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

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)
79,402
Total Investors in Brown (WI)
2,755
Investor Owned SFR in Brown (WI)
2,076(2.6%)
Individual Landlords
Landlords
2,348
SFR Owned
1,583
Corporate Landlords
Landlords
407
SFR Owned
524
Understanding Property Counts

Distinct Count Methodology: The total 2,076 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 Brown County, Acquiring 10% of Homes at a 16.4% Discount
Investors own 2,076 SFR properties in Brown County, representing 2.6% of the market. Small, individual landlords are the primary drivers, controlling 93.2% of investor housing while securing significant discounts. In Q1 2026, landlords were aggressive net buyers, acquiring properties for 16.4% less than traditional homeowners, with zero recorded activity from institutional investors.
Landlord Owned Current Holdings
Investors hold 2,076 SFR properties in Brown County, with individuals owning 76.3%.
The investor portfolio is heavily weighted towards cash ownership, with 1,328 properties owned outright versus 748 that are financed. Of the total portfolio, 1,828 properties are classified as rentals. Individual landlords (2,348) vastly outnumber company landlords (407).
Landlord vs Traditional Homeowners
Landlords paid 16.4% less than homeowners in Q1, an average discount of $59,743 per property.
The pricing advantage for landlords represents a sharp reversal from 2025, where they paid premiums in Q1 (16.5%) and Q2 (9.8%). This demonstrates significant market volatility and a shift in purchasing power. Landlord acquisition prices in Q1 2026 averaged $304,156.
Current Quarter Purchases
Investors purchased 10.0% of all SFR properties sold in the fourth quarter of 2025.
Mom-and-pop landlords (1-10 properties) were the driving force, accounting for 51 of the 58 investor purchases (87.9%). Institutional investors (1000+ properties) made zero acquisitions, showing their absence from the Brown County market.
Ownership by Tier
Mom-and-pop landlords control 93.2% of all investor-owned SFRs in Brown County.
This massive share, representing 1,952 properties, leaves just 0.7% (14 properties) under the control of institutional investors. The market is overwhelmingly dominated by single-property landlords, who alone own 80.0% of all investor-held housing.
Ownership by Tier & Type
Companies become the majority property owners starting at the 6-10 property tier.
While individuals own 85.0% of single-property portfolios, companies control 92.7% of portfolios in the 6-10 property range. This marks a clear crossover point where business entities take over from individual owners as portfolio size increases.
Geographic Distribution
The 54115 and 54304 zip codes are hotspots for investor activity in Brown County.
The 54115 zip code contains 396 investor-owned properties, the highest count in the county. Meanwhile, the 54154 zip code shows a 100.0% investor ownership rate, suggesting a highly concentrated or specialized area.
Historical Transactions
Landlords are aggressive net buyers, acquiring 4.5 times more properties than they sold in Q1 2026.
This trend of accumulation is consistent over time, with a 9.4x buy/sell ratio in 2025 and a 5.9x ratio in 2024. There was no recorded transaction activity for institutional (1000+) investors, reinforcing their passive role in the market.
Current Quarter Transactions
Landlords were involved in 10.0% of all SFR transactions in the first quarter of 2026.
Single-property investors dominated the activity, accounting for 68 of the 82 landlord transactions. These entry-level buyers paid an average of $303,751, while a two-property investor paid $830,000 for a single acquisition, showing wide price disparity.

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 2,076 SFR properties in Brown County, with individuals owning 76.3%.
Detailed Findings

In Brown County, real estate investors hold a portfolio of 2,076 Single-Family Residential (SFR) properties, making up 2.6% of the total 79,402 SFRs in the market.

The ownership structure is overwhelmingly dominated by small-scale operators, with individual investors owning 1,583 properties, or 76.3% of the total investor portfolio. Companies account for the remaining 524 properties (25.2%).

This individual dominance is also reflected in the entity count, where there are 2,348 individual landlords compared to just 407 company landlords, a ratio of nearly 6 to 1.

A significant portion of the investor portfolio is held without financing. Cash purchases account for 1,328 properties, substantially outnumbering the 748 properties that are financed, signaling a well-capitalized investor base.

The portfolio is clearly geared towards rental income, with 1,828 properties identified as rented, underscoring the primary strategy for investors in the region.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords paid 16.4% less than homeowners in Q1, an average discount of $59,743 per property.
Detailed Findings

In the first quarter of 2026, landlords demonstrated a strong purchasing advantage, acquiring properties for an average price of $304,156. This was 16.4% less than the $363,899 paid by traditional homeowners, translating to a substantial $59,743 discount on a typical transaction.

This Q1 discount marks a significant reversal from the previous year. In Q1 2025, landlords paid a 16.5% premium ($58,103 more than homeowners), and in Q2 2025, they paid a 9.8% premium ($36,944 more). This volatility indicates a shift in market dynamics, favoring investors in the most recent quarter.

The average price for pandemic-era acquisitions (2020-2023) stood at $272,675, while 2024 prices averaged $372,136. The current Q1 2026 price of $304,156 suggests a market correction from the highs seen in 2024 and 2025.

The data highlights a clear trend of fluctuating price gaps between landlords and homeowners, moving from significant premiums paid by investors in early 2025 to a deep discount in early 2026.

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 10.0% of all SFR properties sold in the fourth quarter of 2025.
Detailed Findings

Landlords captured a 10.0% share of the Brown County housing market in the fourth quarter of 2025, purchasing 58 out of 582 total SFRs sold.

The acquisition activity was almost entirely driven by small-scale investors. Mom-and-pop landlords, who own between 1 and 10 properties, were responsible for 87.9% of all investor purchases, acquiring 51 homes.

First-time or single-property investors were the most active group, with 68 new entities purchasing 46 properties. This represents 79.3% of all homes bought by investors during the quarter, signaling a healthy influx of new market participants.

In stark contrast, institutional investors with portfolios of over 1,000 properties made no purchases in Q4, highlighting that the market's activity is concentrated at the smallest end of the investor spectrum.

Mid-size landlords (11-50 properties) also showed modest activity, with 4 entities collectively purchasing 7 properties, or 12.1% of the investor total.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords control 93.2% of all investor-owned SFRs in Brown County.
Detailed Findings

The investor landscape in Brown County is defined by the dominance of small landlords. Mom-and-pop investors (Tiers 01-04, holding 1-10 properties) control a staggering 93.2% of all investor-owned SFRs.

Single-property landlords (Tier 01) are the backbone of this market, owning 1,675 properties. This single group accounts for 80.0% of the entire investor-owned housing stock, demonstrating a highly fragmented ownership base.

Conversely, institutional investors (Tier 09, 1000+ properties) have a negligible footprint, controlling just 14 properties, which amounts to a mere 0.7% of the investor market. This finding challenges the narrative of large-scale corporate ownership in this specific region.

Mid-size landlords (11-100 properties) represent a small fraction of the market, collectively owning 122 properties, or 5.8% of the total.

The distribution clearly shows that the rental market in Brown County is primarily supplied by local, small-scale operators rather than large, out-of-state corporations.

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 starting at the 6-10 property tier.
Detailed Findings

A distinct crossover point exists in ownership structure as portfolios grow. While individual investors dominate the smaller tiers, companies become the majority owners in the 'Small landlord' tier of 6-10 properties, holding 51 of 55 properties (92.7%).

Individual investors overwhelmingly control the entry-level tier, owning 1,445 of the 1,675 single-property investor homes (85.0%). Their majority ownership continues through the 2-property (56.1%) and 3-5 property (67.9%) tiers.

The shift to corporate ownership is stark. After individuals dominate portfolios of up to 5 properties, companies immediately take a commanding 92.7% share in the next tier up (6-10 properties), indicating a strategic shift to formal business structures for larger holdings.

Even in the largest non-institutional tier (101-1000 properties), ownership is split evenly, with individuals and companies each holding 3 properties (50.0%). This suggests that even at larger scales, individual operators remain active in Brown County.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
The 54115 and 54304 zip codes are hotspots for investor activity in Brown County.
Detailed Findings

Investor activity in Brown County is concentrated in specific zip codes. The 54115 area leads by volume, with 396 investor-owned SFRs, representing 3.0% of that zip code's housing stock.

Following closely in terms of volume is the 54304 zip code, which contains 281 investor properties and has an investor ownership rate of 3.2%.

When analyzing by ownership rate, the 54154 zip code stands out with a 100.0% investor ownership rate, indicating it may be a unique area with specialized housing, such as a vacation rental community or a small, fully-rented subdivision.

Another area with a relatively high concentration is the 54165 zip code, where investors own 5.6% of the SFR properties.

These pockets of high activity, both by count and percentage, show that investors are targeting specific neighborhoods within Brown County rather than applying a broad, county-wide strategy.

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
Landlords are aggressive net buyers, acquiring 4.5 times more properties than they sold in Q1 2026.
Detailed Findings

Investors in Brown County have consistently been in a phase of portfolio accumulation. In the first quarter of 2026, they purchased 82 properties while selling only 18, resulting in a net gain of 64 properties and a strong buy-to-sell ratio of 4.5-to-1.

This net-buyer behavior is a long-term trend. Throughout 2025, landlords acquired 556 SFRs and sold just 59, for a net increase of 497 properties. Similarly, in 2024, they added a net 534 properties to their portfolios (643 buys vs. 109 sells).

The transaction data reveals a highly liquid and active market driven by smaller investors, who are consistently expanding their holdings year after year.

Notably, there was zero buy or sell activity recorded for institutional investors in any recent timeframe. This complete absence from the transaction logs confirms that market dynamics are shaped entirely by mom-and-pop and mid-size landlords.

Current Quarter Transactions

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

Key Insight
Landlords were involved in 10.0% of all SFR transactions in the first quarter of 2026.
Detailed Findings

In Q1 2026, landlords participated in 82 of the 822 total SFR transactions in Brown County, capturing a 10.0% share of market activity.

The vast majority of this activity came from the smallest investors. Single-property landlords (Tier 01) were involved in 68 transactions, paying an average price of $303,751.

A small portion of transactions occurred between investors. In the 11-20 property tier, 20.0% of purchases (1 of 5) were from other landlords, whereas for single-property buyers, only 1.5% (1 of 68) came from an existing landlord.

Purchase prices varied dramatically across tiers. The highest price was paid by a two-property landlord at $830,000 for one property, while the lowest average was seen in the 11-20 property tier at $165,880, indicating diverse acquisition strategies.

Institutional investors (Tier 09) were completely inactive, with zero transactions recorded, cementing the narrative that Brown County's investor market is a small-scale, local affair.

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

Small individual investors shape Brown County's market, owning 93.2% of rental homes and buying at a 16.4% discount.
Holdings
Landlords own 2,076 SFR properties, representing 2.6% of Brown County's market. The portfolio is dominated by individual investors, who hold 1,583 properties (76.3%) compared to 524 (25.2%) owned by companies.
Pricing
In Q1 2026, landlords secured a significant 16.4% discount compared to traditional homeowners, paying an average of $304,156 versus the homeowner price of $363,899, a savings of $59,743 per property.
Activity
Investors acquired 10.0% of all homes sold in the market's latest quarter (58 properties), with activity almost entirely driven by mom-and-pop landlords (87.9% of investor purchases). The quarter saw 68 new single-property landlord entities enter the market.
Market Share
Small mom-and-pop landlords (1-10 properties) control 93.2% of all investor-owned housing in Brown County. In stark contrast, institutional investors with 1,000+ properties hold just 0.7% of the market.
Ownership Type
Individual investors are the primary owners in smaller portfolios, but companies become the majority owners in portfolios sized at 6-10 properties, where they control 92.7% of the homes.
Transactions
Landlords are aggressive net buyers with a 4.56x buy-to-sell ratio in Q1 2026 (82 buys vs. 18 sells), actively expanding their portfolios. Institutional investors reported zero transactions, making them a non-factor in market activity.
Market Narrative

In Brown County, Wisconsin, the real estate investing landscape is overwhelmingly shaped by small, individual operators, not large corporations. Investors own 2,076 single-family homes, or 2.6% of the total market. This portfolio is firmly in the hands of mom-and-pop landlords (1-10 properties), who control a commanding 93.2% of all investor-held properties. Individual investors alone own 76.3% of the stock, while institutional firms with over 1,000 properties have a negligible presence, owning just 0.7%.

Investor behavior in the most recent quarter signals a confident and opportunistic strategy. Landlords acquired 10.0% of all homes sold, demonstrating active participation in the market. They are also savvy buyers, securing a 16.4% price discount compared to traditional homeowners in Q1 2026, a savings of nearly $60,000 per property. Transaction data confirms a strong growth trend, as landlords acted as decisive net buyers, purchasing 4.56 times more homes than they sold, with zero activity from institutional players.

The key takeaway from this Investor Pulse report is that Brown County's rental housing market is sustained by a fragmented base of local entrepreneurs. The market is characterized by an influx of new single-property investors and the strategic growth of existing small portfolios. The absence of institutional capital and the significant purchasing advantages secured by local landlords suggest a healthy, competitive environment for small-scale investment, defying the national narrative of corporate consolidation.

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 05:31 AM
Data Period Q1 2026
Geography Level County
Geography Brown (WI)
×
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 Brown (WI) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-wi-brown/. Licensed under CC BY-NC-ND 4.0.