data shows a clear pattern of grassroots expansion, where the investor base grows through new, small-scale participants rather than through consolidation by large corporate entities.

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 94.3% of Brown County's investor-owned housing.
Detailed Findings

The investor landscape in Brown County is definitively characterized by small-scale ownership. Mom-and-pop landlords, defined as those owning 1-10 properties, command a massive 94.3% of all investor-held SFRs.

The market's foundation is built upon single-property investors (Tier 01), who own 1,791 properties. This single tier accounts for 77.9% of all investor-owned housing, underscoring the hyper-local, decentralized nature of the rental market.

Mid-size landlords (11-1,000 properties) collectively own just 5.1% of the investor-held inventory, playing a minor role in the overall market structure.

Challenging the narrative of corporate dominance, institutional investors with portfolios of over 1,000 properties have a minimal presence, owning only 14 properties. This represents just 0.6% of the investor market, confirming their near-total absence from Brown County.

This distribution reveals a market with extremely low concentration at the top, where the vast majority of rental housing is provided by local, small-portfolio landlords rather than large corporations.

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 assume majority ownership at the 6-10 property tier, holding 86.7% of assets in that segment.
Detailed Findings

Ownership structure in Brown County shows a clear evolution as portfolios grow. Individual investors overwhelmingly dominate the entry-level tiers, owning 85.1% of single-property investments and 65.6% of portfolios with 3-5 properties.

The transition to corporate ownership occurs decisively at the 6-10 property tier. At this level, companies own 86.7% of the properties (65 units), while individuals own just 13.3% (10 units), marking it as the key crossover point for professionalization.

This pattern suggests that as local investors scale their operations beyond five properties, they are highly likely to incorporate for liability and financial management purposes.

Despite this trend, individual ownership persists even at larger scales within the county. In the 101-1,000 property tier, individuals still own 3 of the 7 properties (42.9%), demonstrating that significant portfolios can be managed without a corporate structure.

The data indicates two distinct investor paths: a large base of individuals managing small portfolios, and a smaller group of more professionalized operators who adopt a corporate structure as they scale.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
The 54115 zip code contains the highest concentration of investor-owned homes in Brown County, with 372 properties.
Detailed Findings

Geographic analysis of investor activity within Brown County is concentrated in specific areas. The zip code 54115 emerges as a key hub, hosting 372 investor-owned SFR properties, the highest count among areas with available data.

In the 54115 area, the 372 investor-owned properties represent a 2.8% ownership rate, which is closely aligned with the overall county average of 2.9%. This suggests that while it has the highest volume, its investor penetration is typical for the region.

Data for several other prominent zip codes, including 54110, 54165, 54227, and 54230, was unavailable for this report. A complete picture of geographic concentration and high-penetration hotspots cannot be fully determined without this information.

The concentration in 54115 indicates a focal point for rental demand and investment opportunity, likely driven by local economic factors, school districts, or housing stock characteristics that are attractive to landlords.

While county-level investor presence is modest, the data points to specific sub-markets like 54115 where rental property ownership is more consolidated.

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
Brown County landlords are aggressive net buyers, acquiring 12.8 properties for every one they sold in Q4 2025.
Detailed Findings

Landlords in Brown County are in a strong accumulation phase, consistently buying far more properties than they sell. In Q4 2025, they purchased 64 homes while selling only 5, resulting in an aggressive 12.8-to-1 buy/sell ratio.

This net-buyer behavior has gained momentum throughout the year. The ratio climbed from 8.2-to-1 in Q3 to 12.8-to-1 in Q4, indicating an increasing appetite for acquisitions as the year concluded.

Comparing annually, the net acquisition pace in 2025 (8.89x ratio with 329 buys vs. 37 sells) was significantly higher than in 2024 (5.24x ratio with 461 buys vs. 88 sells), signaling a strategic shift towards holding and expansion.

The data on institutional (1000+ tier) transactions was unavailable, but their absence in all other purchasing and ownership data strongly suggests they are not a factor in the county's transaction market.

This sustained and accelerating net-buying activity reveals strong confidence among local landlords in the future of the Brown County rental market, as they actively expand their portfolios rather than divest.

Current Quarter Transactions

Q4 2025 transaction analysis by tier, price, and inter-landlord activity

Key Insight
Landlord transactions represented 4.8% of all market activity in Q4, with zero properties purchased from other landlords.
Detailed Findings

In Q4 2025, landlords were involved in 64 of the 1,329 total SFR transactions in Brown County, accounting for a 4.8% share of market activity.

A critical finding is the complete absence of inter-landlord trading. One hundred percent of investor purchases came from the non-landlord market, indicating investors are exclusively acquiring properties from traditional homeowners, not from each other. This points to a buy-and-hold strategy rather than speculative flipping among investors.

A stark pricing difference exists between investor tiers. New single-property investors paid the most, at an average of $293,526 per home. In contrast, more established medium-large landlords (51-100 properties) acquired assets at a much lower average price of $104,250.

This price gap suggests different acquisition strategies: new entrants are buying market-rate, move-in-ready homes, while larger operators are likely targeting distressed or value-add properties that require capital but are acquired at a deep discount.

Mom-and-pop investors (Tiers 01-04) dominated the transaction volume with 60 purchases, while institutional investors had no recorded transactions, reinforcing that the market's liquidity is driven entirely by small operators.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Small Landlords Dominate Brown County with 94.3% Ownership, Acquiring Properties at a 21.4% Discount
Holdings
Investors own 2,267 SFR properties in Brown County, representing 2.9% of the market. Individual investors are the dominant force, holding 1,724 properties (76.0%) compared to 571 (25.2%) owned by companies.
Pricing
Landlords in Q4 2025 paid 21.4% less than traditional homeowners, securing an average discount of $76,950 per property by paying $282,996 versus the homeowner average of $359,946.
Activity
In Q4, landlords purchased 52 properties, a 6.0% share of all sales, with 59 new single-property landlord entities entering the market and driving over 90% of investor buying activity.
Market Share
The investor market is controlled by small operators, as mom-and-pop landlords (1-10 properties) own 94.3% of investor housing, while institutional investors (1000+) own a negligible 0.6%.
Ownership Type
Individual investors dominate smaller portfolios, but companies become the majority owners in portfolios sized at 6-10 properties, controlling 86.7% of the assets in that tier.
Transactions
Landlords are strong net buyers with a 12.8x buy-to-sell ratio in Q4 (64 buys vs. 5 sells), indicating aggressive portfolio expansion, while institutional investors were completely inactive.
Market Narrative

The single-family rental market in Brown County, Wisconsin, is fundamentally a story of local, small-scale enterprise, not large-scale corporate investment. Landlords own a modest 2,267 properties, just 2.9% of the county's total SFR housing stock. This portfolio is firmly in the hands of individuals, who own 76.0% of these homes. The market structure is overwhelmingly decentralized, with mom-and-pop landlords (1-10 properties) controlling 94.3% of investor-owned inventory, while institutional firms (1,000+ properties) have a barely detectable footprint at just 0.6%.

Investor behavior in Brown County is characterized by strategic and aggressive acquisition. In Q4 2025, landlords were highly active net buyers, purchasing nearly 13 homes for every one they sold. They demonstrated a keen ability to find value, acquiring properties at a remarkable 21.4% discount compared to traditional homeowners—an average savings of $76,950 per home. This activity is fueled by new entrants, with 59 new single-property landlords joining the market in Q4 alone. Notably, these new investors tend to buy higher-priced homes ($293,526) while more established, larger local landlords target lower-cost assets ($104,250).

The key takeaway for the Brown County housing market is its insulation from national institutional trends. The rental landscape is shaped by local entrepreneurs expanding their portfolios one or two properties at a time. The absence of inter-landlord trading suggests a stable, buy-and-hold environment where assets are acquired from the primary housing market to serve long-term rental demand. This dynamic indicates a healthy, ground-up rental market driven by community-level investment rather than a speculative, high-velocity corporate one.

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.

TierPropertiesCategory
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 GeneratedMarch 17, 2026 at 10:14 PM
Data PeriodQ4 2025
Geography LevelCounty
GeographyBrown (WI)
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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