Montgomery (AL) Investor Pulse Report (2025-Q4)

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

Market Overview

Total SFR Properties in Montgomery (AL)
76,409
Total Investors in Montgomery (AL)
15,236
Investor Owned SFR in Montgomery (AL)
18,938(24.8%)
Individual Landlords
Landlords
12,837
SFR Owned
12,436
Corporate Landlords
Landlords
2,399
SFR Owned
6,671
Understanding Property Counts

Distinct Count Methodology: The total 18,938 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 Montgomery County with a 79.9% Market Share, as Institutions Retreat as Net Sellers
In Montgomery County, landlords own 18,938 SFR properties, representing 24.8% of the total market. This ownership is overwhelmingly controlled by mom-and-pop landlords (1-10 properties) at 79.9%, while institutional investors hold just 1.8%. In Q4 2025, landlords were active buyers, securing a staggering 53.0% discount compared to homeowners, even as institutional players were net sellers, divesting 4 more properties than they acquired.
Landlord Owned Current Holdings
Landlords own 18,938 SFR properties in Montgomery County, with individuals holding 65.7%.
Cash purchases significantly outweigh financing, with 14,276 properties owned outright versus 4,662 financed. Individual investors are the market's backbone, comprising 12,837 of the 15,236 total landlords.
Landlord vs Traditional Homeowners
Landlords acquired property at a massive 53.0% discount to homeowners in Q4, paying $114,966 on average.
This Q4 discount of $129,552 per property is a significant increase from the 30.4% discount ($82,873) seen in Q3. The price gap has been substantial all year, exceeding 55% in both Q1 and Q2, demonstrating a consistent and powerful purchasing advantage for investors.
Current Quarter Purchases
Landlords captured 31.5% of all SFR purchases in Q4 2025, acquiring 269 properties.
Mom-and-pop investors (1-10 properties) drove this activity, accounting for 69.6% of all landlord purchases. In stark contrast, institutional investors with over 1,000 properties made up only 3.6% of acquisitions.
Ownership by Tier
Mom-and-pop landlords control a commanding 79.9% of all investor-owned SFR housing in Montgomery County.
This share, representing portfolios of 1-10 properties, dwarfs the institutional sector (1,000+ properties), which owns just 1.8% of the inventory. Single-property landlords alone account for nearly half the market at 49.5%.
Ownership by Tier & Type
Companies assume majority ownership at the 6-10 property tier, signaling a key shift from individual investment.
While individuals dominate smaller portfolios, owning 87.1% of single-property holdings, companies control 53.3% of the 6-10 property tier and nearly all large portfolios, including 99.8% of those in the 101-1,000 property tier.
Geographic Distribution
Investor activity is heavily concentrated in specific zip codes, with 36109 leading at 2,652 properties.
While 36109 has the highest count, other zip codes show much higher investor penetration rates. Zip code 36107 has the highest ownership rate at 48.9%, followed by 36110 (43.8%) and 36104 (42.8%).
Historical Transactions
While landlords are strong net buyers, institutional investors are actively selling their Montgomery County assets.
In Q4 2025, the overall landlord market was a net buyer of 119 properties (313 buys vs. 194 sells). During the same period, institutional investors were net sellers of 4 properties (10 buys vs. 14 sells), a trend consistent for the entire year.
Current Quarter Transactions
Landlords were involved in 27.1% of all Q4 transactions, with large investors paying 52.2% more per property.
In Q4, institutional investors paid an average of $154,423 per property, while new single-property landlords paid only $101,479. Furthermore, the largest investors (101-1000+ properties) sourced 100% of their acquisitions from other landlords, indicating a closed, professional 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
Landlords own 18,938 SFR properties in Montgomery County, with individuals holding 65.7%.
Detailed Findings

Investor ownership constitutes a significant 24.8% of the Single-Family Residential market in Montgomery County, totaling 18,938 properties.

Individual investors are the primary force, owning 12,436 properties, which is 65.7% of the entire investor-owned portfolio, compared to the 6,671 properties (35.2%) held by companies.

The market shows a strong preference for un-leveraged assets, with cash-owned properties (14,276) outnumbering financed ones (4,662) by more than a 3-to-1 ratio.

The landlord landscape is granular, with 12,837 individual landlords making up 84.3% of all investor entities, reinforcing the 'mom-and-pop' character of the local rental market.

Nearly the entire investor portfolio is geared towards rentals, with 18,072 of the 18,938 properties classified as rented, indicating a strong focus on generating rental income.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords acquired property at a massive 53.0% discount to homeowners in Q4, paying $114,966 on average.
Detailed Findings

In Q4 2025, landlords in Montgomery County demonstrated exceptional purchasing power, acquiring properties for an average of $114,966, a staggering 53.0% less than the $244,518 paid by traditional homeowners.

This price advantage translates to a direct discount of $129,552 per property, highlighting a significant market inefficiency that investors are capitalizing on.

The landlord discount has remained remarkably high throughout 2025, fluctuating but always substantial: it was 56.6% in Q1, 55.9% in Q2, and 30.4% in Q3, proving their ability to consistently find undervalued assets.

Acquisition prices for landlords have seen volatility, with the Q4 average of $114,966 representing a significant drop from the Q3 average of $189,483, suggesting a strategic focus on lower-priced assets in the fourth quarter.

Compared to the pandemic-era (2020-2023) average price of $132,186, the Q4 2025 price of $114,966 indicates that landlords are currently acquiring properties for less than they did during the recent housing boom.

Chart Section6 Prices
Chart Section6 Prices Alt
Chart Section6 Trends
Chart Section6 Yoy Comparison

Current Quarter Purchase Summary

Analysis of Q4 2025 purchase activity by investor tier and type

Chart Section7 Purchases
Chart Section7 Tiers
Key Insight
Landlords captured 31.5% of all SFR purchases in Q4 2025, acquiring 269 properties.
Detailed Findings

Investor activity was robust in Q4 2025, with landlords purchasing 269 of the 855 SFR properties sold, capturing a significant 31.5% of the total market.

The market continues to be fueled by new and small investors, as 113 new single-property landlords entered the market, acquiring 93 properties and representing 33.7% of all landlord acquisitions for the quarter.

Mom-and-pop landlords (1-10 properties) dominated Q4 buying activity, collectively purchasing 192 properties, which accounts for 69.6% of all investor acquisitions.

Mid-size landlords (11-1000 properties) also showed steady activity, acquiring a combined 74 properties, or 26.8% of the landlord total.

Institutional investors (1000+ properties) had a minimal impact on the acquisitions market, purchasing only 10 properties, a mere 3.6% of the landlord total, underscoring their limited role in Montgomery County's transactional landscape.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords control a commanding 79.9% of all investor-owned SFR housing in Montgomery County.
Detailed Findings

The investor landscape in Montgomery County is overwhelmingly dominated by small-scale operators, with mom-and-pop landlords (1-10 properties) owning 79.9% of all investor-held SFRs.

Single-property landlords form the bedrock of the market, holding 9,782 properties, which represents 49.5% of the entire investor-owned housing stock.

The scale of small investor dominance is clear when compared to the largest players; the entire institutional tier (1,000+ properties) holds just 352 properties, or 1.8% of the market.

Ownership concentration gradually decreases as portfolio size increases. While landlords with 1-5 properties own a combined 72.2% of the stock, those with 51-100 properties own just 3.1%.

This distribution reveals a highly fragmented market, challenging the narrative of large corporations controlling the rental housing supply and instead highlighting the central role of local, small-scale investment.

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 assume majority ownership at the 6-10 property tier, signaling a key shift from individual investment.
Detailed Findings

A distinct crossover point from individual to corporate ownership occurs in the 6-10 property tier, where companies hold a 53.3% majority for the first time.

Individual investors overwhelmingly control the entry-level tiers, accounting for 87.1% of single-property portfolios and 74.3% of two-property portfolios.

As portfolio sizes increase, company ownership becomes exponentially more dominant, escalating from 70.7% in the 11-20 property tier to a near-total 99.8% in the 101-1000 property tier.

This pattern suggests a strategic shift towards incorporation as landlords scale their operations, likely for liability protection and operational efficiency.

Despite the corporate dominance in larger tiers, individuals still maintain a presence up to the 51-100 property level, where they own 64 properties (10.5%), though they are virtually absent from the largest portfolios.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is heavily concentrated in specific zip codes, with 36109 leading at 2,652 properties.
Detailed Findings

Investor ownership in Montgomery County is not evenly distributed, showing heavy concentration in a few key zip codes. The top five zip codes by property count (36109, 36108, 36110, 36105, 36104) collectively hold a substantial portion of the county's investor-owned SFRs.

Zip code 36109 holds the most investor-owned properties with 2,652, which represents a 27.1% ownership rate for that area.

The highest saturation of investor ownership is found elsewhere, with zip code 36107 leading the county at a 48.9% investor ownership rate, meaning nearly one in every two homes is investor-owned.

Several other zip codes also exhibit high investor penetration, including 36110 (43.8%) and 36104 (42.8%), indicating these are prime targets for rental property acquisition.

This geographic analysis reveals distinct sub-markets within the county, with some neighborhoods having extremely high concentrations of rental properties, which can significantly influence local housing dynamics.

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 are strong net buyers, institutional investors are actively selling their Montgomery County assets.
Detailed Findings

A major divergence in strategy is evident between the broader landlord market and institutional investors. Overall, landlords have been consistent net buyers throughout the last two years, accumulating a net of 640 properties in 2025 and 1,017 in 2024.

In Q4 2025, landlords acquired 313 properties while selling only 194, resulting in a net gain of 119 properties and signaling continued confidence in the market.

In stark contrast, institutional investors (1000+ tier) are in a period of divestment. They were net sellers in Q4 2025, offloading a net of 4 properties, and have been net sellers for the entire year, with a total net disposition of 17 properties.

This trend of institutional selling is not new; in 2024, they were also net sellers with a net disposition of 7 properties, indicating a sustained, multi-year strategy of reducing their footprint in Montgomery County.

This split dynamic suggests that smaller, local investors are absorbing the inventory being sold by larger, national players, fundamentally reshaping the ownership landscape.

Current Quarter Transactions

Q4 2025 transaction analysis by tier, price, and inter-landlord activity

Key Insight
Landlords were involved in 27.1% of all Q4 transactions, with large investors paying 52.2% more per property.
Detailed Findings

Landlords played a crucial role in Q4 market liquidity, participating in 313 of the 1,156 total transactions, for a market share of 27.1%.

A clear price hierarchy exists based on investor size. In Q4, institutional investors (1000+ tier) paid an average of $154,423 per property, which is 52.2% more than the $101,479 paid by new single-property landlords.

The largest investors almost exclusively trade within their own network. Both the Large (101-1000) and Institutional (1000+) tiers acquired 100% of their Q4 properties from other landlords, signaling a mature, insular market for high-volume players.

Conversely, smaller investors are more likely to buy from homeowners. New single-property landlords sourced only 20.4% of their purchases from other investors, indicating they are primarily acquiring properties from the traditional market.

The highest rate of inter-landlord trading occurred in the medium-to-large tiers, with Medium-large (51-100) investors sourcing 70.0% of their deals from other landlords, suggesting this is the tier where professional networking becomes critical for acquisitions.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Mom-and-pop investors command 79.9% of Montgomery County's rental market as institutional players divest their holdings.
Holdings
Landlords own 18,938 SFR properties, 24.8% of Montgomery County's market, with individual investors holding a dominant 65.7% (12,436 properties) compared to companies at 35.2% (6,671 properties).
Pricing
In Q4 2025, landlords secured an extraordinary 53.0% discount compared to homeowners, paying an average of $114,966 versus the homeowner price of $244,518—a savings of $129,552 per property.
Activity
Investors were highly active in Q4, purchasing 31.5% of all homes sold (269 properties), with activity led by small players as 113 new single-property landlords entered the market.
Market Share
Small mom-and-pop landlords (1-10 properties) overwhelmingly control the market with a 79.9% share of investor housing, while institutional investors (1000+) hold a minimal 1.8% stake.
Ownership Type
Individual investors dominate smaller portfolios, but companies become the majority owners in the 6-10 property tier, signaling a strategic shift to corporate structures as portfolios scale.
Transactions
While the overall landlord market remains a net buyer (acquiring a net 119 properties in Q4), institutional investors are actively divesting, finishing the quarter as net sellers of 4 properties.
Market Narrative

In Montgomery County, the single-family rental market is defined by the dominance of local, small-scale investors. Landlords own 18,938 properties, comprising a substantial 24.8% of the county's total SFR housing stock. This landscape is controlled not by corporations, but by individuals, who own 65.7% of these homes. The distribution is heavily skewed towards the bottom, with mom-and-pop landlords (1-10 properties) controlling a massive 79.9% of investor inventory, while large institutional firms own a mere 1.8%.

Investor behavior in Q4 2025 highlights a sophisticated and bifurcated market. Landlords were aggressive buyers, capturing 31.5% of all sales and demonstrating an exceptional ability to secure deals, paying an average of 53.0% less than traditional homeowners. This activity was fueled by 113 new single-property landlords entering the market. However, a stark divergence exists at the top end: while the broader market was a strong net buyer, institutional investors were net sellers, continuing a multi-year trend of divesting their local assets.

The key takeaway from this data is that Montgomery County's housing market is not being reshaped by Wall Street, but by Main Street. The narrative of institutional takeover does not apply here; instead, we see a healthy, fragmented market where small investors are actively acquiring properties, often at a significant discount, and absorbing the limited inventory being sold off by larger players. This dynamic suggests a stable and decentralized rental market driven by local capital and expertise, rather than a consolidated corporate one.

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.

TierPropertiesCategory
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 GeneratedMarch 10, 2026 at 12:16 AM
Data PeriodQ4 2025
Geography LevelCounty
GeographyMontgomery (AL)
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Chart Section2 Coverage
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
Chart Section6 Prices Alt
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Chart Section6 Yoy Comparison
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
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
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
Chart Section12 Prices Detail