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

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

Market Overview

Total SFR Properties in Dallas (MO)
5,771
Total Investors in Dallas (MO)
1,938
Investor Owned SFR in Dallas (MO)
1,590(27.6%)
Individual Landlords
Landlords
1,638
SFR Owned
1,221
Corporate Landlords
Landlords
300
SFR Owned
423
Understanding Property Counts

Distinct Count Methodology: The total 1,590 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 Dallas County, Owning 95% of Rental SFRs and Buying 46% of Homes in Q4
Investors own 1,590 SFR properties, representing 27.6% of the total market in Dallas County, MO. In Q1 2026, landlords secured properties at a 23.1% discount compared to traditional homeowners and remained strong net buyers, while institutional investors have a negligible presence, controlling only 0.3% of the rental stock.
Landlord Owned Current Holdings
Investors own 1,590 SFRs in Dallas County, with individual landlords holding 76.8% of the properties.
The majority of investor-owned properties (1,257) are held in cash, compared to just 333 that are financed. Of the total portfolio, 1,547 properties (97.3%) are non-owner-occupied rentals, signaling a strong focus on generating rental income.
Landlord vs Traditional Homeowners
Landlords in Q1 2026 paid 23.1% less than homeowners, securing a $65,037 average discount per property.
This massive discount marks a sharp reversal from 2025, when landlords consistently paid a premium, including a staggering 49.1% premium in Q2 2025. This volatility suggests a significant shift in market dynamics or investor acquisition strategy at the start of 2026.
Current Quarter Purchases
Landlords captured a massive 46.0% share of all SFR purchases in Dallas County during Q4 2025.
Mom-and-pop investors (1-10 properties) drove this activity, accounting for 75.9% of all landlord purchases. In contrast, institutional investors with over 1,000 properties made up only 3.4% of investor acquisitions.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control a staggering 94.8% of all investor-owned SFRs in Dallas County.
In comparison, institutional investors with portfolios of over 1,000 properties own just 0.3% of the local investor-held housing stock. Single-property landlords alone account for 70.0% of all investor-owned properties.
Ownership by Tier & Type
Companies become the majority owners over individuals in portfolios of 6-10 properties in Dallas County.
While individuals overwhelmingly dominate smaller tiers, owning 83.9% of single-property portfolios, companies control 58.8% of properties in the 6-10 unit tier and 58.7% in the 11-20 unit tier. This reveals a clear strategic crossover point for ownership structure.
Geographic Distribution
Investor activity is heavily concentrated in a single zip code, 65622, which holds 839 investor-owned properties.
This one area accounts for over half of all investor properties in the county and has a high ownership rate of 30.3%. The zip code with the highest investor penetration is 65536, where 46.6% of all SFR properties are investor-owned.
Historical Transactions
Landlords in Dallas County are aggressive net buyers, acquiring 4.7 properties for every one they sold in Q1 2026.
This trend of accumulation is consistent, with landlords also being strong net buyers in 2025 (220 buys vs 52 sells) and 2024 (170 buys vs 37 sells). In contrast, institutional investors were neutral in Q1 2026, with one purchase and one sale.
Current Quarter Transactions
Investors were involved in 36.7% of all Q1 property transactions, with single-property buyers paying 75.6% more than institutions.
New and small landlords drove the market, with those in the single-property tier completing 23 transactions at an average price of $274,097. In stark contrast, an institutional buyer acquired a property for just $66,950, highlighting vastly different acquisition strategies.

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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 1,590 SFRs in Dallas County, with individual landlords holding 76.8% of the properties.
Detailed Findings

In Dallas County, investors hold a significant 27.6% of the Single-Family Residential (SFR) market, totaling 1,590 properties. This portfolio is overwhelmingly controlled by 1,638 individual landlords who own 1,221 properties (76.8%), dwarfing the 423 properties (26.6%) held by 300 companies.

The investor market in this county is heavily reliant on cash acquisitions. A clear majority of properties, 1,257 in total, are owned outright without financing, while only 333 properties carry a mortgage. This indicates a well-capitalized investor base that is less sensitive to interest rate fluctuations.

The primary strategy for investors in Dallas County is rental income. An overwhelming 97.3% of the investor-owned portfolio, or 1,547 properties, are classified as non-owner-occupied. This high concentration underscores the importance of the rental market in the local housing ecosystem.

The data on landlords versus properties reveals the scale of operations. With 1,938 total landlords owning 1,590 properties, the average portfolio size is very small, reinforcing the 'mom-and-pop' character of the market. The ratio of individual landlords to company landlords is approximately 5.5 to 1.

This composition highlights a market driven not by large corporations but by small-scale, individual participants engaged in real estate investing. Their preference for cash purchases and rental strategies shapes local housing availability and pricing dynamics.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords in Q1 2026 paid 23.1% less than homeowners, securing a $65,037 average discount per property.
Detailed Findings

A dramatic shift in acquisition pricing occurred in Q1 2026, with landlords paying an average of $217,106 per property, a substantial 23.1% less than the $282,143 paid by traditional homeowners. This translated to a significant $65,037 price advantage for investors in the most recent quarter.

This discount represents a complete reversal of recent trends. Throughout 2025, landlords consistently paid more than homeowners, with premiums reaching 5.4% ($14,591) in Q1, 49.1% ($146,772) in Q2, and 26.7% ($85,566) in Q3. The sudden appearance of a deep discount suggests a change in either market conditions or the types of properties being targeted by investors.

While historical data from 2020-2023 shows an average acquisition price of $190,564 for landlords, the prices in 2024 ($324,275) and 2025 ($380,924) indicate significant appreciation. The lower price point in Q1 2026 could signal investors are successfully finding undervalued assets or that market prices are beginning to soften.

The extreme volatility in the landlord-homeowner price gap, swinging from a nearly 50% premium to a 23% discount within a year, is the most critical pricing trend in Dallas County. It indicates an unstable pricing environment where investor and homeowner valuations can diverge significantly from one quarter to the next.

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 captured a massive 46.0% share of all SFR purchases in Dallas County during Q4 2025.
Detailed Findings

Investor purchasing activity surged in Q4 2025, with landlords acquiring 29 of the 63 total SFR properties sold, a remarkable market share of 46.0%. This high level of activity demonstrates that investors were the most significant category of buyers in the Dallas County market during this period.

The buying activity was overwhelmingly dominated by small-scale investors. Mom-and-pop landlords (owning 1-10 properties) purchased 22 properties, which is 75.9% of all investor acquisitions. This reinforces that the market's growth is fueled by local, smaller operators rather than large institutions.

New entrants are a key feature of this market. In Q4 alone, 23 new landlord entities entered the market by purchasing their first investment property. This influx of single-property investors, who accounted for 65.5% of all properties bought by landlords, highlights a growing interest in Dallas County real estate.

Institutional investors (1,000+ properties) had a minimal impact, purchasing only a single property. Their 3.4% share of investor acquisitions stands in stark contrast to the 65.5% share from first-time landlords, illustrating a market defined by grassroots participation.

Mid-size landlords also showed some activity, with an entity in the 11-20 property tier acquiring 5 homes (17.2% of the total). However, the primary story of Q4 acquisitions is the continued dominance of new and small investors shaping demand.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) control a staggering 94.8% of all investor-owned SFRs in Dallas County.
Detailed Findings

The ownership structure of investment properties in Dallas County is overwhelmingly concentrated among small landlords. Investors with portfolios of 1-10 properties, often called mom-and-pop landlords, control a combined 94.8% of all investor-owned SFRs. This near-total dominance refutes any narrative of corporate control in the local rental market.

The foundation of the investor market is the single-property landlord. This tier alone accounts for 1,152 properties, representing 70.0% of the entire investor portfolio. The subsequent tiers show a steep drop-off, with two-property owners holding 10.0% and those with 3-5 properties holding 11.7%.

Institutional investors (Tier 09, 1,000+ properties) have a negligible footprint in Dallas County, owning just 5 properties. This accounts for a mere 0.3% of the investor-owned market, indicating that large-scale corporate players are not a significant factor in this geography.

The mid-size tiers (11-1000 properties) are also sparsely populated, collectively owning just 5.0% of the investor SFR stock. This 'missing middle' further accentuates the market's bifurcation between a massive base of small landlords and a nearly non-existent institutional presence.

This distribution has significant implications for the local market, suggesting that rental stock is managed by a large number of local stakeholders rather than a few centralized entities. This market structure, identifiable through deep assessor data analysis, points to a highly fragmented and decentralized rental landscape.

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 owners over individuals in portfolios of 6-10 properties in Dallas County.
Detailed Findings

A distinct pattern emerges when analyzing ownership by entity type across portfolio sizes. Individual investors form the backbone of the market, but companies become the dominant owners once a portfolio reaches the 6-10 property tier, where they own 30 properties (58.8%) compared to individuals' 21 properties (41.2%).

This trend solidifies in the next tier up (11-20 properties), where companies own 37 properties (58.7%) versus 26 for individuals (41.3%). This crossover point suggests that as landlords scale their operations beyond a handful of properties, they tend to incorporate for liability, financing, or operational efficiency.

In the smallest tiers, individual ownership is supreme. For single-property portfolios, individuals own 989 properties (83.9%), and for two-property portfolios, they own 106 properties (63.1%). This highlights that the entry point and early growth stages of real estate investment in Dallas County are almost exclusively an individual pursuit.

The 3-5 property tier represents a transition zone, where individual ownership is still the majority at 57.7% but company ownership becomes much more significant at 42.3%. This is the final stage before the corporate structure becomes the preferred method for holding larger portfolios.

Understanding this ownership evolution is critical for anyone analyzing the market. It shows a clear path from individual investment to more formalized business structures as portfolios grow, a pattern that can be tracked with detailed property datasets.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is heavily concentrated in a single zip code, 65622, which holds 839 investor-owned properties.
Detailed Findings

Geographic analysis reveals an extreme concentration of investor activity within Dallas County. The 65622 zip code is the undisputed hub, containing 839 investor-owned SFRs, which is more than six times the number in the next-closest zip code (65764, with 128 properties).

While 65622 dominates by sheer volume, the zip code 65536 exhibits the highest market penetration, with investors owning 46.6% of its housing stock. This indicates a different kind of investor saturation, where nearly half the homes are rentals, likely impacting the local market character significantly.

Several other zip codes also show high investor ownership rates, including 65786 (31.6%), 65685 (30.7%), and 65622 itself (30.3%). This clustering of high-rate areas suggests specific neighborhoods or towns are particularly attractive to investors.

The top five zip codes by property count (65622, 65764, 65590, 65644, 65767) collectively hold 1,326 of the 1,590 investor-owned properties in the county. This means 83.4% of all investor properties are located in just these five areas, highlighting a targeted geographic strategy.

This level of concentration, both in absolute counts and ownership rates, is a critical finding. It allows for a more focused analysis of market dynamics, from pricing to rental availability, within these specific sub-markets. A granular property search tool would be essential for identifying opportunities in these hotspots.

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 Dallas County are aggressive net buyers, acquiring 4.7 properties for every one they sold in Q1 2026.
Detailed Findings

The historical transaction data clearly shows that landlords in Dallas County are in a phase of aggressive portfolio expansion. In Q1 2026, they purchased 33 SFR properties while selling only 7, resulting in a net gain of 26 properties and a buy-to-sell ratio of 4.7 to 1.

This behavior is not a recent anomaly but a consistent, multi-year trend. In the full year of 2025, landlords were net buyers by a margin of 168 properties (220 buys vs. 52 sells). Similarly, in 2024, they added a net of 133 properties to their portfolios (170 buys vs. 37 sells).

Institutional investors (1,000+ portfolio tier) display a much different, more cautious strategy. In Q1 2026, their activity was perfectly balanced with one purchase and one sale, indicating a neutral position. While they were slight net buyers in 2025 (7 buys vs. 2 sells), their overall volume is too low to influence the market meaningfully.

The persistent net buying from the broader landlord community signals strong confidence in the Dallas County rental market. These investors are not just trading properties among themselves; they are actively accumulating housing stock from the wider market and converting it to rental use.

This sustained accumulation trend has significant long-term implications for the local housing supply, potentially reducing the number of homes available for traditional owner-occupiers over time. These patterns are a key feature of our ongoing Investor Pulse reports.

Current Quarter Transactions

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

Key Insight
Investors were involved in 36.7% of all Q1 property transactions, with single-property buyers paying 75.6% more than institutions.
Detailed Findings

In the first quarter, landlords were a major force in the transaction market, participating in 33 of the 90 total SFR sales for a market share of 36.7%. This high level of involvement underscores their role in driving local market liquidity and setting price floors.

A massive price disparity exists between investor tiers. First-time landlords (Tier 01) paid the most, with an average purchase price of $274,097 across 23 transactions. At the other end of the spectrum, the single institutional purchase was for just $66,950, a 75.6% discount compared to the smallest buyers. This suggests institutions target deeply distressed or off-market assets not typically available to smaller players.

The data on inter-landlord trading shows that investors are primarily buying from the open market, not each other. Only 8.7% of purchases by single-property investors were from other landlords. While some mid-size tiers show higher rates of landlord-to-landlord deals (e.g., 40% for the 11-20 tier), it's not the primary source of inventory for the most active market segment.

Mom-and-pop investors (Tiers 01-04) dominated transaction volume, accounting for 26 of the 33 landlord deals. This aligns with their dominance in overall ownership and recent purchasing activity, confirming that small investors are the engine of the Dallas County market.

The purchasing strategy for the small-medium (21-50) tier also stands out. The one transaction in this tier was a 100% landlord-to-landlord deal at a low price of $128,440, indicating a possible portfolio transaction or a distressed sale between sophisticated parties.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Mom-and-pop landlords shape Dallas County's housing market, owning 95% of rentals and buying nearly half of all homes sold.
Holdings
In Dallas County, MO, landlords own 1,590 SFR properties, representing a 27.6% market penetration rate. The ownership is dominated by individual investors, who hold 1,221 of these properties (76.8%), compared to 423 (26.6%) owned by companies.
Pricing
Landlords demonstrated significant purchasing power in Q1 2026, paying an average of $217,106, which is 23.1% less than the $282,143 paid by traditional homeowners, a discount of $65,037 per property.
Activity
Investor activity was exceptionally high in Q4 2025, with landlords acquiring 46.0% of all SFRs sold (29 properties). This surge was led by new market entrants, with 23 entities purchasing their first rental property.
Market Share
The investor market is defined by small-scale ownership, as mom-and-pop landlords (1-10 properties) control 94.8% of investor-held housing. In contrast, institutional investors (1,000+ properties) have a minimal presence, owning just 0.3% of the stock.
Ownership Type
Individual investors are the primary owners in smaller portfolios, but companies become the majority owners in the 6-10 property tier. This indicates a strategic shift to corporate structures as landlords scale their operations.
Transactions
Landlords are in a strong accumulation phase, acting as net buyers with a 4.7-to-1 buy/sell ratio in Q1 2026 (33 buys vs 7 sells). Institutional investors, however, were neutral, with one purchase and one sale.
Market Narrative

The real estate investor landscape in Dallas County, Missouri, is characterized by the overwhelming dominance of small, individual landlords. Investors collectively own 1,590 Single-Family Residential (SFR) properties, accounting for a significant 27.6% of the county's total SFR market. This portfolio is firmly in the hands of 'mom-and-pop' operators (1-10 properties), who control 94.8% of all investor-owned housing. In stark contrast, institutional investors have a negligible footprint, with just 0.3% of the market share. Ownership is primarily individual-based, with private landlords holding 76.8% of properties, though a shift to corporate ownership occurs as portfolios grow beyond six properties.

Investor activity is robust and influential. In Q4 2025, landlords acquired a staggering 46.0% of all homes sold in the county, driven by an influx of 23 new single-property investors. This purchasing power is amplified by a distinct pricing advantage; in Q1 2026, investors paid 23.1% less on average than traditional homeowners, securing a $65,037 discount per property. Transaction data confirms a strong growth trajectory, with landlords acting as aggressive net buyers. In Q1 2026, they bought 4.7 properties for every one they sold, signaling sustained confidence and a strategy of portfolio accumulation.

The key takeaway for Dallas County is that its rental market is decentralized and controlled by a large base of local stakeholders, not distant corporations. The heavy concentration of investor ownership in specific zip codes, like 65622 where they own 30.3% of homes, has profound implications for local housing affordability and availability. The consistent, high-volume net buying by these small investors is actively shifting housing stock from owner-occupancy to the rental pool, a fundamental market dynamic that will continue to shape the community for the foreseeable future.

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 09:08 PM
Data Period Q1 2026
Geography Level County
Geography Dallas (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
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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
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
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
Chart Section9 Ownership
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Chart Section9 Growth
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Chart Section9 Growth Q4
Chart Section9 Growth Q4
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Chart Section9 Yoy Comparison
Chart Section9 Yoy Comparison
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Chart Section10 Top Regions
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
Chart Section11 Institutional
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Chart Section11 Institutional Price
Chart Section11 Institutional Price
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Chart Section12 Transactions
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

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.

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

How to cite this report

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