Preble (OH) Investor Pulse Report (2026-Q1)

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

Market Overview

Total SFR Properties in Preble (OH)
13,376
Total Investors in Preble (OH)
1,764
Investor Owned SFR in Preble (OH)
1,647(12.3%)
Individual Landlords
Landlords
1,572
SFR Owned
1,266
Corporate Landlords
Landlords
192
SFR Owned
400
Understanding Property Counts

Distinct Count Methodology: The total 1,647 represents distinct properties - if 2+ landlords co-own the same property, it's counted only once. This provides the most accurate representation of investor-owned SFR properties.

Why totals don't sum: When broken down by Individual vs Corporate ownership (or by tier), properties with co-ownership across categories are counted once per category. For example, if a property is co-owned by an individual AND a corporate landlord, it appears in both counts. This is why Individual + Corporate totals may exceed the distinct total by 2-4%, and percentages may sum to 100-104%.

Market Visualization

Chart Section2 Coverage
Chart Section3 Ownership Donut
Chart Section4 Distribution

Key Market Insights

Mom-and-Pop Landlords Command 90.8% of Preble County's Investor Market as Institutions Exit
Investors own 1,647 SFR properties in Preble County, representing 12.3% of the total market, with small 'mom-and-pop' landlords controlling a dominant 90.8% share. In a surprising market shift, investors paid an 18.4% premium over homeowners in Q1 2026. While smaller investors remain net buyers, institutional firms were net sellers in 2025, signaling a strategic retreat from the area.
Landlord Owned Current Holdings
Investors own 1,647 properties in Preble County, with individuals comprising 76.9% of the portfolio.
Cash is the preferred method of ownership, with 1,218 properties held free and clear versus just 429 that are financed. The portfolio is overwhelmingly rental-focused, as 1,589 properties (96.5%) are non-owner-occupied. Individual landlords (1,572) vastly outnumber company entities (192).
Landlord vs Traditional Homeowners
Investors paid a surprising 18.4% premium over homeowners in Q1 2026, at $160,700 vs $135,739.
This marks a dramatic reversal from 2025, when landlords consistently secured deep discounts, including 47.8% in Q3 ($112,660 vs $215,864) and 51.3% in Q1 ($80,000 vs $164,388). The price gap has shown extreme volatility, swinging from a discount of over $103,000 to a premium of nearly $25,000.
Current Quarter Purchases
Landlords purchased 9.9% of all Preble County homes sold in Q4 2025, acquiring 8 properties.
Mom-and-pop landlords drove all purchasing activity, accounting for 87.5% of investor acquisitions. Institutional investors with over 1,000 properties made zero purchases. The market saw 5 new single-property landlords enter during the quarter.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control a commanding 90.8% of investor-owned SFRs in Preble County.
Institutional investors with portfolios of 1,000+ properties have a negligible presence, owning just 3 homes, or 0.2% of the investor market. The single-property landlord tier alone is the largest segment, holding 1,089 properties, which constitutes 63.1% of all investor-owned housing.
Ownership by Tier & Type
Companies become the dominant owner type in portfolios of 11-20 properties, controlling 95.8% of that tier.
Individual investors overwhelmingly own smaller portfolios, accounting for 90.0% of single-property holdings and 78.3% of two-property portfolios. The 6-10 property tier represents a transition point, with ownership nearly split between individuals (54.2%) and companies (45.8%).
Geographic Distribution
Investor activity in Preble County is concentrated in zip codes 45320, 45311, and 45070.
The highest rate of investor ownership is in zip code 45070, where investors own 29.2% of SFRs. Zip code 45320 has the highest absolute number of investor-owned homes at 637, representing a 12.0% ownership rate. Zip code 45311 also shows significant penetration at 18.4%.
Historical Transactions
While landlords overall remain net buyers, institutional investors were net sellers in 2025, signaling a strategic retreat.
In 2025, the overall landlord market was firmly in acquisition mode, buying 107 properties while selling only 50 for a net gain of 57. In stark contrast, institutional investors (1000+ tier) sold 4 properties and bought only 1, resulting in a net reduction of 3 properties from their portfolio.
Current Quarter Transactions
Landlords participated in 9.6% of all Preble County transactions in Q1 2026, with 10 total transactions.
Mom-and-pop investors drove the market, accounting for 8 of the 10 landlord transactions. Single-property landlords were highly active in trading, with 40.0% of their 5 purchases acquired from other existing landlords. Institutional investors logged zero transactions.

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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 1,647 properties in Preble County, with individuals comprising 76.9% of the portfolio.
Detailed Findings

In Preble County, the investor-owned single-family residential market consists of 1,647 properties, making up 12.3% of the total 13,376 SFRs. This signifies a notable, yet not dominant, investor presence in the local housing market.

Individual investors are the backbone of the rental market, owning 1,266 properties, which accounts for 76.9% of the investor-owned portfolio. In contrast, company-owned properties number 400, or 24.3%, a clear indication that ownership is decentralized among smaller players.

The ownership structure is further defined by entity counts, where 1,572 individual landlords operate compared to only 192 company landlords. This 8-to-1 ratio of individuals to companies underscores the 'mom-and-pop' nature of real estate investing in the county.

A strong preference for cash ownership is evident, with 1,218 properties (74.0%) owned outright, compared to 429 (26.0%) that are financed. This high cash-to-debt ratio suggests a financially stable and low-leverage investor base in the region.

The portfolio's primary purpose is clear, with 1,589 of the 1,647 properties classified as non-owner-occupied. This 96.5% rental concentration confirms that these holdings are almost exclusively for generating rental income rather than for personal use or speculation.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Investors paid a surprising 18.4% premium over homeowners in Q1 2026, at $160,700 vs $135,739.
Detailed Findings

In a significant market reversal, landlords paid an average of $160,700 for properties in Q1 2026, which is 18.4% more than the $135,739 paid by traditional homeowners. This $24,961 premium per property defies the typical trend of investors acquiring homes at a discount.

This recent premium starkly contrasts with the purchasing patterns of 2025. In Q3 2025, landlords paid $112,660 on average, a massive 47.8% discount compared to homeowners' $215,864. Similarly, in Q1 2025, investors paid just $80,000, representing a 51.3% discount from the homeowner price of $164,388.

The volatility in the landlord-homeowner price gap is a key finding, swinging from an investor discount of $103,204 in Q3 2025 to an investor premium of $24,961 in Q1 2026. This suggests fluctuating market conditions or a change in the type of properties being targeted by investors.

Overall acquisition prices have shown significant appreciation. The average investor purchase price has nearly doubled from $87,920 in 2024 to $160,700 in the first quarter of 2026, signaling intense price growth in the assets investors are acquiring.

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 purchased 9.9% of all Preble County homes sold in Q4 2025, acquiring 8 properties.
Detailed Findings

In the fourth quarter of 2025, landlords acquired 8 of the 81 total SFR properties sold in Preble County, capturing 9.9% of the market's purchase activity. This level of activity indicates a steady but not aggressive acquisition pace from investors.

The purchasing activity was entirely concentrated among smaller investors. Mom-and-pop landlords (1-10 properties) bought 7 of the 8 homes, representing 87.5% of all investor acquisitions. This highlights their crucial role in driving new investment.

New entrants form a significant part of the acquisition landscape, with 5 new entities buying their first investment property. These single-property landlords accounted for 4 of the 8 properties purchased by investors, or 50.0% of the volume.

In stark contrast, large-scale institutional investors (1000+ properties) were completely inactive, making zero purchases in Q4 2025. This absence reinforces the narrative that the local market is fueled by small, local investors rather than large corporations.

The data reveals a clear segmentation of activity. Beyond the new entrants, landlords in the 3-5 property tier acquired 3 homes (37.5%), and one larger investor in the 101-1000 tier purchased a single property (12.5%).

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) control a commanding 90.8% of investor-owned SFRs in Preble County.
Detailed Findings

The investor landscape in Preble County is overwhelmingly dominated by small-scale operators. Mom-and-pop landlords, defined as those owning 1-10 properties, collectively hold 1,488 homes, which amounts to a staggering 90.8% of the entire investor-owned SFR portfolio.

Single-property landlords are the most significant force in the market. This tier alone accounts for 1,089 properties, representing 63.1% of all investor-owned homes, demonstrating that first-time and small-scale investment is the primary driver of the rental market.

Mid-size landlords (11-100 properties) hold a combined 8.5% share, with 147 properties distributed across three tiers. Their presence, while notable, is minor compared to the smallest investors.

Conversely, institutional investors (1,000+ properties) have a minimal footprint, controlling just 3 properties, or 0.2% of the total. This near-absence of large corporate ownership challenges the common narrative of Wall Street dominating local housing markets.

The ownership distribution clearly shows a highly fragmented market. The vast majority of rental housing is provided by local community members and small businesses rather than large, centralized institutions.

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 dominant owner type in portfolios of 11-20 properties, controlling 95.8% of that tier.
Detailed Findings

Ownership structure shifts dramatically as portfolio sizes increase. While individuals dominate the overall market, companies assert control in larger tiers, a trend highlighted by a clear crossover point.

In smaller tiers, individual ownership is supreme. Individuals own 988 of the single-property landlord homes (90.0%) and 123 of the two-property portfolios (78.3%), showing a strong preference for personal ownership at the entry level.

The 6-10 property tier acts as a crucial transition zone. Here, the ownership split is nearly even, with individuals holding 78 properties (54.2%) and companies holding 66 (45.8%). This tier is where investors often decide to incorporate for liability and scale.

The definitive crossover occurs in the 11-20 property tier. At this stage, companies own 46 properties, a commanding 95.8% share, while individuals own only 2 properties (4.2%). This indicates that scaling beyond 10 properties almost exclusively happens under a corporate structure.

This pattern reveals a lifecycle of an investor in Preble County: starting as an individual and incorporating as the portfolio grows in complexity and size. Comprehensive assessor data allows for detailed tracking of these ownership trends by entity type.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity in Preble County is concentrated in zip codes 45320, 45311, and 45070.
Detailed Findings

Geographic analysis of investor ownership in Preble County reveals distinct pockets of concentration. The bulk of activity is centered in a few key zip codes, while others have little to no investor presence.

Zip code 45320 stands out for the highest volume of investor properties, with 637 homes. However, its investor ownership rate is a more moderate 12.0%, suggesting it's a large market with balanced ownership.

For the highest market penetration, zip code 45070 leads with a 29.2% investor ownership rate. This indicates a much higher concentration of rental properties relative to the total housing stock in that specific area.

Zip code 45311 also demonstrates a strong investor focus, with 304 investor-owned properties and an 18.4% ownership rate. This combination of significant volume and high penetration makes it a key submarket for investors.

The data highlights that the areas with the most investor properties are not always the ones with the highest percentage of investor ownership. This distinction is crucial for understanding different investment strategies, from targeting large, diverse areas to focusing on smaller, rental-heavy neighborhoods.

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
While landlords overall remain net buyers, institutional investors were net sellers in 2025, signaling a strategic retreat.
Detailed Findings

Transaction data reveals a divergence in strategy between small and large investors in Preble County. Overall, landlords have been consistent net buyers, steadily adding to their portfolios over the past two years.

In 2025, landlords demonstrated strong acquisition appetite, purchasing 107 SFRs while selling 50, resulting in a net increase of 57 properties. This trend continued into the new year, with 10 buys and 7 sells in Q1 2026 for a net gain of 3 properties.

However, institutional investors in the 1000+ property tier are moving in the opposite direction. During 2025, this cohort acted as net sellers, divesting 4 properties while only acquiring 1. This signals a strategic reduction of their holdings in the county.

This pattern suggests that as large institutional players exit, smaller local investors are stepping in to acquire those assets and continue growing their own portfolios. The market is consolidating under smaller ownership, not larger corporations.

The 2024 data shows a similar pattern, with landlords being net buyers (115 buys vs. 59 sells), while institutions were slight net buyers that year (3 buys vs. 1 sell), making their 2025 reversal to net sellers more pronounced.

Current Quarter Transactions

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

Key Insight
Landlords participated in 9.6% of all Preble County transactions in Q1 2026, with 10 total transactions.
Detailed Findings

In the first quarter of 2026, landlords were involved in 10 of the 104 total SFR transactions in Preble County, capturing a 9.6% share of market activity. This indicates a measured but consistent level of investor participation.

Activity was heavily skewed towards smaller investors. Mom-and-pop landlords (Tiers 01-04) were responsible for 80% of investor transactions, with 8 of the 10 transactions originating from these tiers. Institutional investors (Tier 09) were entirely absent from the market, recording zero transactions.

The single-property landlord tier was the most active, with 5 transactions. This group showed a strong tendency for inter-landlord trading, as 2 of their 5 purchases (40.0%) were acquired from another landlord, suggesting a liquid market for existing rental properties.

Investors in the 3-5 property tier also engaged in this trend, with 1 of their 3 transactions (33.3%) coming from another landlord. This churning of assets between investors is a key feature of the local market dynamics.

Pricing automated valuation (AVM) data was only available for the large tier (101-1000), which had an average purchase price of $160,700 for its 2 transactions. Price data was not available for the more active mom-and-pop tiers, precluding a direct price comparison for the quarter.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Small Landlords Dominate Preble County with 90.8% Ownership as Institutions Divest
Holdings
Landlords own 1,647 SFR properties (12.3% of Preble County's market), with individual investors holding 1,266 (76.9%) and companies owning 400 (24.3%).
Pricing
In a reversal of prior trends, landlords paid an 18.4% premium over homeowners in Q1 2026, an average of $160,700 versus $135,739.
Activity
Landlords accounted for 9.6% of all transactions in Q1 2026. Activity was led by small investors, including 5 single-property landlords who completed transactions.
Market Share
Small 'mom-and-pop' landlords (1-10 properties) overwhelmingly control the market with 90.8% of investor housing, while institutional investors (1000+) own just 0.2%.
Ownership Type
Individual investors dominate smaller portfolios, but companies become the majority owners in portfolios larger than 10 properties, controlling 95.8% of the 11-20 property tier.
Transactions
Landlords remain net buyers in Q1 2026 with 10 buys vs 7 sells, while institutional investors were net sellers in 2025, divesting 4 properties while acquiring only 1.
Market Narrative

The single-family rental market in Preble County, OH, is fundamentally shaped by small, individual investors. Landlords own 1,647 SFR properties, representing 12.3% of the total housing stock. The ownership is highly decentralized: individual investors own 1,266 of these homes (76.9%), and 'mom-and-pop' operators with 1-10 properties control a commanding 90.8% of the entire investor portfolio. In contrast, institutional firms with over 1,000 properties have a negligible footprint, owning just 0.2%, defying the narrative of corporate consolidation.

Investor behavior in early 2026 marks a significant shift. In Q1, landlords participated in 9.6% of all home sales and, in a sharp reversal of previous trends, paid an 18.4% premium over traditional homeowners, with an average acquisition price of $160,700. Transaction data shows that while the overall landlord market remains in acquisition mode (net buyers in Q1 2026), institutional players have begun to divest, acting as net sellers in 2025. This divergence suggests smaller investors are absorbing inventory as larger firms retreat from the market.

The key takeaway from the Preble County market is its resilience and reliance on local, small-scale investment. The market structure, with its high concentration of mom-and-pop owners and low institutional presence, points to a stable rental environment less susceptible to the volatility of large-scale corporate strategies. The recent trend of institutions selling to smaller buyers reinforces this localization, solidifying the community-based nature of the county's rental housing landscape. This dynamic presents unique opportunities for local investors who can leverage deep market knowledge, a strategy detailed in many market reports.

About This Report

Report Methodology

This report analyzes BatchData's Investor Pulse dataset, covering single-family residential (SFR) investor activity across the United States.

Data is extracted from 15 CSV files covering ownership, transactions, and pricing trends, then analyzed using AI-powered insights.

Property Counting Methodology:

Distinct Counts: All headline totals represent distinct properties. If 2+ landlords co-own the same property, it's counted only once. This provides accurate market representation.

Category Breakdowns: When analyzing by tier (01-09), owner type (Individual/Corporate), or occupancy status, properties with co-ownership across categories are counted once per category. This causes breakdowns to sum 2-4% higher than totals, and percentages may sum to 100-104%. This is expected and reflects co-ownership patterns.

Tier Properties Category
01-041-10Mom-and-Pop
05-0711-100Mid-Size
08101-1000Large
091000+Institutional
About BatchData

BatchData provides comprehensive real estate data and analytics, offering insights into property ownership, investor activity, and market trends across the United States.

The Investor Pulse dataset tracks single-family residential (SFR) investor behavior at national, state, county, and MSA levels.

For more information, visit batchdata.io or explore our API documentation.

Data Freshness
Report Generated July 22, 2026 at 12:52 AM
Data Period Q1 2026
Geography Level County
Geography Preble (OH)
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Chart Section2 Coverage
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Chart Section3 Ownership Donut
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Chart Section3 Ownership Bar
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Chart Section4 Distribution
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Chart Section5 Holdings
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Chart Section6 Prices
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Chart Section6 Prices Alt
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Chart Section6 Yoy Comparison
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Chart Section6 Trends
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Chart Section7 Purchases
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Chart Section7 Tiers
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Chart Section8 Distribution
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Chart Section8 Prices
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Chart Section8 Prices Q4
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Chart Section8 Prices 2020
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Chart Section8 Yoy Comparison
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Chart Section9 Ownership
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Chart Section9 Growth
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Chart Section9 Growth Q4
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Chart Section9 Yoy Comparison
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Chart Section10 Top Regions
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Chart Section10 Top Pct
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Chart Section11 Buysell
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Chart Section11 Buysell Price
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Chart Section11 Yoy All Landlords
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Chart Section11 Institutional
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Chart Section11 Institutional Price
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Chart 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
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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 Preble (OH) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-oh-preble/. Licensed under CC BY-NC-ND 4.0.