New Madrid (MO) Investor Pulse Report (2026-Q1)

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

Market Overview

Total SFR Properties in New Madrid (MO)
6,099
Total Investors in New Madrid (MO)
3,030
Investor Owned SFR in New Madrid (MO)
2,654(43.5%)
Individual Landlords
Landlords
2,776
SFR Owned
2,195
Corporate Landlords
Landlords
254
SFR Owned
472
Understanding Property Counts

Distinct Count Methodology: The total 2,654 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

Investors own 43.5% of New Madrid County SFRs, with mom-and-pop landlords dominating market activity and holdings.
Investors own 2,654 single-family properties in New Madrid County, representing a significant 43.5% of the market. This landscape is overwhelmingly shaped by small-scale individual landlords (82.7% of holdings) who control 93.9% of investor-owned housing. In Q1 2026, landlords were aggressive net buyers, acquiring properties at a remarkable 42.7% discount compared to traditional homeowners.
Landlord Owned Current Holdings
Investors own 2,654 SFRs, 43.5% of the market, with individuals holding 82.7% of the portfolio.
Cash is the preferred acquisition method, with 2,157 cash-bought properties far outnumbering the 497 financed ones. The investor portfolio consists of 2,601 rented properties, underscoring the focus on rental income. The market includes 3,030 distinct landlords, with 2,776 individuals and 254 companies.
Landlord vs Traditional Homeowners
Landlords acquired Q1 2026 properties for 42.7% less than homeowners, a $102,899 average discount.
This significant discount is a consistent trend, with landlords paying 49.5% less in Q3 2025 and 57.0% less in Q1 2025. This pattern suggests investors are targeting distressed or off-market properties not typically pursued by traditional buyers. Prices for landlord acquisitions have fluctuated, averaging $138,009 in Q1 2026.
Current Quarter Purchases
Landlords dominated the market in the last quarter, purchasing 56.8% of all available SFR properties.
Mom-and-pop landlords (1-10 properties) drove this activity, accounting for 84.0% of all investor purchases (21 of 25 properties). Institutional investors (1000+ properties) also showed activity, buying 3 properties, or 11.5% of the investor total. 15 new single-property landlords entered the market.
Ownership by Tier
Mom-and-pop landlords control 93.9% of all investor-owned residential properties in New Madrid County.
In stark contrast, institutional investors with over 1,000 properties own just 8 homes, a mere 0.3% of the investor-owned market. Single-property landlords are the largest group, holding 1,931 properties, which is 70.1% of the total investor portfolio. This confirms the market is highly fragmented and locally driven.
Ownership by Tier & Type
Individuals own over 92% of single-property portfolios, but companies take over in portfolios of 6+ properties.
The crossover point occurs in the 6-10 property tier, where companies own 75.2% of the properties. In the 21-50 property tier, company ownership reaches a commanding 95.8%. This shows a clear trend of professionalization as portfolios grow.
Geographic Distribution
Investor activity is highly concentrated, with zip codes 63873, 63869, and 63862 holding the most properties.
Some zip codes show extremely high investor penetration, with 63879 at 100.0% and 63860 at 91.3%. However, the largest concentrations by property count are in 63873 (419 properties), 63869 (409 properties), and 63862 (327 properties). This highlights specific neighborhoods of high investor interest.
Historical Transactions
Landlords in New Madrid County are aggressive net buyers, acquiring 6 properties for every 1 they sold in Q1 2026.
This net buying trend has been consistent, with a buy-to-sell ratio of over 7x in 2025 (205 buys vs. 29 sells) and over 8x in 2024 (147 buys vs. 17 sells). In contrast, institutional investors were net neutral in 2024, signaling a more cautious approach than the broader market.
Current Quarter Transactions
Landlords were involved in 54.5% of all property transactions in the first quarter, buying 30 of 55 homes sold.
Institutional investors paid 17.2% less than new mom-and-pop buyers, at $123,797 versus $149,435. Institutional buyers were also more likely to source deals from other landlords, with 33.3% of their purchases coming from existing investors, compared to just 6.2% for single-property buyers.

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Current Holdings Portfolio

Analysis of landlord property holdings by type, financing method, and owner category

Chart Section5 Holdings
Key Insight
Investors own 2,654 SFRs, 43.5% of the market, with individuals holding 82.7% of the portfolio.
Detailed Findings

Investors hold a substantial 43.5% share of the Single-Family Residential market in New Madrid County, controlling 2,654 of the 6,099 total SFR properties.

The investor landscape is dominated by 2,776 individual landlords, who own 2,195 properties, representing 82.7% of all investor-owned SFRs. In contrast, 254 companies own the remaining 472 properties (17.8%), highlighting the market's reliance on small-scale participants.

Cash transactions are the primary funding method for investors in this market. The portfolio includes 2,157 properties owned outright with cash, more than four times the 497 properties that are financed, signaling a low-leverage investment strategy.

The portfolio is heavily geared towards rental income, with 2,601 properties classified as rented. This demonstrates a clear focus on buy-and-hold strategies among the county's investor base.

The ratio of individual landlords to company landlords is over 10-to-1 (2,776 vs 254), confirming that the market is driven by local entrepreneurs rather than large corporate entities.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords acquired Q1 2026 properties for 42.7% less than homeowners, a $102,899 average discount.
Detailed Findings

Investors in New Madrid County demonstrate a consistent ability to acquire properties at a significant discount. In Q1 2026, the average landlord purchase price was $138,009, a staggering 42.7% lower than the $240,908 paid by traditional homeowners, resulting in a savings of $102,899 per property.

This pricing advantage is not a recent phenomenon. The trend of deep discounts persisted throughout the previous year, with landlords securing properties for 49.5% less than homeowners in Q3 2025 ($113,376 discount) and 57.0% less in Q1 2025 ($113,768 discount).

The data suggests that real estate investors and homeowners operate in different segments of the market. The substantial and recurring price gap indicates investors are likely targeting undervalued, distressed, or off-market opportunities that fall outside a typical home search.

While homeowner prices show relative stability, landlord acquisition prices exhibit more volatility, ranging from a low of $85,906 in Q1 2025 to a high of $163,733 in Q2 2025. This fluctuation likely reflects the opportunistic nature of investor purchasing.

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 dominated the market in the last quarter, purchasing 56.8% of all available SFR properties.
Detailed Findings

Investor activity surged in the fourth quarter of 2025, with landlords acquiring 25 of the 44 total SFRs sold, capturing a majority 56.8% of the market.

Small-scale investors were the primary drivers of this acquisition volume. Mom-and-pop landlords (owning 1-10 properties) purchased 21 properties, making up 84.0% of all investor acquisitions for the quarter.

New investors continue to enter the market, with 15 new entities purchasing their first rental property. These single-property landlords alone accounted for 12 purchases, representing 46.2% of all investor buying activity.

Institutional investors (1000+ properties) were also active, purchasing 3 properties. While a small number, this accounted for 11.5% of investor purchases, indicating a multi-level interest in the New Madrid County market.

The buying was concentrated at the smallest end of the investor spectrum, with single-property and two-property landlords together making up 16 of the 25 total investor purchases (61.6%).

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords control 93.9% of all investor-owned residential properties in New Madrid County.
Detailed Findings

The investor market in New Madrid County is overwhelmingly dominated by small-scale operators. Mom-and-pop landlords, defined as those owning 1-10 properties, control a massive 93.9% of all investor-owned SFRs.

Single-property landlords form the bedrock of the market, owning 1,931 properties. This single tier accounts for 70.1% of the entire investor portfolio, demonstrating the fragmented nature of ownership.

Conversely, institutional-scale investors (1000+ properties) have a negligible footprint, owning just 8 properties, which translates to only 0.3% of the investor-owned market. This structure defies the common narrative of large corporations dominating residential real estate.

The entire mid-size and large investor segment (11-1000 properties) collectively owns just 160 properties, or 5.8% of the total, further emphasizing the concentration of ownership among small landlords.

The ownership distribution is heavily skewed, with the top four 'mom-and-pop' tiers controlling 2,588 of the 2,654 total investor properties, leaving very little market share for larger entities.

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
Individuals own over 92% of single-property portfolios, but companies take over in portfolios of 6+ properties.
Detailed Findings

Individual investors form the foundation of the New Madrid County market, owning 92.4% of all properties held in single-property portfolios and 84.1% in two-property portfolios.

A distinct shift toward corporate ownership occurs as portfolios scale. The crossover point is the 6-10 property tier, where companies own a majority 75.2% of the real estate, compared to just 24.8% for individuals.

This trend accelerates in larger tiers. For investors holding 21-50 properties, company ownership is nearly total, at 95.8% (69 properties), while individuals hold only 4.2% (3 properties).

Even at the smaller 3-5 property tier, individuals maintain strong control with 77.5% ownership, indicating that incorporation typically happens after an investor surpasses five properties.

This pattern reveals a clear life cycle: investors often start as individuals and incorporate into business entities as their operations and portfolio size expand, likely for liability and financial reasons.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is highly concentrated, with zip codes 63873, 63869, and 63862 holding the most properties.
Detailed Findings

Investor ownership is not evenly distributed across New Madrid County, with specific zip codes serving as hotspots for activity. The areas with the highest counts of investor-owned properties are 63873 (419 properties), 63869 (409 properties), and 63862 (327 properties).

Several smaller zip codes exhibit exceptionally high investor ownership rates, suggesting they are almost entirely rental markets. Zip code 63879 shows a 100.0% investor ownership rate, followed by 63860 (91.3%) and 63868 (87.5%).

The areas with the highest property counts do not necessarily have the highest ownership percentages. For example, 63873 and 63869, the top two by count, have ownership rates of 31.6% and 32.8% respectively, well below the rates seen in smaller, more saturated zip codes.

This divergence indicates two different investment strategies at play: one focused on acquiring scale in larger, more traditional neighborhoods, and another focused on dominating smaller, niche rental markets.

The high-density areas like 63870 (74.9% rate) and 63862 (60.9% rate) represent a blend of both high volume and high penetration, making them the most significant centers of real estate investing in the 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
Chart Section11 Yoy Institutional
Key Insight
Landlords in New Madrid County are aggressive net buyers, acquiring 6 properties for every 1 they sold in Q1 2026.
Detailed Findings

Landlords are in a strong accumulation phase, acting as decisive net buyers in the market. In Q1 2026, they purchased 30 properties while selling only 5, a buy-to-sell ratio of 6.0x.

This aggressive buying posture is a long-term trend, not a quarterly anomaly. In 2025, landlords acquired 205 properties and sold just 29 (a 7.1x ratio). Similarly, in 2024, they bought 147 and sold only 17 (an 8.6x ratio).

Institutional investors (1000+ tier) exhibit a more balanced and cautious strategy compared to the overall market. In 2025, they were modest net buyers (5 buys vs. 2 sells), but in 2024, their activity was perfectly neutral, with 2 properties bought and 2 sold.

The transaction data points to a market where smaller, local investors are continuously expanding their portfolios, absorbing housing supply with a clear long-term hold strategy.

The consistent, high-volume net buying activity from the landlord community as a whole is a primary driver of market dynamics in New Madrid County.

Current Quarter Transactions

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

Key Insight
Landlords were involved in 54.5% of all property transactions in the first quarter, buying 30 of 55 homes sold.
Detailed Findings

In Q1 2026, investors were a driving force in market liquidity, participating in 54.5% of all SFR transactions. They acquired 30 of the 55 properties that changed hands during the quarter.

A clear pricing advantage exists for larger investors. Institutional buyers (1000+ tier) paid an average of $123,797 per property, which is 17.2% less than the $149,435 average paid by first-time, single-property landlords.

Small mom-and-pop landlords (Tiers 01-04) dominated transaction volume, accounting for 25 of the 30 total investor deals. This mirrors their dominance in overall ownership.

Larger investors appear more integrated into the investor network. One-third (33.3%) of institutional purchases in Q1 were acquired from other landlords, indicating established deal-sourcing channels. In contrast, new single-property buyers sourced only 6.2% of their deals from fellow investors, relying more on the open market.

The transaction data reveals sophisticated strategies among seasoned investors, who leverage their scale and networks to secure properties at lower prices and through investor-to-investor sales.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Investors capture 43.5% of New Madrid's housing, with mom-and-pop landlords controlling 93.9% of the rental market.
Holdings
Landlords own 2,654 SFR properties, representing 43.5% of New Madrid County's market, with individual investors holding a dominant 2,195 properties (82.7%) compared to companies at 472 (17.8%).
Pricing
Landlords paid 42.7% less than traditional homeowners in Q1 2026, securing an average discount of $102,899 per property ($138,009 vs. $240,908).
Activity
Investors drove 54.5% of all Q1 2026 sales, purchasing 30 properties, with 16 of those transactions coming from new or second-time landlords entering or expanding in the market.
Market Share
Small 'mom-and-pop' landlords (1-10 properties) overwhelmingly control the market with 93.9% of investor housing, while institutional investors (1000+) own just 0.3%.
Ownership Type
Individual investors dominate smaller portfolios, but companies become the majority owners in portfolios of 6-10 properties and represent 95.8% of ownership in the 21-50 property tier.
Transactions
Landlords are strong net buyers with a 6.0x buy-to-sell ratio in Q1 (30 buys vs. 5 sells), while institutional investors show a more balanced, opportunistic approach.
Market Narrative

In New Madrid County, real estate investors have established a significant market presence, owning 2,654 single-family residential properties, which constitutes a remarkable 43.5% of the total SFR housing stock. The market's structure is defined by its fragmentation and the dominance of small-scale participants. Individual investors own 82.7% of this portfolio (2,195 properties), with 'mom-and-pop' landlords (1-10 properties) collectively controlling 93.9% of all investor-owned housing. In sharp contrast, institutional investors (1000+ properties) have a minimal footprint, with just 0.3% market share, underscoring that this is a locally driven market.

Investor behavior is characterized by aggressive acquisition and savvy pricing strategies. In the first quarter of 2026, landlords were involved in 54.5% of all transactions and operated as strong net buyers, acquiring 6 properties for every 1 they sold. They demonstrated a profound pricing advantage, purchasing homes for an average of 42.7% less than traditional homeowners, a consistent trend suggesting a focus on off-market or undervalued assets. Larger investors leverage their scale to achieve even better pricing, paying 17.2% less than new single-property landlords in Q1.

The key takeaway for New Madrid County is that the housing market is heavily shaped by a large, active, and growing base of local, small-scale investors. These individuals and small companies are not passive bystanders; they are actively expanding their portfolios and setting price floors through consistent, discounted purchasing. This dynamic creates a competitive environment for traditional homebuyers and signals a mature rental market where local expertise and deal-sourcing capabilities, rather than institutional capital, are the primary drivers of success.

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 09:20 PM
Data Period Q1 2026
Geography Level County
Geography New Madrid (MO)
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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
Chart Section5 Holdings
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Chart Section6 Prices
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
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 Section11 Yoy Institutional
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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 New Madrid (MO) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-mo-new_madrid/. Licensed under CC BY-NC-ND 4.0.