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

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

Market Overview

Total SFR Properties in Dane (WI)
124,830
Total Investors in Dane (WI)
11,975
Investor Owned SFR in Dane (WI)
8,974(7.2%)
Individual Landlords
Landlords
10,401
SFR Owned
7,276
Corporate Landlords
Landlords
1,574
SFR Owned
1,927
Understanding Property Counts

Distinct Count Methodology: The total 8,974 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 Dane County's Market, Owning 97.8% as Institutions Exit
Investors own 8,974 SFRs in Dane County (7.2% of the market), with mom-and-pop landlords controlling a dominant 97.8% share. In the last quarter, landlords captured 13.4% of sales, but their pricing advantage over homeowners has shrunk to just 0.1%, while institutional investors are net sellers.
Landlord Owned Current Holdings
Investors own 8,974 SFR properties in Dane County, with individuals holding 81.1% of the portfolio.
Cash-backed ownership slightly outweighs financing, with 4,853 properties owned outright versus 4,121 financed. The portfolio is heavily focused on rentals, with 96.9% of investor-owned properties (8,695) being non-owner-occupied.
Landlord vs Traditional Homeowners
The investor pricing advantage has vanished, with landlords paying just 0.1% ($610) less than homeowners in Q1 2026.
This marks a significant tightening from previous quarters, where the landlord discount was as high as 7.6% ($37,619) in Q1 2025. Prices have appreciated substantially, rising from a $395,328 average in 2020-2023 to $531,450 in Q1 2026.
Current Quarter Purchases
Landlords purchased 13.4% of all SFR properties sold in the last quarter, totaling 101 acquisitions.
Mom-and-pop investors were responsible for 100% of these purchases. Activity was dominated by new market entrants, with 119 single-property landlord entities acquiring 91 homes.
Ownership by Tier
Mom-and-pop landlords control a staggering 97.8% of investor-owned SFRs in Dane County.
In contrast, institutional investors (1,000+ properties) have a minimal presence, owning just 5 properties, or 0.1% of the total. Single-property landlords alone account for 81.2% of all investor-owned homes.
Ownership by Tier & Type
Companies become the majority property owners starting in the 6-10 property tier, holding a 55.4% share.
While individuals dominate smaller portfolios with an 84.2% share of single-property holdings, company ownership rapidly accelerates in larger tiers, reaching 90.1% for portfolios of 11-20 properties.
Geographic Distribution
Investor ownership is most concentrated in zip codes 53711 (764 properties) and 53704 (752 properties).
The areas with the highest investor ownership *rate* are different, with smaller zips like 53507 (100.0%) and 53707 (50.0%) showing the highest penetration. This distinction separates high-volume hubs from niche, investor-dominated submarkets.
Historical Transactions
Landlords in Dane County are aggressive net buyers, acquiring 7.3 properties for every 1 they sold in Q1 2026.
This accumulation trend has been consistent, with landlords being net buyers by 533 properties in 2025 and 621 in 2024. In stark contrast, institutional investors were net sellers in 2024, divesting more properties than they acquired.
Current Quarter Transactions
Landlords were involved in 13.1% of all SFR transactions in Q1 2026, with all 132 acquisitions made by mom-and-pop investors.
Pricing varied by scale, with new single-property investors paying an average of $520,940, while small landlords (3-5 properties) paid more at $657,500. New investors rarely buy from other landlords, with only 1.7% of their purchases sourced from an existing investor.

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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 8,974 SFR properties in Dane County, with individuals holding 81.1% of the portfolio.
Detailed Findings

In Dane County, investors hold 8,974 Single-Family Residential (SFR) properties, which constitutes 7.2% of the total 124,830 SFRs in the market. This penetration rate indicates a significant, yet not dominant, presence of real estate investing in the local housing ecosystem.

The ownership landscape is overwhelmingly characterized by individual investors rather than corporations. Individuals own 7,276 properties, or 81.1% of the investor-owned market, compared to 1,927 properties (21.5%) owned by companies. This highlights the 'mom-and-pop' nature of real estate investment in the region.

When examining financing, the portfolio is almost evenly split but leans towards liquidity. Cash purchases account for 4,853 properties, while 4,121 are financed. This suggests a substantial portion of local investors have the capital to acquire properties without relying on debt.

The primary use for these properties is clear: 8,695 of the 8,974 homes (96.9%) are classified as rented or non-owner-occupied. This confirms that the vast majority of investor-owned SFRs function as rental housing for the community, rather than serving as second homes or speculative vacant holdings.

The number of individual landlord entities (10,401) far surpasses company entities (1,574), further cementing the idea that the local market is driven by a large number of small-scale participants rather than a few large firms.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
The investor pricing advantage has vanished, with landlords paying just 0.1% ($610) less than homeowners in Q1 2026.
Detailed Findings

In a striking shift, the traditional investor discount has all but disappeared in Dane County. In Q1 2026, landlords paid an average of $531,450 per property, a negligible 0.1% or $610 less than the $532,060 paid by traditional homeowners, signaling intense market competition.

This razor-thin margin is a recent development. The price gap was significantly wider in prior periods, with landlords enjoying discounts of 7.6% ($37,619) in Q1 2025 and 5.6% ($30,326) in Q3 2025. The rapid erosion of this advantage suggests investors are having to bid more aggressively to win properties.

Overall acquisition prices have been on a steep upward trajectory. The average price paid by investors has climbed from $395,328 during the 2020-2023 period to $503,510 in 2024 and now $531,450 in the first quarter of 2026.

The combination of rising prices and a vanishing discount indicates that Dane County has become a seller's market where investors have lost much of their historical negotiating power and are competing on nearly equal footing with retail buyers.

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 purchased 13.4% of all SFR properties sold in the last quarter, totaling 101 acquisitions.
Detailed Findings

During the fourth quarter of 2025, investors acquired 101 SFR properties, securing a 13.4% share of the 756 total homes sold in Dane County. This level of activity demonstrates a steady and continued interest from investors in the local market.

The acquisition activity was driven exclusively by smaller players. Mom-and-pop landlords (Tiers 01-04) accounted for 100% of all investor purchases, while institutional-scale investors (Tier 09) made zero acquisitions, underscoring their lack of presence in the market's active buying pool.

A significant trend is the influx of new investors. The single-property tier was the most active, with 119 distinct entities purchasing 91 properties. This represents 88.3% of all landlord acquisitions and signals a healthy pipeline of new entrants into the rental market.

The data shows that market growth is a grassroots phenomenon. The overwhelming majority of buying is done by individuals or small entities purchasing their first, second, or third rental property, not by large corporations expanding their portfolios.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords control a staggering 97.8% of investor-owned SFRs in Dane County.
Detailed Findings

The structure of real estate investment in Dane County is definitively decentralized and dominated by small-scale owners. Landlords with portfolios of 1-10 properties, often called 'mom-and-pops,' own a commanding 97.8% of all investor-held SFRs.

This market structure directly refutes the narrative of large-scale corporate ownership. Institutional investors with over 1,000 properties have a negligible footprint, holding just 5 properties in total, which equates to only 0.1% of the investor market. This finding is central to understanding the local housing dynamics.

Ownership is most concentrated at the very smallest end of the spectrum. Landlords with just a single investment property (Tier 01) collectively own 7,449 homes, making up 81.2% of the entire investor-owned portfolio.

Adding the next two tiers reveals an even greater concentration: investors owning between 1 and 5 properties control a combined 96.1% of the market (81.2% from Tier 1, 6.2% from Tier 2, and 8.7% from Tier 3). This illustrates that the rental market's stability and character are shaped by thousands of individual local stakeholders.

The data in this property ownership by owner type report highlights a market built on a foundation of small, local investment rather than large, remote capital.

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 majority property owners starting in the 6-10 property tier, holding a 55.4% share.
Detailed Findings

A clear pattern emerges when analyzing ownership by entity type across portfolio sizes: individuals build the market's base, while companies dominate the process of scaling.

Individuals overwhelmingly own smaller portfolios. They account for 84.2% of single-property investments, 68.2% of two-property portfolios, and 62.4% of portfolios with 3-5 properties. This demonstrates that the entry point for real estate investing in Dane County is typically personal ownership.

The tipping point occurs in the 6-10 property tier. At this level, companies take a 55.4% majority ownership stake, indicating that investors tend to incorporate as their portfolios grow to a more moderate size.

Beyond this crossover, corporate ownership becomes the standard. Companies own a commanding 90.1% of properties in the 11-20 property tier and 66.7% in the 21-50 tier. This trend highlights a professionalization and formalization of operations as investment portfolios expand.

This progression from individual to corporate ownership as portfolios scale is a key structural feature of the Dane County investment landscape, suggesting a natural lifecycle for a growing real estate investor.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor ownership is most concentrated in zip codes 53711 (764 properties) and 53704 (752 properties).
Detailed Findings

Geographic analysis reveals that investor holdings in Dane County are not evenly distributed, but concentrated in several key zip codes. The top five zip codes by sheer volume of investor-owned properties are 53711 (764 properties), 53704 (752), 53590 (551), 53589 (538), and 53593 (518).

These five areas alone account for 3,135 properties, representing 35.0% of the total investor portfolio in the county. This shows a clear preference for certain neighborhoods and submarkets.

However, the markets with the highest *percentage* of investor ownership tell a different story. Niche zip codes like 53507 (100.0% investor-owned), 53707 (50.0%), and 53574 (44.4%) lead in penetration rates, suggesting these may be smaller areas with a high concentration of rental properties.

The divergence between volume leaders and rate leaders indicates distinct investment strategies. One approach targets larger, more liquid markets for steady acquisition, while another focuses on dominating smaller, specific submarkets where a high ownership stake is possible.

Understanding this geographic split is crucial for identifying where investors have the largest absolute presence versus where they constitute the majority of homeowners.

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 in Dane County are aggressive net buyers, acquiring 7.3 properties for every 1 they sold in Q1 2026.
Detailed Findings

Transaction data reveals a strong and sustained accumulation trend among Dane County landlords. In Q1 2026, they operated as decisive net buyers, purchasing 132 SFRs while selling only 18, a buy-to-sell ratio of 7.3-to-1.

This is not a short-term phenomenon. The net buying behavior was robust throughout the preceding two years. In 2025, investors added a net 533 properties to their portfolios (650 buys vs. 117 sells), and in 2024, they added a net 621 properties (775 buys vs. 154 sells).

A critical divergence appears when isolating the largest investors. While the overall market is in acquisition mode, institutional investors (1,000+ properties) are divesting. In 2024, they sold two properties for every one they purchased, positioning them as net sellers in the county.

This contrast is a key market insight: the growth of investor-owned housing in Dane County is being fueled exclusively by small and mid-sized landlords. The largest national players, to the small extent they are present, are reducing their local exposure.

The persistent net buying from mom-and-pop investors signals strong confidence in the local rental market's future performance.

Current Quarter Transactions

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

Key Insight
Landlords were involved in 13.1% of all SFR transactions in Q1 2026, with all 132 acquisitions made by mom-and-pop investors.
Detailed Findings

In the first quarter of 2026, landlord activity comprised 13.1% of all SFR transactions in Dane County, with investors executing 132 purchases out of a market total of 1,011. This represents a significant, consistent share of market activity.

All 132 of these transactions were conducted by mom-and-pop investors (portfolios of 1-10 properties). The most active group was new entrants, with 119 transactions coming from single-property landlords. Institutional investors logged zero transactions for the quarter.

A clear pricing strategy difference emerges between investor tiers. First-time investors in Tier 01 acquired properties at an average price of $520,940. In contrast, slightly more established landlords in the 3-5 property tier targeted more expensive assets, paying an average of $657,500.

The data on transaction sources is particularly revealing. New investors are primarily buying from the open market, not from their peers. Only 1.7% of purchases by single-property landlords were from another landlord, indicating they are competing directly against traditional homebuyers rather than participating in a closed investor-to-investor marketplace.

This low rate of inter-landlord trading at the entry level suggests the market is expanding with fresh inventory being converted to rentals, a trend visible across many market reports.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Mom-and-Pop Landlords Drive Dane County Market, Owning 97.8% as Institutions Exit
Holdings
Landlords own 8,974 SFR properties in Dane County (7.2% of the market), with individual investors holding 7,276 properties (81.1%) and companies owning 1,927 (21.5%).
Pricing
The landlord pricing advantage has nearly vanished in Dane County, with investors paying just 0.1% less than homeowners in Q1, a slim $610 average discount per property ($531,450 vs $532,060).
Activity
Investors purchased 13.4% of homes sold last quarter (101 properties), an effort dominated by new entrants as 119 single-property landlord entities entered the market.
Market Share
Small 'mom-and-pop' landlords (1-10 properties) overwhelmingly control the market with 97.8% of investor-owned housing, while institutional investors (1000+) own a minuscule 0.1%.
Ownership Type
Individual investors dominate smaller portfolios, but companies become the majority owners in portfolios of 6-10 properties and control over 90% of portfolios in the 11-20 property range.
Transactions
Landlords are aggressive net buyers with a 7.33x buy/sell ratio in Q1 (132 buys vs 18 sells), while the market's few institutional investors are net sellers.
Market Narrative

The single-family rental market in Dane County, Wisconsin is fundamentally a story of the small, local landlord. Investors own 8,974 SFR properties, representing 7.2% of the total market. This portfolio is overwhelmingly controlled by individuals, who own 81.1% of these homes. The market structure defies the national narrative of corporate dominance; 'mom-and-pop' investors with 1-10 properties control a staggering 97.8% of investor-owned housing, while large institutional firms own a mere 0.1%.

Investor behavior reflects this grassroots structure. In the most recent quarter, landlords purchased 13.4% of all homes sold, with 100% of that activity coming from small investors and a large influx of 119 new, single-property landlords. However, intense competition has eroded their traditional pricing power, with the discount compared to homeowners shrinking to just 0.1%. Transaction data shows landlords are in a firm accumulation phase, buying 7.3 homes for every one they sold, while the few institutional players are net sellers, signaling a retreat from the market.

The key takeaway for Dane County is that its rental housing stock is in the hands of local stakeholders, not distant corporations. Market growth is driven by new individuals entering the landlord business, not by large-scale acquisitions from Wall Street. This creates a competitive environment where investors must bid nearly as much as retail buyers, suggesting a mature and balanced market where deep discounts are a thing of the past. The health and direction of this market are tied to the financial stability and confidence of thousands of small investors.

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 05:35 AM
Data Period Q1 2026
Geography Level County
Geography Dane (WI)
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Chart Section2 Coverage
Chart Section2 Coverage
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Chart Section3 Ownership Donut
Chart Section3 Ownership Donut
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Chart Section3 Ownership Bar
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Chart Section4 Distribution
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
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
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 Section11 Yoy All Landlords
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 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.

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How to cite this report

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