McDonald (MO) Investor Pulse Report (2026-Q1)

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

Market Overview

Total SFR Properties in McDonald (MO)
6,086
Total Investors in McDonald (MO)
2,713
Investor Owned SFR in McDonald (MO)
2,206(36.2%)
Individual Landlords
Landlords
2,413
SFR Owned
1,857
Corporate Landlords
Landlords
300
SFR Owned
389
Understanding Property Counts

Distinct Count Methodology: The total 2,206 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 McDonald County, Owning 98.6% of Rental Homes
Investors own 2,206 SFR properties in McDonald County, MO, representing 36.2% of the market. Individual 'mom-and-pop' landlords control a staggering 98.6% of this portfolio, while institutional ownership is virtually non-existent. In Q1, investors were aggressive net buyers, acquiring properties at a 9.6% discount compared to traditional homeowners.
Landlord Owned Current Holdings
Investors hold 2,206 SFRs in McDonald County, with individuals owning 84.2%.
The majority of investor-owned properties (1,635) were acquired with cash, compared to only 571 that are financed. Individual investors own 1,857 properties, while companies own 389. Across the county, 2,713 distinct landlord entities are active.
Landlord vs Traditional Homeowners
Landlords paid 9.6% less than homeowners in Q1, a discount of $33,296 per home.
The price gap between landlords and homeowners has narrowed significantly from the 20.0% discount observed in Q3 2025. In Q1 2026, landlords paid an average of $313,917, while homeowners paid $347,213. This trend suggests increasing competition for available housing stock.
Current Quarter Purchases
Landlords acquired 44.4% of all SFR properties sold in Q4 2025.
Mom-and-pop landlords (1-10 properties) were responsible for 100% of investor purchases, acquiring all 32 properties. Institutional investors made zero purchases. The market saw 33 new single-property landlord entities emerge this quarter.
Ownership by Tier
Mom-and-pop landlords control 98.6% of all investor-owned housing in McDonald County.
Single-property landlords alone own 77.3% of the investor-held SFRs, totaling 1,768 properties. In contrast, institutional investors with over 1,000 properties own just one property, representing 0.0% of the market.
Ownership by Tier & Type
Companies become the majority owners at the 6-10 property tier, holding 64.7% of homes.
While individuals own 88.0% of single-property portfolios, companies control larger tiers, owning 72.7% of portfolios sized 11-20 and 80.0% of those sized 21-50. This shows a clear trend of professionalization as portfolio size increases.
Geographic Distribution
The 64831 and 64854 zip codes are investor hotspots, holding over 1,000 properties combined.
The highest concentration of investor ownership is in the 64868 zip code, where 80.0% of all SFR properties are investor-owned. This is followed by 64847 (48.6%) and 64863 (47.2%), indicating specific neighborhoods with very high rental density.
Historical Transactions
Landlords are aggressive net buyers, acquiring 4.7 properties for every 1 they sold in Q1.
This trend of accumulation is consistent, with landlords being net buyers in every period analyzed, including a net gain of 136 properties in 2025 and 166 in 2024. In contrast, institutional investors are net sellers, signaling a retreat from the market.
Current Quarter Transactions
Landlords were involved in 41.6% of all Q1 property transactions, purchasing 42 homes.
Mom-and-pop investors drove this activity, conducting 41 of the 42 landlord transactions. A surprising outlier was seen in the two-property tier, where the average purchase price was $1,172,980, drastically higher than the $282,738 paid by single-property buyers.

Want deeper insights tailored to your investment strategy?

TALK TO AN EXPERT

Current Holdings Portfolio

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

Chart Section5 Holdings
Key Insight
Investors hold 2,206 SFRs in McDonald County, with individuals owning 84.2%.
Detailed Findings

In McDonald County, MO, real estate investors hold a significant 36.2% of the Single-Family Residential (SFR) market, totaling 2,206 properties out of 6,086.

Individual investors are the overwhelming force in the market, owning 1,857 properties, which constitutes 84.2% of the entire investor portfolio. Company-owned properties, at 389, make up the remaining 17.6%, highlighting the dominance of smaller-scale landlords.

The investor market is composed of 2,713 distinct entities, with 2,413 being individuals and 300 being companies. This 8-to-1 ratio of individual landlords to company landlords underscores the grassroots nature of rental ownership in the area.

Cash is the preferred acquisition method for investors in McDonald County. A total of 1,635 properties were purchased with cash, nearly three times the 571 properties that are currently financed, indicating a well-capitalized investor base.

The portfolio is heavily focused on rental income, with 2,184 of the 2,206 investor-owned properties identified as rented, representing a 99.0% rental penetration rate within investor holdings.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords paid 9.6% less than homeowners in Q1, a discount of $33,296 per home.
Detailed Findings

Investors in McDonald County consistently purchase properties at a lower price point than traditional homeowners. In Q1 2026, landlords secured properties for an average of $313,917, representing a 9.6% discount compared to the $347,213 average paid by homeowners.

This pricing advantage translates to a significant saving of $33,296 per property, giving investors a considerable financial edge in the market. This pattern of purchasing below the typical market rate is a consistent strategy observed over multiple quarters.

However, the investor discount has been narrowing over the past year. The 9.6% gap in Q1 2026 is much smaller than the 17.7% discount in Q2 2025 and the 20.0% discount in Q3 2025, signaling that the market may be getting more competitive for investors.

Pandemic-era prices (2020-2023) averaged $213,494 for landlords. The Q1 2026 average of $313,917 reflects a substantial 47.0% price appreciation since that period, illustrating strong market growth in McDonald County.

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 44.4% of all SFR properties sold in Q4 2025.
Detailed Findings

Investor activity surged in Q4 2025, with landlords purchasing 32 of the 72 total SFRs sold in McDonald County. This represents a commanding 44.4% market share of all residential sales for the quarter.

The acquisition activity was entirely driven by small-scale investors. Mom-and-pop landlords, owning between 1 and 10 properties, accounted for 100% of all investor purchases, acquiring 32 properties in total.

In stark contrast, institutional investors (1,000+ properties) had no purchasing activity, acquiring zero properties in Q4. This highlights a market completely dominated by smaller, local players rather than large corporations.

The most active segment was new investors. Landlords purchasing their first rental property (Tier 01) acquired 26 homes, making up 78.8% of all investor buying activity and signaling a healthy influx of new participants into the rental market.

A total of 33 new entities entered the single-property tier, indicating a broad base of new investors rather than a concentration of purchases by a few.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords control 98.6% of all investor-owned housing in McDonald County.
Detailed Findings

The investor landscape in McDonald County is defined by the overwhelming dominance of small landlords. Mom-and-pop investors (Tiers 01-04, owning 1-10 properties) control a massive 98.6% of all investor-owned SFRs.

The market's foundation is built on single-property owners (Tier 01), who alone hold 1,768 properties. This represents 77.3% of the entire investor portfolio, underscoring the importance of first-time and small-scale landlords to the local housing supply.

Mid-size landlords (11-1,000 properties) have a minimal presence, collectively owning just 32 properties, or 1.4% of the investor-owned stock.

Institutional-scale investors (1,000+ properties) have virtually no footprint in McDonald County, owning only a single property. This 0.0% market share directly counters the narrative of large corporations dominating the rental market in this area.

The distribution is heavily skewed towards the smallest players, with two-property owners (10.6%) and those with 3-5 properties (7.6%) being the next largest segments after single-property landlords.

Chart Section8 Distribution
Chart Section8 Prices
Chart Section8 Prices Q4
Chart Section8 Yoy Comparison

Need custom portfolio analysis based on these tier insights?

TALK TO AN EXPERT

Ownership by Tier & Owner Type

Breakdown of individual vs corporate ownership across portfolio tiers

Chart Section9 Ownership
Chart Section9 Growth
Chart Section9 Growth Q4
Chart Section9 Yoy Comparison
Key Insight
Companies become the majority owners at the 6-10 property tier, holding 64.7% of homes.
Detailed Findings

While individual investors dominate the overall market, a clear crossover point emerges as portfolio sizes grow. Companies become the majority property holders starting in the small landlord tier of 6-10 properties, where they own 44 homes, or 64.7% of the properties in that segment.

This trend accelerates in larger tiers. For investors with 11-20 properties, companies own 72.7% of the homes. In the 21-50 property tier, company ownership further concentrates to 80.0%.

At the entry level, individuals are the primary players. They own 1,582 of the single-property rentals (88.0%) and 190 of the two-property portfolios (76.6%). This indicates that most investors start their journey as individuals before incorporating.

The data suggests a pattern of professionalization: investors may begin as individuals but tend to operate as formal companies once their portfolio scales beyond five properties. This shift is critical for understanding investor behavior and growth trajectories.

Even in the large 101-1,000 property tier, companies hold a 75.0% majority, owning 3 of the 4 properties, cementing their control over the larger-scale rental operations in McDonald County.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
The 64831 and 64854 zip codes are investor hotspots, holding over 1,000 properties combined.
Detailed Findings

Investor activity in McDonald County is highly concentrated in a few key zip codes. The 64831 area leads by volume, with 585 investor-owned properties, followed closely by 64854 with 447 properties. Together, these two zip codes account for nearly half of all investor holdings in the county.

The zip code with the highest rate of investor ownership is 64868, where an exceptional 80.0% of homes are owned by investors. This extreme concentration suggests a market heavily tailored to rental housing.

There is a clear distinction between areas with the highest count and the highest percentage of investor ownership. While 64831 has the most investor properties, its ownership rate is a more moderate 35.4%. Conversely, 64868 has the highest rate but a smaller total count, highlighting different market dynamics across the county.

Several other zip codes show significant investor penetration, including 64863 (47.2% rate), 65730 (44.2% rate), and 64854 (42.5% rate), pointing to widespread investor presence across multiple neighborhoods.

These geographic concentrations can inform strategies for local real estate investing, as they pinpoint areas with established rental markets and high investor confidence.

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 are aggressive net buyers, acquiring 4.7 properties for every 1 they sold in Q1.
Detailed Findings

Landlords in McDonald County are in a strong accumulation phase, consistently buying far more properties than they sell. In Q1 2026, they purchased 42 homes while only selling 9, resulting in a buy-to-sell ratio of 4.67-to-1 and a net gain of 33 properties for their portfolios.

This net-buyer behavior is a long-term trend. Throughout 2025, landlords added a net 136 properties (168 buys vs. 32 sells), and in 2024, they added a net 166 properties (195 buys vs. 29 sells). This demonstrates sustained confidence and capital deployment in the local market.

A significant divergence exists between the broader market and institutional players. While the overall landlord pool is expanding, institutional investors (1,000+ properties) are net sellers. They sold more properties than they bought in 2024 (net -2) and 2025 (net 0, with equal buys and sells), indicating a strategic divestment or reallocation of assets.

This contrast is stark: small, local investors are actively growing their holdings while the largest national players are reducing their limited exposure in McDonald County. This dynamic reinforces the market's reliance on mom-and-pop capital.

Current Quarter Transactions

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

Key Insight
Landlords were involved in 41.6% of all Q1 property transactions, purchasing 42 homes.
Detailed Findings

In Q1 2026, investors were a primary force in the McDonald County market, participating in 41.6% of all 101 SFR transactions. Their 42 acquisitions demonstrate significant buying power and influence on market liquidity.

Activity was almost exclusively concentrated among mom-and-pop investors (Tiers 01-04), who were responsible for 41 of the 42 landlord purchases. Institutional investors made no transactions during the quarter.

First-time investors (Tier 01) led the charge with 33 transactions, showing a robust pipeline of new entrants. Within this group, 18.2% of their purchases (6 properties) were acquired from other landlords, suggesting a healthy level of asset trading within the investor community.

A major pricing anomaly occurred in the two-property tier (Tier 02), which recorded an average purchase price of $1,172,980. This is more than four times the average price of $282,738 paid by single-property buyers and likely represents a portfolio transaction or the purchase of a high-value outlier property.

This price spread reveals different acquisition strategies, with new investors targeting lower-priced entry-level homes while more established small landlords may be acquiring unique or multiple properties in a single transaction.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

Ready to leverage this data for your real estate investment decisions?

TALK TO AN EXPERT

Executive Summary

Mom-and-Pop investors dominate McDonald County, owning 98.6% of rental SFRs and driving 44% of market purchases.
Holdings
Investors own 2,206 SFR properties in McDonald County, MO, representing 36.2% of the market. Individual investors hold a commanding 84.2% of these properties (1,857 homes), with companies owning the remaining 17.6% (389 homes).
Pricing
In Q1 2026, landlords paid 9.6% less than traditional homeowners, securing an average discount of $33,296 per property ($313,917 vs $347,213).
Activity
Landlords purchased 44.4% of all properties sold in the most recent quarter (32 of 72 sales). This activity was driven entirely by small investors, with 33 new single-property landlords entering the market.
Market Share
Small 'mom-and-pop' landlords (1-10 properties) control a staggering 98.6% of all investor-owned housing. In stark contrast, institutional investors (1,000+ properties) own just 0.0% of the market.
Ownership Type
Individual investors overwhelmingly own smaller portfolios, but companies become the majority owners in portfolios of 6 or more properties, controlling 64.7% of homes in that tier.
Transactions
Landlords are aggressive net buyers with a 4.67x buy-to-sell ratio in Q1 (42 buys vs 9 sells), while institutional investors are divesting, positioning themselves as net sellers.
Market Narrative

In McDonald County, MO, the single-family rental market is defined not by large corporations, but by local, small-scale entrepreneurs. Investors own a substantial 2,206 SFR properties, comprising 36.2% of the county's total housing stock. This portfolio is overwhelmingly controlled by 'mom-and-pop' landlords (1-10 properties), who own a staggering 98.6% of all investor-held homes. Individual investors make up the backbone of this group, holding 84.2% of the properties, while institutional firms with over 1,000 homes have a negligible 0.0% share. This structure challenges common narratives and highlights a market built on grassroots investment.

Investor behavior in McDonald County is characterized by strategic and aggressive acquisition. In the most recent quarter, landlords captured 44.4% of all home sales and consistently purchased properties at a discount, paying 9.6% less than traditional homeowners in Q1 2026. This activity is fueled by a constant influx of new participants, with 33 new single-property landlords entering the market in a single quarter. The broader investor pool is in a clear accumulation phase, buying 4.7 homes for every one they sell. This contrasts sharply with the activity of institutional investors, who are net sellers, signaling a strategic retreat from the area while smaller players double down.

The key takeaway for the McDonald County housing market is its stability and growth are deeply tied to the financial health and confidence of thousands of individual investors. The market's high penetration rate and geographic concentrations in zip codes like 64831 and 64868 reveal established and desirable rental submarkets. With small landlords driving nearly all activity and continuing to expand their portfolios, the future of the local rental landscape will be shaped by their investment decisions, not those made on Wall Street. This dynamic creates a resilient, if fragmented, market structure reliant on local capital and expertise.

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 09:18 PM
Data Period Q1 2026
Geography Level County
Geography McDonald (MO)
×
Chart Section2 Coverage
Chart Section2 Coverage
×
Chart Section3 Ownership Donut
Chart Section3 Ownership Donut
×
Chart Section3 Ownership Bar
Chart Section3 Ownership Bar
×
Chart Section4 Distribution
Chart Section4 Distribution
×
Chart Section5 Holdings
Chart Section5 Holdings
×
Chart Section6 Prices
Chart Section6 Prices
×
Chart Section6 Prices Alt
Chart Section6 Prices Alt
×
Chart Section6 Yoy Comparison
Chart Section6 Yoy Comparison
×
Chart Section6 Trends
Chart Section6 Trends
×
Chart Section7 Purchases
Chart Section7 Purchases
×
Chart Section7 Tiers
Chart Section7 Tiers
×
Chart Section8 Distribution
Chart Section8 Distribution
×
Chart Section8 Prices
Chart Section8 Prices
×
Chart Section8 Prices Q4
Chart Section8 Prices Q4
×
Chart Section8 Prices 2020
Chart Section8 Prices 2020
×
Chart Section8 Yoy Comparison
Chart Section8 Yoy Comparison
×
Chart Section9 Ownership
Chart Section9 Ownership
×
Chart Section9 Growth
Chart Section9 Growth
×
Chart Section9 Growth Q4
Chart Section9 Growth Q4
×
Chart Section9 Yoy Comparison
Chart Section9 Yoy Comparison
×
Chart Section10 Top Regions
Chart Section10 Top Regions
×
Chart Section10 Top Pct
Chart Section10 Top Pct
×
Chart Section11 Buysell
Chart Section11 Buysell
×
Chart Section11 Buysell Price
Chart Section11 Buysell Price
×
Chart Section11 Yoy All Landlords
Chart Section11 Yoy All Landlords
×
Chart Section11 Institutional
Chart Section11 Institutional
×
Chart Section11 Institutional Price
Chart Section11 Institutional Price
×
Chart Section11 Yoy Institutional
Chart Section11 Yoy Institutional
×
Chart Section12 Transactions
Chart Section12 Transactions
×
Chart Section12 Prices
Chart Section12 Prices
×
Chart Section12 Prices Detail
Chart Section12 Prices Detail

Licensing & Usage Rights

This report, data, and all visual analyses are the property of BatchData © 2026 BatchService, Inc. and are licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0).

You MAY: Download, share, or excerpt this content for personal or non-commercial purposes, provided you give clear attribution to BatchData with a link back to this original page.

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

For commercial licensing: batchdata.io/contact-sales

Creative Commons BY-NC-ND 4.0 - creativecommons.org/licenses/by-nc-nd/4.0/

How to cite this report

BatchData. (2026). Q1 2026 McDonald (MO) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-mo-mcdonald/. Licensed under CC BY-NC-ND 4.0.