Marengo (AL) Investor Pulse Report (2026-Q1)

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

Market Overview

Total SFR Properties in Marengo (AL)
5,189
Total Investors in Marengo (AL)
1,185
Investor Owned SFR in Marengo (AL)
1,195(23.0%)
Individual Landlords
Landlords
1,062
SFR Owned
1,013
Corporate Landlords
Landlords
123
SFR Owned
193
Understanding Property Counts

Distinct Count Methodology: The total 1,195 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

Small landlords dominate Marengo County with 94.6% ownership, buying properties at 69% discounts
Investors own 1,195 single-family properties in Marengo County, representing 23.0% of the market. This ownership is overwhelmingly concentrated among mom-and-pop landlords (94.6%), who are actively acquiring properties at a 69.3% discount compared to traditional homeowners. While landlords remain net buyers, institutional investors are completely absent from the market.
Landlord Owned Current Holdings
Investors own 1,195 SFR properties in Marengo County, with individuals holding 84.8%.
The vast majority of investor properties were purchased with cash (1,181), while only 14 are financed. Rented properties account for 97.6% of the landlord portfolio, signaling a strong focus on rental income.
Landlord vs Traditional Homeowners
Landlords paid 69.3% less than homeowners in Q1, an average discount of $142,108.
This significant pricing advantage for landlords is a consistent trend, with discounts ranging from 25.5% to 69.3% over the last four reported quarters. This suggests investors are targeting distressed or off-market properties.
Current Quarter Purchases
Landlords acquired 22.7% of all SFR properties sold in the most recent quarter.
Mom-and-pop investors (1-10 properties) accounted for 100% of all landlord purchases. In contrast, institutional investors made zero acquisitions, highlighting the market's reliance on small-scale buyers.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) overwhelmingly control 94.6% of investor-owned SFRs.
Institutional investors with over 1,000 properties represent just 0.1% of the landlord-owned market. Given their zero acquisitions in the recent quarter, their market share is stagnant in Marengo County.
Ownership by Tier & Type
While individuals dominate small portfolios, companies become the majority owners at the 6-10 property tier.
The transition to corporate ownership occurs in the 6-10 property tier, where companies hold 66.7% of assets. In portfolios of 11-20 properties, company ownership solidifies at 93.3%.
Geographic Distribution
Investor activity is concentrated in zip code 36732, which holds 497 landlord-owned properties.
The highest investor penetration is in zip code 36763, with a 63.0% ownership rate. This highlights a divergence between areas with high raw counts and those with high market saturation.
Historical Transactions
Landlords in Marengo County are consistently net buyers, acquiring 6 properties for every 2 sold in Q1 2026.
This net buying trend has been consistent, with a 6-to-1 buy/sell ratio in 2025 and a 3.2-to-1 ratio in 2024. However, acquisition volume has slowed, with 6 purchases in Q1 2026 compared to an average of 13.75 per quarter in 2024.
Current Quarter Transactions
Landlords were involved in 18.2% of all SFR transactions in the first quarter, purchasing 6 properties.
Single-property investors paid an average of $80,000 per property, while institutional investors made no purchases. These small investors sourced 40.0% of their acquisitions from other landlords, indicating a fluid local market.

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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 1,195 SFR properties in Marengo County, with individuals holding 84.8%.
Detailed Findings

Investors hold a significant 23.0% share of the single-family residential market in Marengo County, with a total portfolio of 1,195 properties.

The market is defined by small, individual investors rather than corporations. Individuals own 1,013 properties, comprising 84.8% of the investor-owned housing stock, compared to just 193 properties (16.2%) owned by companies.

Investor acquisitions are overwhelmingly funded by cash. Of the 1,195 properties held, 1,181 were cash purchases, with only 14 (1.2%) being financed. This indicates a low reliance on leverage and high liquidity among local investors.

The portfolio is almost entirely focused on generating rental income, with 1,167 properties classified as rented, which accounts for 97.6% of all investor-owned homes.

The structure of ownership points to a market of hyperlocal operators. With 1,185 distinct landlord entities for 1,195 properties, the average portfolio size is just over one property per owner, reinforcing the dominance of first-time and small-scale landlords using property datasets to find opportunities.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords paid 69.3% less than homeowners in Q1, an average discount of $142,108.
Detailed Findings

Investors in Marengo County secure properties at a staggering discount. In Q1 2026, the average landlord acquisition price was $62,892, a full 69.3% below the traditional homeowner price of $205,000.

This price gap of $142,108 per property in the first quarter is not an anomaly but a persistent market feature. In previous quarters, landlords consistently paid less, with discounts of 25.5% in Q3 2025, 47.7% in Q2 2025, and 66.3% in Q1 2025.

The extreme and consistent nature of this discount suggests that investors and traditional homebuyers operate in two entirely different segments of the market. Investors are likely not competing for on-market, retail-priced homes but are instead sourcing deals through off-market channels or by targeting distressed assets.

While landlord acquisition prices have fluctuated, they remain significantly lower than the overall market, indicating a strategy focused on acquiring properties with built-in equity.

The data also reveals very low transaction volumes in some recent periods, with zero properties purchased by landlords in several quarters of 2024 and 2025, pointing to an opportunistic rather than a high-velocity investment environment.

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 22.7% of all SFR properties sold in the most recent quarter.
Detailed Findings

In the most recent quarter of activity, landlords purchased 5 of the 22 total SFRs sold in Marengo County, capturing a 22.7% market share of acquisitions.

The entirety of this purchasing activity was driven by small investors. Mom-and-pop landlords (owning 1-10 properties) were responsible for 100% of these acquisitions, with no properties bought by mid-size or institutional players.

The market continues to attract new entrants at the smallest scale. In the quarter, 5 new landlord entities entered the market, purchasing a total of 4 properties and establishing themselves in the single-property tier.

Institutional investors (1,000+ properties) were completely inactive, making zero purchases. This total absence underscores that Marengo County is not a target for large-scale corporate investment.

Activity was highly concentrated in the entry-level tier. New or single-property landlords drove 80% of all investor purchasing volume, acquiring 4 of the 5 properties bought by investors.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) overwhelmingly control 94.6% of investor-owned SFRs.
Detailed Findings

The investor landscape in Marengo County is overwhelmingly dominated by small-scale landlords. Mom-and-pop investors, defined as those owning 1-10 properties, control a combined 94.6% of all investor-held single-family homes.

Single-property landlords form the bedrock of the rental market. This tier alone accounts for 967 properties, representing 79.4% of the total investor portfolio.

In stark contrast, the presence of institutional capital is practically nonexistent. Investors in the 1,000+ property tier own just a single property in the county, making up a negligible 0.1% of the investor market share.

This distribution defies the common narrative of corporate consolidation in housing. The market structure is highly fragmented, with the vast majority of rental housing provided by local, small-portfolio owners.

Mid-size investors (11-1,000 properties) hold the remaining 5.3% of the portfolio, but their footprint is minor compared to the massive base of mom-and-pop operators.

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
While individuals dominate small portfolios, companies become the majority owners at the 6-10 property tier.
Detailed Findings

Ownership structure evolves distinctly as portfolio sizes increase in Marengo County. Individual investors are the primary owners in smaller tiers, holding 90.8% of single-property portfolios and 79.1% of two-property portfolios.

A clear crossover point occurs once an investor's portfolio reaches 6 to 10 properties. In this tier, company ownership jumps to a 66.7% majority, indicating that this is the typical size where investors incorporate for liability protection and operational efficiency.

For larger portfolios, company ownership becomes the standard. In the 11-20 property tier, companies own a commanding 93.3% of the homes.

This pattern illustrates a common investor lifecycle: individuals enter the market with one or two properties and then transition to a corporate structure as their holdings expand and become more professionalized.

Interestingly, a single individual is listed as owning one property in the 51-100 tier, an outlier that could represent a high-net-worth individual managing a personal portfolio directly rather than through a corporate entity.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is concentrated in zip code 36732, which holds 497 landlord-owned properties.
Detailed Findings

Investor ownership in Marengo County is highly concentrated geographically. The top five zip codes by property count contain 995 of the 1,195 investor-owned homes, representing 83.3% of the entire portfolio.

The zip code 36732 is the clear epicenter for investor holdings, containing 497 properties. This is more than double the count of the next-highest zip code, 36748, which has 231 properties.

However, the areas with the highest counts are not necessarily the most saturated. The highest investor ownership rate is found in zip code 36763, where landlords own a remarkable 63.0% of all single-family homes.

This distinction between volume and penetration rate is critical. Zip codes like 36732 (21.6% rate) are hubs of investor activity by count, while areas like 36763 (63.0% rate) and 36786 (45.2% rate) are markets fundamentally defined by rental housing.

Analyzing these geographic trends via market reports reveals distinct submarkets, allowing investors to identify areas of high rental density versus those with emerging opportunities.

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
Key Insight
Landlords in Marengo County are consistently net buyers, acquiring 6 properties for every 2 sold in Q1 2026.
Detailed Findings

Investors in Marengo County are in a sustained accumulation phase, consistently buying more properties than they sell. In Q1 2026, they demonstrated a 3-to-1 buy-to-sell ratio, acquiring 6 homes while only selling 2.

This net buyer behavior is a long-term trend. In 2025, the ratio was even more aggressive at 6-to-1 (30 buys vs. 5 sells), and in 2024 it was 3.2-to-1 (55 buys vs. 17 sells), signaling strong, ongoing confidence in the local rental market.

While landlords remain net buyers, the overall pace of acquisitions has moderated over time. The 6 purchases in Q1 2026 represent a slowdown from the quarterly average of 7.5 buys in 2025 and 13.75 in 2024.

The persistent net buying activity suggests that existing landlords are focused on expanding their portfolios and holding for the long term rather than engaging in short-term flipping.

Data on institutional transactions is unavailable because their activity is nonexistent, confirming that all market velocity is generated by smaller investors.

Current Quarter Transactions

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

Key Insight
Landlords were involved in 18.2% of all SFR transactions in the first quarter, purchasing 6 properties.
Detailed Findings

In Q1, landlords participated in 18.2% of all single-family home transactions, all of which were purchases. This activity was exclusively driven by mom-and-pop investors, with no transactions recorded for institutional tiers.

The most active buyers were those in the single-property tier, who were responsible for 5 of the 6 total investor purchases during the quarter, highlighting the importance of new market entrants.

A significant level of deal flow occurs within the investor community itself. Among the most active single-property buyers, 40% of their acquisitions (2 out of 5) were purchased from other landlords, pointing to a liquid market for rental assets.

Pricing strategies vary even among small investors. The average purchase price for a Tier 01 buyer was $80,000, whereas the single purchase in the 3-5 property tier was for a much lower-priced asset at $28,676.

The complete lack of institutional transactions, combined with robust inter-landlord sales at the smallest tiers, paints a picture of a self-contained, hyperlocal investment ecosystem.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Small landlords dominate Marengo County with 94.6% ownership, buying properties at deep 69% discounts
Holdings
Landlords own 1,195 SFR properties in Marengo County, representing 23.0% of the market. This portfolio is overwhelmingly held by individual investors (1,013 properties, 84.8%) compared to companies (193 properties, 16.2%).
Pricing
In Q1, landlords paid an average of $62,892 per property, a 69.3% discount compared to the traditional homeowner price of $205,000. This equates to an average savings of $142,108 per home.
Activity
Landlords acquired 22.7% of all homes sold in the most recent quarter, with all purchases made by mom-and-pop investors. Activity included 5 new single-property landlords entering the market.
Market Share
The market is controlled by small investors, with mom-and-pop landlords (1-10 properties) owning 94.6% of all investor-held SFRs. In contrast, institutional firms (1,000+ properties) hold just 0.1%.
Ownership Type
Individual investors own the vast majority of small portfolios, but companies become the majority owners once a portfolio grows to the 6-10 property tier.
Transactions
Landlords are firmly in accumulation mode, operating as net buyers with a 3-to-1 purchase-to-sale ratio in Q1 (6 buys vs. 2 sells). Institutional investors were completely inactive, making no transactions.
Market Narrative

The real estate investor market in Marengo County, Alabama, is a landscape fundamentally shaped by small, local operators. Investors own 1,195 single-family homes, accounting for 23.0% of the county's total SFR housing stock. This ownership is not concentrated in corporate hands; rather, individuals own 84.8% of these properties. The market structure is highly fragmented, with mom-and-pop landlords (1-10 properties) controlling a commanding 94.6% of investor-owned homes, while institutional capital (1,000+ properties) has a negligible presence of only 0.1%.

Investor behavior is characterized by strategic, value-driven acquisitions. In the first quarter, landlords were net buyers with a 3-to-1 purchase-to-sale ratio, acquiring 22.7% of all homes sold. Their primary competitive advantage is a deep pricing discount; they paid an average of 69.3% less than traditional homeowners, suggesting a focus on distressed or off-market properties. This activity is fueled by new entrants, as 5 new single-property landlords joined the market, sourcing 40% of their purchases from other existing investors.

Ultimately, Marengo County represents a quintessential mom-and-pop rental market, operating independently of national institutional trends. The key dynamic is not corporate consolidation but a robust ecosystem of local investors who are skilled at sourcing undervalued assets and are steadily accumulating properties for long-term rental income. High investor saturation in specific zip codes, reaching up to 63.0%, indicates that in certain neighborhoods, the housing market is primarily a rental market, shaped and serviced by these small-scale entrepreneurs.

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 20, 2026 at 07:40 PM
Data Period Q1 2026
Geography Level County
Geography Marengo (AL)
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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 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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Creative Commons BY-NC-ND 4.0 - creativecommons.org/licenses/by-nc-nd/4.0/

How to cite this report

BatchData. (2026). Q1 2026 Marengo (AL) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-al-marengo/. Licensed under CC BY-NC-ND 4.0.