Martin (MN) Investor Pulse Report (2026-Q1)

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

Market Overview

Total SFR Properties in Martin (MN)
6,930
Total Investors in Martin (MN)
921
Investor Owned SFR in Martin (MN)
962(13.9%)
Individual Landlords
Landlords
796
SFR Owned
752
Corporate Landlords
Landlords
125
SFR Owned
217
Understanding Property Counts

Distinct Count Methodology: The total 962 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 Martin County, acquiring properties at a 70.2% discount to homeowners
Investors own 962 SFR properties in Martin County, 13.9% of the market, with mom-and-pop landlords controlling 90.5% of that inventory. In Q1 2026, investors paid 70.2% less than traditional homeowners and continued to be aggressive net buyers, acquiring over 6 properties for every 1 sold.
Landlord Owned Current Holdings
Investors hold 962 properties in Martin County, with individuals owning a 78.2% majority share
The investor portfolio is heavily cash-based, with 74.3% of properties owned outright (715) versus only 25.7% financed (247). An overwhelming 95.6% of these properties are non-owner-occupied, signaling a strong focus on the rental market.
Landlord vs Traditional Homeowners
Investors in Q1 paid just $72,750 per property, a staggering 70.2% discount compared to homeowners
This price gap has widened significantly from 41.2% in Q1 2025 to 70.2% in Q1 2026. The average acquisition price for landlords has steadily declined over the past several years, while homeowner prices have remained much higher.
Current Quarter Purchases
Landlords acquired 20.8% of all homes sold in Q4 2025, with small investors driving all activity
Mom-and-pop landlords, owning between 1-10 properties, were responsible for 86.7% of all investor purchases. New single-property investors alone made up 80.0% of the buying, while institutional investors made zero acquisitions.
Ownership by Tier
Mom-and-pop landlords completely dominate Martin County, controlling 90.5% of all investor-owned SFRs
Single-property landlords are the largest single group, owning 59.5% of the total investor-held inventory. In contrast, institutional investors with over 1,000 properties have zero ownership in the county.
Ownership by Tier & Type
Individual investors dominate smaller portfolios, with companies gaining equal footing in the 11-20 property tier
In the single-property tier, individuals own 88.5% of homes. The ownership split approaches 50/50 in the 11-20 property tier, where individuals own 50.9% and companies own 49.1%.
Geographic Distribution
Investor activity is concentrated in Fairmont (56031), but smaller towns show the highest ownership rates
While Fairmont (56031) has the highest volume with 566 investor-owned homes, its ownership rate is 13.2%. In contrast, Ceylon (56027) has a much higher investor penetration rate of 37.5%.
Historical Transactions
Landlords are aggressive net buyers in Martin County, acquiring over 6 properties for every 1 sold in Q1
This strong net buying trend is consistent, with a 45-to-20 buy/sell ratio in 2025 and a 53-to-18 ratio in 2024. All transactional activity is driven by small to mid-size investors, with no institutional participation.
Current Quarter Transactions
Landlords were involved in 18.6% of all Q1 2026 transactions, led by new single-property investors
Single-property landlords accounted for 16 of the 19 total investor transactions. Inter-landlord trading was minimal, with only one transaction in the 6-10 property tier being a landlord-to-landlord sale.

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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 hold 962 properties in Martin County, with individuals owning a 78.2% majority share
Detailed Findings

In Martin County, investors hold a significant 13.9% of the single-family residential market, totaling 962 properties. This portfolio is overwhelmingly controlled by 796 individual investors who own 752 properties, representing 78.2% of all investor-owned homes.

Company ownership, while smaller, is more concentrated. The 125 companies in the market own 217 properties, an average of 1.7 properties per entity, compared to less than one property per individual entity, suggesting some co-ownership structures among individuals.

A key feature of the local real estate investing landscape is the low reliance on leverage. Investors own 715 properties with cash, nearly three times the 247 properties that are financed. This indicates a financially stable and risk-averse investor base.

The portfolio is almost entirely dedicated to rentals, with 920 of the 962 properties classified as non-owner-occupied. This 95.6% rental concentration underscores the role investors play in providing housing supply in the county.

Overall, the data paints a picture of a market dominated by small, individual landlords who primarily use cash to build rental portfolios, rather than large corporations using significant leverage.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Investors in Q1 paid just $72,750 per property, a staggering 70.2% discount compared to homeowners
Detailed Findings

A dramatic price disparity defines the Martin County market. In Q1 2026, landlords acquired properties for an average of $72,750, which is $171,086 less than the $243,836 paid by traditional homeowners, representing a massive 70.2% discount.

This investor discount is not a new phenomenon but has intensified dramatically over the past year. The price gap widened from 41.2% in Q1 2025 to its current 70.2% level, indicating that investors are increasingly operating in a different segment of the market than typical buyers.

The trend shows investors are targeting lower-cost assets. The average landlord acquisition price has fallen consistently, from $136,886 during the 2020-2023 period to just $78,617 for the full year of 2025.

This pricing behavior suggests a disciplined strategy focused on acquiring distressed, off-market, or undervalued properties that do not attract traditional homebuyers. The size of the discount points to a separate, parallel market where investors find and secure deals.

While homeowners are competing for move-in ready homes at higher prices, investors are capitalizing on opportunities at the lowest end of the market, which allows for viable rental returns despite modest property values.

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 acquired 20.8% of all homes sold in Q4 2025, with small investors driving all activity
Detailed Findings

Investor purchasing activity was robust in Q4 2025, with landlords buying 15 of the 72 total SFRs sold, capturing 20.8% of the market. This demonstrates continued appetite for expanding local rental portfolios.

The acquisition market is exclusively controlled by small-scale investors. Mom-and-pop landlords (1-10 properties) accounted for 13 of the 15 investor purchases, an 86.7% share of activity.

New market entrants were the primary force, as single-property landlords purchased 12 properties. This influx of 16 new landlord entities signals a healthy and accessible entry point for local investors.

In stark contrast, institutional investors (1,000+ properties) had no presence in the market, acquiring zero properties during the quarter. This reinforces the local, grassroots nature of Martin County's investor landscape.

The activity breakdown shows that market growth is not driven by large corporations but by local individuals and small businesses starting or slightly expanding their rental holdings.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords completely dominate Martin County, controlling 90.5% of all investor-owned SFRs
Detailed Findings

The ownership structure in Martin County definitively refutes any narrative of corporate landlord takeover. Mom-and-pop investors (owning 1-10 properties) control a commanding 90.5% of all investor-owned single-family homes.

The market's foundation is built on its smallest participants. Landlords with just one property represent the largest tier, holding 603 homes, or 59.5% of the entire investor portfolio. This highlights the importance of first-time investors to the local rental market.

As portfolio sizes increase, the number of properties and entities drops off sharply. Mid-size landlords (11-1,000 properties) collectively own less than 10% of the investor-held housing stock.

The complete absence of institutional investors (Tier 09) is a defining characteristic of the market. This lack of large-scale corporate ownership makes Martin County an archetype of a locally-controlled investment landscape.

This distribution indicates a highly fragmented market where competition and market dynamics are dictated by hundreds of small, independent operators rather than a few large players.

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 dominate smaller portfolios, with companies gaining equal footing in the 11-20 property tier
Detailed Findings

Ownership type in Martin County follows a clear pattern: individuals are the primary owners of smaller portfolios, while corporate structures become more common as portfolio size increases. Individuals own 88.5% of single-property investments and 73.5% of two-property portfolios.

The transition point for ownership structure occurs in the 11-20 property tier. At this level, the holdings are split almost evenly, with individuals owning 27 properties (50.9%) and companies owning 26 (49.1%).

Even as portfolios grow, individual ownership remains remarkably strong. For landlords holding 21-50 properties, individuals still constitute the majority with 55.3% of the properties in that tier.

This demonstrates that even the larger local landlords often operate without formal incorporation, reinforcing the 'mom-and-pop' character of the market across nearly all tiers.

The data suggests that incorporation becomes a strategic consideration for landlords only after they have amassed a portfolio of more than 10 properties, likely for liability and operational efficiency.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is concentrated in Fairmont (56031), but smaller towns show the highest ownership rates
Detailed Findings

Geographic analysis reveals a dual investor strategy in Martin County. The highest volume of investor-owned properties is located in the 56031 zip code (Fairmont), with 566 homes, making it the central hub for rental inventory.

However, the highest market penetration is found in smaller surrounding communities. The 56027 zip code (Ceylon) leads with a 37.5% investor ownership rate, followed by 56121 (also Ceylon) at 26.6% and 56075 (Sherburn) at 25.0%.

This pattern indicates that while investors seek volume in the county's largest town, they achieve higher market saturation and potentially face less competition in smaller, more rural areas.

Other areas with notable investor presence include Trimont (56171) with 81 properties and Welcome (56088) with 75 properties, both having ownership rates just over 13%.

The divergence between high-count and high-percentage regions highlights different types of opportunities available to investors within the same county.

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 in Martin County, acquiring over 6 properties for every 1 sold in Q1
Detailed Findings

Transaction data shows landlords in Martin County are in a clear and sustained accumulation phase. In Q1 2026, they purchased 19 properties while selling only 3, establishing a strong net-buyer position.

The buy-to-sell ratio of 6.33-to-1 in the first quarter signals overwhelming confidence in the local market and a focus on long-term portfolio growth rather than short-term flips.

This behavior is not a recent development. In 2025, landlords were net buyers with 45 purchases against 20 sales. The trend was even stronger in 2024, with 53 buys and only 18 sells.

The consistent net acquisition trend across multiple years points to a stable, long-term investment strategy prevalent among the county's investor base.

With zero recorded transactions from institutional investors, these dynamics are entirely shaped by the decisions of local, smaller-scale landlords who are steadily increasing their holdings.

Current Quarter Transactions

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

Key Insight
Landlords were involved in 18.6% of all Q1 2026 transactions, led by new single-property investors
Detailed Findings

In Q1 2026, landlords participated in 19 of the 102 total SFR transactions, representing an 18.6% share of market activity. This solidifies their role as a consistent source of demand in the county.

Activity was overwhelmingly concentrated at the entry level of the market. Investors in the single-property tier were responsible for 16 transactions, or 84% of all landlord buying activity, at an average price of $74,167.

Purchase prices across active tiers were tightly clustered in the sub-$100,000 range, from $62,000 for the 6-10 property tier to $75,000 for the 21-50 property tier, indicating a shared focus on a specific class of affordable housing.

Investors are primarily acquiring properties from the open market, not from each other. Only two of the 19 purchases were from other landlords, suggesting that most inventory is sourced from traditional homeowners, estates, or banks.

The dominance of single-property tier transactions highlights the continual entry of new investors into the Martin County market, ensuring a steady renewal of the small landlord base.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Mom-and-pop landlords dominate Martin County's investor market, buying properties at a 70% discount to homeowners.
Holdings
Landlords own 962 single-family residential properties in Martin County, representing 13.9% of the total market. The portfolio is controlled by individuals, who own 752 properties (78.2%), compared to 217 (22.6%) owned by companies.
Pricing
In Q1 2026, investors paid an average of $72,750, a 70.2% discount compared to the $243,836 paid by traditional homeowners. This amounts to a savings of $171,086 per property.
Activity
Investors purchased 20.8% of all homes sold in Q4 2025, with activity driven entirely by small players. New, single-property landlords accounted for 12 of the 15 investor purchases in the quarter.
Market Share
Small 'mom-and-pop' landlords (1-10 properties) overwhelmingly control the market with a 90.5% share of all investor-owned housing. Institutional investors (1,000+ properties) have zero presence.
Ownership Type
Individual investors are the primary owners in smaller portfolios, but companies gain an equal foothold in the 11-20 property tier, where the ownership split is nearly 50/50.
Transactions
Landlords are aggressive net buyers, with a 6.33x buy-to-sell ratio in Q1 2026 (19 buys vs. 3 sells). Institutional investors recorded no transactions, remaining completely inactive.
Market Narrative

The investor landscape in Martin County, Minnesota is a definitive model of a locally-driven market, free from institutional influence. Investors command a 13.9% share of the county's single-family homes, with a total portfolio of 962 properties. This market is overwhelmingly shaped by small, independent operators: 'mom-and-pop' landlords (owning 1-10 properties) control 90.5% of investor inventory, while individuals own 78.2% of all properties, leaving a minimal role for corporations and no footprint for institutional firms.

Investor behavior is characterized by disciplined, value-oriented acquisitions and a clear strategy of portfolio growth. In Q1 2026, landlords demonstrated their purchasing power by acquiring properties at a staggering 70.2% discount compared to traditional homeowners, paying just $72,750 on average. This deep discount suggests a focus on off-market or distressed assets. Transaction data further reinforces their market conviction; landlords are aggressive net buyers, purchasing over six homes for every one they sold in the first quarter.

The key takeaway from the data is that Martin County's rental market is stable, deeply local, and expanding. It is fueled by cash-heavy individual investors who are methodically growing their holdings by targeting undervalued properties. The absence of institutional players and the dominance of new, single-property entrants signal a healthy, accessible market where local capital is the primary force shaping the future of its rental housing stock. These trends are critical for understanding local housing dynamics, as detailed in our full Investor Pulse reports.

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 21, 2026 at 08:43 PM
Data Period Q1 2026
Geography Level County
Geography Martin (MN)
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Chart Section2 Coverage
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Chart Section3 Ownership Donut
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Chart Section3 Ownership Bar
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Chart Section4 Distribution
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Chart Section5 Holdings
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Chart Section6 Prices
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Chart Section6 Prices Alt
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Chart Section6 Yoy Comparison
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Chart Section6 Trends
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Chart Section7 Purchases
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Chart Section7 Tiers
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Chart Section8 Distribution
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Chart Section8 Prices
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Chart Section8 Prices Q4
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Chart Section8 Prices 2020
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Chart Section8 Yoy Comparison
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Chart Section9 Ownership
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Chart Section9 Growth
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Chart Section9 Growth Q4
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Chart Section9 Yoy Comparison
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Chart Section10 Top Regions
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Chart Section10 Top Pct
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Chart Section11 Buysell
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Chart Section11 Buysell Price
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Chart Section11 Yoy All Landlords
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Chart Section11 Institutional
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Chart Section11 Institutional Price
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Chart Section12 Transactions
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Chart Section12 Prices
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Chart Section12 Prices Detail
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Licensing & Usage Rights

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How to cite this report

BatchData. (2026). Q1 2026 Martin (MN) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-mn-martin/. Licensed under CC BY-NC-ND 4.0.