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

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

Market Overview

Total SFR Properties in Montgomery (MO)
14
Total Investors in Montgomery (MO)
5
Investor Owned SFR in Montgomery (MO)
5(35.7%)
Individual Landlords
Landlords
4
SFR Owned
4
Corporate Landlords
Landlords
1
SFR Owned
1
Understanding Property Counts

Distinct Count Methodology: The total 5 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

Montgomery County, MO: A Static Market Defined by Single-Property, Cash-Owning Landlords
Investors own 5 single-family properties, a significant 35.7% of the market in Montgomery County, MO. The entire investor portfolio is controlled by single-property landlords, with individuals holding 80% of these assets. The market is highly stable, showing no purchase or sale activity in Q4 2025, and is characterized by 100% cash ownership.
Landlord Owned Current Holdings
Investors own 5 SFR properties (35.7% of the market), with individuals holding 4 (80%) of them.
All 5 investor-owned properties are held free and clear, with 0 financed and 5 owned with cash. Correspondingly, 100% of these properties are non-owner-occupied and serve as rentals.
Landlord vs Traditional Homeowners
No landlord or homeowner acquisition pricing data is available for comparison due to a lack of recent sales activity.
The absence of transactional data for recent quarters prevents the analysis of pricing trends or the calculation of a landlord-homeowner price gap.
Current Quarter Purchases
Landlords made 0 purchases in Q4 2025, representing 0.0% of a completely inactive market.
With zero total purchases, both mom-and-pop and institutional investor tiers were inactive. No new landlords entered the market during this period.
Ownership by Tier
Mom-and-pop landlords have absolute control, owning 100.0% of all investor-owned SFR properties.
Single-property landlords (Tier 01) alone account for all 5 investor-owned homes. There is no institutional (Tier 09) ownership in the county.
Ownership by Tier & Type
No pricing data is available to compare acquisition costs between individual and company buyers.
Individuals own 80.0% of single-property portfolios, while a company owns the remaining 20.0%. Companies do not have a majority stake in any tier.
Geographic Distribution
Investor activity is distributed across zip codes 63350, 63361, and 63363, with very small property counts.
The zip code 63350 has the highest investor penetration rate at 100.0%, though this represents just a single property. Zip codes 63361 and 63363 both have a 33.3% investor ownership rate.
Historical Transactions
No historical transaction data is available, preventing analysis of buying patterns or landlord-to-landlord sales.
The absence of buy/sell data for all landlords and the institutional tier means net buyer/seller status cannot be determined. It points to a buy-and-hold market with minimal turnover.
Current Quarter Transactions
Landlords were involved in 0.0% of transactions in Q4 2025, as there were no transactions in the market.
All investor tiers, from mom-and-pop to institutional, recorded zero transactions. Consequently, there was no inter-landlord trading activity during the quarter.

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 own 5 SFR properties (35.7% of the market), with individuals holding 4 (80%) of them.
Detailed Findings

In Montgomery County, MO, investors hold a significant 35.7% of the single-family residential market, owning 5 out of the 14 total SFR properties.

Individual investors are the primary owners, controlling 4 properties, which constitutes 80.0% of the investor-owned portfolio. Company ownership is minimal, with just 1 property representing the remaining 20.0%.

A defining characteristic of this market is the complete absence of financing among investors. All 5 landlord-owned properties are designated as cash-owned, indicating a financially stable, low-leverage investor base.

The portfolio is entirely focused on rental income, with all 5 properties classified as rented and non-owner-occupied. This reflects a pure-play rental strategy among the county's landlords.

The ownership structure consists of 5 distinct landlord entities. This is split between 4 individual landlords and 1 company landlord, showing that the average portfolio size for any entity type is just one property.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
No landlord or homeowner acquisition pricing data is available for comparison due to a lack of recent sales activity.
Detailed Findings

There is no available acquisition pricing data for landlords or traditional homeowners in Montgomery County, MO for the recent quarters.

The lack of sales data prevents a direct comparison between the prices paid by investors and those paid by homeowners.

Consequently, it is not possible to determine if a price gap exists or to analyze pricing trends over time, such as quarter-over-quarter changes or appreciation since the 2020-2023 period.

This absence of data suggests a market with very low liquidity and infrequent transactions for both investor and homeowner segments.

Current Quarter Purchase Summary

Analysis of Q1 2026 purchase activity by investor tier and type

Key Insight
Landlords made 0 purchases in Q4 2025, representing 0.0% of a completely inactive market.
Detailed Findings

The fourth quarter of 2025 saw a complete standstill in the Montgomery County, MO real estate market, with 0 total SFR purchases recorded.

Consequently, landlords acquired 0 properties, accounting for 0.0% of all market activity during this period.

Activity was nonexistent across all investor tiers. Mom-and-pop landlords (Tiers 01-04) and institutional investors (Tier 09) both made zero purchases.

The lack of activity in the single-property tier signifies that no new landlords entered the market in Q4 2025.

This data points to an extremely stable or stagnant market where properties are not changing hands, at least within the timeframe measured.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords have absolute control, owning 100.0% of all investor-owned SFR properties.
Detailed Findings

The investor landscape in Montgomery County is exclusively composed of small-scale landlords. Mom-and-pop investors, defined as those owning 1-10 properties, control 100.0% of the investor-owned SFR housing stock.

Ownership is concentrated entirely at the smallest scale. The single-property tier (Tier 01) accounts for all 5 investor-owned properties, representing 100.0% of the total.

There is zero presence of large-scale or institutional investors. The 1,000+ property tier (Tier 09) holds 0.0% of the market share, underscoring the local, small-investor nature of the county.

The market structure is simple, with 5 distinct entities each owning a single property. This highlights a market of individual real estate investing rather than portfolio-building.

Pricing data by tier is unavailable due to the lack of transactions, preventing an analysis of whether larger or smaller investors pay different prices.

Chart Section8 Distribution
Chart Section8 Prices
Chart Section8 Prices Q4

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
Key Insight
No pricing data is available to compare acquisition costs between individual and company buyers.
Detailed Findings

Ownership is split within the single-property tier, which is the only active tier in Montgomery County. Individual landlords own 4 of these properties (80.0%), while a single company owns 1 property (20.0%).

There is no crossover point where companies become the majority owners, as all investor activity is confined to the smallest portfolio size where individuals are dominant.

This structure shows that even the corporate presence in the market is limited to a single-property holding, mirroring the strategy of individual landlords.

Due to a lack of recent sales, it is not possible to compare acquisition prices between individual and company investors within this tier.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is distributed across zip codes 63350, 63361, and 63363, with very small property counts.
Detailed Findings

Investor ownership in Montgomery County is spread across a few zip codes in very small numbers. The area with the most properties is 63361, with 2 investor-owned homes.

The highest concentration by rate is in zip code 63350, which has a 100.0% investor ownership rate. However, this is based on a total of only 1 SFR property in that zip code.

Other areas of activity include 63361 and 63363, both of which show an investor ownership rate of 33.3%.

The data highlights that investor presence is not concentrated in one single area but is found in small pockets throughout the county.

The top regions by property count and by ownership percentage are the same due to the small overall number of investor properties 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

Key Insight
No historical transaction data is available, preventing analysis of buying patterns or landlord-to-landlord sales.
Detailed Findings

A complete lack of historical transaction data for Montgomery County makes it impossible to analyze long-term investor behavior.

Without buy and sell transaction counts, the net position of landlords cannot be calculated. It is unknown whether they have historically been net buyers or net sellers.

Similarly, data on landlord-to-landlord transactions is unavailable, so the level of internal market liquidity cannot be assessed.

Price trends for acquisitions versus sales are also indeterminable, precluding any analysis of potential profit margins or market timing.

This absence of historical data across all timeframes suggests a highly stable, non-transactional rental market where landlords adopt a long-term hold strategy.

Current Quarter Transactions

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

Key Insight
Landlords were involved in 0.0% of transactions in Q4 2025, as there were no transactions in the market.
Detailed Findings

The fourth quarter of 2025 was entirely dormant in Montgomery County, with zero total real estate transactions recorded. Landlords' share of this activity was therefore 0.0%.

Transactional volume was zero across all investor tiers. Single-property landlords and all other mom-and-pop tiers were completely inactive.

As there were no purchases, there was no inter-landlord trading activity. The percentage of properties bought from other landlords was 0.0%.

Average purchase prices for all tiers were $0, reflecting the absence of any sales during the period.

This lack of Q4 activity aligns with the broader pattern of a static, buy-and-hold investor market in the county.

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

TALK TO AN EXPERT

Executive Summary

Montgomery County's rental market is 100% controlled by single-property, cash-owning landlords amidst zero recent sales activity.
Holdings
In Montgomery County, MO, landlords own 5 single-family properties, representing a significant 35.7% of the market. The portfolio is dominated by individuals, who hold 4 of these properties (80.0%), compared to just 1 (20.0%) owned by a company.
Pricing
No landlord or homeowner pricing data is available for Q4 2025 due to a complete lack of sales transactions in the market.
Activity
The market was inactive in Q4 2025, with landlords purchasing 0 properties, accounting for 0.0% of all sales. Consequently, no new landlords entered the market during this period.
Market Share
Small, 'mom-and-pop' landlords (1-10 properties) exert total control over the rental market, owning 100.0% of all investor-held homes. There is no institutional (1000+ properties) ownership in the county.
Ownership Type
Individual investors are the primary force, owning 80.0% of the rental stock. With all ownership in the single-property tier, there is no point at which companies become the majority holders.
Transactions
With zero recorded buy or sell transactions in Q4 2025, the net position for all landlords is neutral. The market demonstrates a clear buy-and-hold characteristic with no recent turnover.
Market Narrative

The real estate investment landscape in Montgomery County, MO, is a unique microcosm of stability and small-scale ownership. Investors hold 5 single-family properties, a notable 35.7% of the total SFR market. Ownership is overwhelmingly local, with individual landlords controlling 4 homes (80.0%), while a single company holds the remaining one. The market structure is defined by its grassroots nature: 100% of these investor-owned properties belong to 'mom-and-pop' landlords in the single-property tier, with absolutely no institutional presence.

Investor behavior in Montgomery County is characterized by a complete lack of recent transactional activity and a strong preference for unleveraged holdings. The fourth quarter of 2025 saw zero purchases or sales by investors, indicating a dormant market where owners employ a long-term hold strategy. Further reinforcing this stability, 100% of the investor-owned properties are held free-and-clear with cash, eliminating mortgage-related pressures and suggesting a focus on consistent rental income over speculative appreciation.

The key takeaway from this Investor Pulse report is that Montgomery County represents a mature, non-transactional rental market. It is dominated by a small group of financially conservative, individual landlords who own their single properties outright. For those analyzing the housing market, this county serves as an example of a stable environment insulated from the pressures of high-volume trading and institutional capital, relying instead on a simple, long-term rental model.

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 09:19 PM
Data Period Q1 2026
Geography Level County
Geography Montgomery (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 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 Section9 Ownership
Chart Section9 Ownership
×
Chart Section9 Growth
Chart Section9 Growth
×
Chart Section9 Growth Q4
Chart Section9 Growth Q4
×
Chart Section10 Top Regions
Chart Section10 Top Regions
×
Chart Section10 Top Pct
Chart Section10 Top Pct

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