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

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

Market Overview

Total SFR Properties in Green (WI)
10,252
Total Investors in Green (WI)
127
Investor Owned SFR in Green (WI)
90(0.9%)
Individual Landlords
Landlords
108
SFR Owned
76
Corporate Landlords
Landlords
19
SFR Owned
15
Understanding Property Counts

Distinct Count Methodology: The total 90 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 Green County's Small Rental Market, Securing Deep Discounts
Investors own just 91 properties in Green County, representing 0.9% of the market. Individual, small-scale landlords control 96.7% of this inventory, while institutional investors hold only 2.2%. In the latest quarter, investor activity was minimal but strategic, with a single purchase made at a 68.4% discount compared to traditional homeowners.
Landlord Owned Current Holdings
Investors own 91 SFRs in Green County, with individual landlords holding 84.4% of the portfolio.
The majority of investor-owned properties are held with cash (69 properties) rather than financing (21 properties). The portfolio is heavily rental-focused, with 77 of the 91 properties identified as rented, representing an 84.6% rental concentration.
Landlord vs Traditional Homeowners
In Q1 2026, landlords secured a massive 68.4% discount, paying $140,000 versus the homeowner average of $443,445.
The price gap between landlords and homeowners widened dramatically from Q3 2025, when the discount was only 4.9% ($17,521). The average landlord acquisition price in Q1 2026 ($140,000) is significantly lower than the average from the 2020-2023 period ($246,248), indicating a shift towards acquiring lower-cost properties.
Current Quarter Purchases
Landlords accounted for 5.6% of home purchases in the last quarter, with a single acquisition.
Mom-and-pop investors were responsible for 100% of the landlord purchase activity, as a single new landlord entered the market by acquiring one property. Institutional investors (1,000+ properties) made zero purchases in the quarter.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control a commanding 96.7% of investor-owned SFRs in Green County.
Institutional investors (1,000+ properties) have a minimal presence, owning just 2 properties, or 2.2% of the investor-owned inventory. Single-property landlords are the largest group, holding 75 properties, which is 82.4% of the total investor portfolio.
Ownership by Tier & Type
Individual investors are the dominant owners across all small portfolio tiers, never ceding majority ownership to companies.
In the single-property tier, individuals own 88.2% of the properties. The closest companies come to parity is in the two-property tier, where ownership is split 50/50 between one individual and one company.
Geographic Distribution
Investor activity is most concentrated in zip code 53520, which holds 17 investor-owned properties.
While 53520 has the highest count, zip code 53522 has the highest investor ownership rate at 1.6%. All zip codes in the county have very low investor penetration, with the top rates hovering around 1.0% to 1.6%.
Historical Transactions
Historical transaction data for Green County is unavailable, preventing analysis of net buyer or seller status.
Due to the absence of historical data, it is not possible to determine the volume of landlord-to-landlord sales or compare average buy and sell prices over time. The lack of data suggests very low transaction liquidity among investors in this market.
Current Quarter Transactions
Landlords were involved in 4.0% of transactions in Q1 2026, representing a single purchase.
The one transaction was conducted by a new, single-property investor who paid $140,000. This purchase was not made from another landlord, and there was zero transaction activity from institutional 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 91 SFRs in Green County, with individual landlords holding 84.4% of the portfolio.
Detailed Findings

Investor ownership in Green County is modest, comprising 91 Single-Family Residential (SFR) properties, which is less than 1% of the total 10,252 SFRs in the market. This indicates a market predominantly composed of traditional homeowners rather than a significant rental base.

The ownership structure is overwhelmingly tilted towards individual real estate investing. Individuals own 76 of the 91 properties (84.4%), while companies account for the remaining 15 properties (16.7%). This 5-to-1 ratio of individual-to-company owned properties highlights the 'mom-and-pop' nature of the local rental market.

From an entity perspective, there are 127 distinct landlords in the county, with 108 being individuals and 19 classified as companies. This shows that most landlords, both individual and corporate, own very small portfolios, often just a single property.

A significant portion of the investor portfolio is owned outright, with 69 properties held with cash compared to only 21 that are financed. This suggests a low-leverage, risk-averse investment strategy is common among local landlords.

The portfolio is clearly geared towards generating rental income, with 77 of the 91 properties (84.6%) actively rented. This high rental penetration underscores the primary business objective of investors operating in Green County.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
In Q1 2026, landlords secured a massive 68.4% discount, paying $140,000 versus the homeowner average of $443,445.
Detailed Findings

A stark pricing disparity emerged in Q1 2026, where landlords acquired property at an average price of $140,000. This was a staggering $303,445, or 68.4%, less than the average traditional homeowner purchase price of $443,445, signaling a focus on deeply discounted or distressed assets.

This massive price gap represents a sharp deviation from recent trends. In Q3 2025, the discount was a more conventional 4.9% ($17,521). The widening of this gap suggests a potential shift in investor strategy toward opportunistic, below-market-value acquisitions.

Recent acquisition prices also defy the broader appreciation trend seen in prior years. The Q1 2026 average of $140,000 is 43.1% below the average price of $246,248 that landlords paid during the 2020-2023 period.

While investor purchase volume has been low, the pricing data indicates a clear strategy: avoid competing with homeowners at market rates and instead target properties with significant built-in equity or those requiring substantial renovation.

The price for the single Q1 2026 acquisition also sits well below prices from 2025 and 2024, which averaged $290,750 and $351,762, respectively. This further highlights the outlier nature of the most recent purchase and the value-driven approach of the active investor.

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 accounted for 5.6% of home purchases in the last quarter, with a single acquisition.
Detailed Findings

Investor purchasing activity in Green County was very limited in the most recent quarter, with landlords acquiring just 1 of the 18 total SFRs sold, a market share of 5.6%. This low volume suggests a highly selective and patient approach from local investors.

The entirety of investor buying activity was driven by the smallest players. Mom-and-pop landlords (1-10 properties) accounted for 100% of the acquisitions, with institutional investors making no purchases.

Specifically, the market saw the entry of one new landlord. The single transaction was made by an entity in the 'Single-property' tier, indicating a new entrant to the rental market rather than portfolio expansion by an existing landlord.

The lack of activity from mid-size and institutional tiers reinforces the market's character as one dominated by small, local operators. There is no evidence of large-scale capital deployment in Green County's SFR market.

This low purchase volume aligns with the pricing data, which shows investors are not competing for properties at typical market rates. Instead, the data points to a market where investors wait for rare, opportunistic deals rather than engaging in consistent acquisition.

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 96.7% of investor-owned SFRs in Green County.
Detailed Findings

The investor landscape in Green County is overwhelmingly dominated by small-scale operators. Mom-and-pop landlords, defined as those owning 1-10 properties, collectively control 96.7% of all investor-owned SFRs.

Single-property landlords (Tier 01) form the bedrock of the market. This group owns 75 properties, accounting for 82.4% of the entire investor-held inventory. This highlights that the typical landlord in this area is a first-time or small-scale investor.

In stark contrast, institutional investors (Tier 09, 1,000+ properties) have a negligible footprint, owning just 2 properties, or 2.2% of the investor market. This finding runs counter to the narrative of widespread corporate ownership in many other markets.

Mid-size landlords are also scarce. Investors owning between 3-5 properties hold 11.0% of the inventory, but all other tiers combined, from 2 properties up to the largest portfolios, account for less than 18% of the total.

This distribution reveals a highly fragmented market with a long tail of very small investors, rather than a consolidated market controlled by a few large players. This structure suggests a stable, locally-driven rental environment.

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
Individual investors are the dominant owners across all small portfolio tiers, never ceding majority ownership to companies.
Detailed Findings

Individual investors form the backbone of Green County's landlord community across every small portfolio tier. In the largest segment, single-property landlords, individuals own 67 properties (88.2%) compared to just 9 owned by companies (11.8%).

The trend of individual dominance continues in larger tiers. For landlords with 3-5 properties, individuals own 9 out of the 10 properties (90.0%), demonstrating that even as portfolios grow slightly, they typically remain under personal ownership.

A crossover point where companies become the majority owners does not exist within the observed tiers in Green County. The data shows no tier where company ownership surpasses that of individuals.

The only tier where companies achieve a significant share is the two-property category. Here, ownership is evenly split, with one property held by an individual and one by a company, each representing 50.0% of that small tier.

This ownership pattern suggests that the path to professionalizing a rental portfolio through incorporation is not a common one in this market. Most investors appear to operate under their own name, reinforcing the local, 'mom-and-pop' character of the rental scene.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is most concentrated in zip code 53520, which holds 17 investor-owned properties.
Detailed Findings

Geographic analysis reveals that investor ownership in Green County, while sparse overall, is concentrated in a few key zip codes. The zip code 53520 is the leader by sheer volume, containing 17 investor-owned properties, which represents 1.0% of its local SFR housing stock.

However, the highest rate of investor penetration is found in zip code 53522, where landlords own 1.6% of the properties. This distinction between leadership in raw count versus percentage highlights different pockets of investor focus.

The top five zip codes by investor property count are 53520 (17 properties), 53502 (9 properties), 53508 (6 properties), 53522 (4 properties), and 53536. Together, these areas house the majority of the county's rental inventory.

Investor ownership rates are consistently low across the county. The top rates in 53522 (1.6%), 53502 (1.3%), and 53520 (1.0%) are well below national averages, confirming that this is not a target market for large-scale rental acquisition strategies.

The data suggests that investor activity is localized and likely driven by specific neighborhood characteristics or opportunities rather than a broad, county-wide acquisition strategy. These findings can be explored further in detailed market reports.

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
Key Insight
Historical transaction data for Green County is unavailable, preventing analysis of net buyer or seller status.
Detailed Findings

A full analysis of historical transaction trends for Green County is not possible, as the dataset contains no records of past buy or sell activities for either the overall landlord market or institutional investors.

This absence of data is an insight in itself, suggesting that the investor market in this county has extremely low liquidity. Properties owned by investors are likely held for the long term, with very few being sold or traded between landlords.

Consequently, key metrics such as the historical buy/sell ratio cannot be calculated. It is impossible to determine whether landlords have been net buyers or net sellers over time, a crucial indicator of market sentiment.

Analysis of inter-landlord transactions is also precluded. The data does not allow for measurement of how frequently investors purchase properties from or sell to one another, which would typically shed light on the maturity and interconnectedness of the local investor network.

Similarly, a comparison of average buy prices versus average sell prices over time, which can imply profit margins or market timing, cannot be performed. The market appears to be characterized by buy-and-hold strategies rather than active trading.

Current Quarter Transactions

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

Key Insight
Landlords were involved in 4.0% of transactions in Q1 2026, representing a single purchase.
Detailed Findings

In Q1 2026, landlords played a minimal role in the Green County transaction market, participating in just 1 of the 25 total SFR transactions for a market share of 4.0%.

All investor transaction activity was confined to the smallest tier. The single purchase was made by a 'Single-property' (Tier 01) landlord, reaffirming that market activity is driven by new or small-scale entrants, not large portfolio owners.

The average purchase price for this transaction was $140,000. With no other transactions from other tiers, a price comparison across investor sizes is not possible for this quarter.

The data shows zero percent of investor purchases came from other landlords. The new investor acquired their property from a non-investor, such as a traditional homeowner, indicating a net addition to the rental stock rather than a simple transfer of assets within the investor community.

Consistent with other findings, institutional investors (1,000+ properties) were completely inactive, recording zero transactions in Q1. The transactional data paints a picture of a quiet, opportunistic market dominated by new mom-and-pop landlords.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Mom-and-Pop Investors Define Green County's Rental Market with 96.7% Ownership and Deep Purchase Discounts
Holdings
Investors own 91 SFR properties in Green County, 0.9% of the total market. Individual investors hold a clear majority with 76 properties (84.4%), while companies own the remaining 15 (16.7%).
Pricing
In Q1 2026, landlords achieved an exceptional 68.4% price discount compared to homeowners, paying an average of $140,000 while homeowners paid $443,445.
Activity
Landlord purchase activity was minimal in Q1, accounting for 5.6% of all sales (1 property). This lone purchase was by a new single-property landlord, with no activity from institutional tiers.
Market Share
Small 'mom-and-pop' landlords (1-10 properties) overwhelmingly control the market with 96.7% of investor-owned housing. In contrast, institutional investors (1,000+ properties) hold just 2.2%.
Ownership Type
Individual investors dominate smaller portfolios, holding 84.4% of all investor properties. Companies do not achieve majority ownership at any observed portfolio size in this market.
Transactions
Landlords accounted for 4.0% of Q1 transactions (1 of 25). Historical data is unavailable to determine a net buyer/seller ratio, but the single Q1 transaction was a purchase, not a sale.
Market Narrative

The real estate investor landscape in Green County, Wisconsin, is characterized by a small footprint and overwhelming dominance by local, individual operators. Investors own a total of 91 single-family properties, a mere 0.9% of the county's housing stock. The market structure is definitively 'mom-and-pop,' with small-scale landlords (1-10 properties) controlling 96.7% of all investor-held inventory. Individuals own 84.4% of these properties, dwarfing the 16.7% held by companies. This contrasts sharply with national trends, as institutional investors with portfolios over 1,000 units hold just 2.2% of the local investor market.

Investor behavior in the most recent quarter was highly selective and value-driven. Landlords were involved in just 4.0% of all transactions, making a single purchase. However, this acquisition was remarkably strategic, secured at $140,000, a 68.4% discount compared to the $443,445 average paid by traditional homeowners. This signals a clear strategy of avoiding market-rate competition in favor of opportunistic, below-market deals. The lack of historical transaction data suggests a buy-and-hold mentality prevails, with very low asset turnover among investors.

The key takeaway from this Investor Pulse report is that Green County is a stable market insulated from the large-scale investment trends seen elsewhere. The market is defined by small, individual investors who are adding to the rental stock patiently and opportunistically. For local homeowners and real estate professionals, this means the competitive pressure from cash-heavy investors is minimal, and the rental market is sustained by a fragmented base of community-level landlords rather than large corporate entities.

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 05:38 AM
Data Period Q1 2026
Geography Level County
Geography Green (WI)
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Chart Section2 Coverage
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
Chart Section6 Prices Alt
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Chart Section6 Yoy Comparison
Chart Section6 Yoy Comparison
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Chart Section6 Trends
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Chart Section7 Purchases
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
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
Chart Section11 Buysell
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Chart Section11 Buysell Price
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Chart Section12 Transactions
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Chart Section12 Prices
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Chart Section12 Prices Detail
Chart Section12 Prices Detail

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.

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

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How to cite this report

BatchData. (2026). Q1 2026 Green (WI) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-wi-green/. Licensed under CC BY-NC-ND 4.0.