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

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

Market Overview

Total SFR Properties in Colbert (AL)
20,618
Total Investors in Colbert (AL)
5,323
Investor Owned SFR in Colbert (AL)
4,866(23.6%)
Individual Landlords
Landlords
4,820
SFR Owned
4,048
Corporate Landlords
Landlords
503
SFR Owned
874
Understanding Property Counts

Distinct Count Methodology: The total 4,866 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 Colbert County with 92.3% Ownership, Acquiring Properties at a 43.4% Discount
Investors own 4,866 SFR properties in Colbert County (23.6% of the market), with individual investors controlling 83.2% of that portfolio. In Q1 2026, landlords purchased properties for 43.4% less than traditional homeowners, showcasing significant market leverage. The market is overwhelmingly driven by small landlords, who control 92.3% of investor-owned housing, while institutional investors have a negligible 0.3% footprint.
Landlord Owned Current Holdings
Investors own 4,866 properties, 23.6% of the market, with individuals holding 83.2%.
The vast majority of investor-owned properties, 4,162, were acquired with cash, compared to only 704 that are financed. Individual landlords (4,820) vastly outnumber company landlords (503), reinforcing the local investor dominance in the market.
Landlord vs Traditional Homeowners
Landlords paid 43.4% less than homeowners in Q1, a staggering $112,070 discount per property.
The Q1 2026 price gap of 43.4% represents a dramatic widening from previous quarters, where the discount was as low as 0.6% in Q3 2025. Landlord acquisition prices in Q1 ($145,884) were significantly lower than their averages in 2025 ($227,086) and 2024 ($230,328), suggesting a focus on lower-priced assets.
Current Quarter Purchases
Landlords purchased 28.3% of all homes sold in Q4 2025, with small investors driving the activity.
Mom-and-pop landlords (1-10 properties) were responsible for 96.2% of all investor purchases, acquiring 25 of the 26 properties. Institutional investors with over 1,000 properties made zero purchases, highlighting their absence from the market.
Ownership by Tier
Mom-and-pop landlords control 92.3% of investor-owned SFRs, while institutions own just 0.3%.
The ownership landscape is highly concentrated at the smallest scale, with single-property landlords alone holding 66.5% of all investor-owned homes. The 17 properties owned by institutional investors represent a negligible fraction of the 4,866 total investor portfolio.
Ownership by Tier & Type
Individuals dominate small portfolios, but companies become the majority owners at the 6-10 property tier.
For single-property landlords, individuals represent 91.8% of owners. However, in the 21-50 property tier, companies own 99.2% of the homes, showing a clear shift to corporate structures for larger portfolios.
Geographic Distribution
Investor ownership is highly concentrated, with three zip codes holding 77% of all investor properties.
The zip code 35674 has the highest count of investor-owned homes at 1,381. However, 35616 has the highest penetration rate, with investors owning 34.6% of all SFRs in that area.
Historical Transactions
Landlords are aggressive net buyers, acquiring properties at a 2.7-to-1 ratio over sales in Q1 2026.
This trend of accumulation is consistent over time, with landlords maintaining a net buyer position throughout 2024 and 2025. In 2025, they purchased 310 properties while selling only 56, a buy-to-sell ratio of over 5.5 to 1.
Current Quarter Transactions
Landlords were involved in 30.2% of all Q1 2026 transactions, with new investors paying the highest prices.
Single-property investors paid an average of $147,952 per property, more than any other active tier. Smaller landlords (3-5 properties) were most likely to buy from other investors, with 50% of their purchases coming from existing landlords.

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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 4,866 properties, 23.6% of the market, with individuals holding 83.2%.
Detailed Findings

In Colbert County, landlords hold a significant 23.6% of all Single Family Residential properties, totaling 4,866 homes. This high concentration points to a mature rental market and active real estate investing community.

The ownership structure is overwhelmingly dominated by individual investors, who own 4,048 properties, or 83.2% of the investor-owned housing stock. In contrast, company-owned SFRs number 874, making up the remaining 18.0%.

A striking financial pattern is the preference for cash acquisitions. Of the 4,866 investor-owned properties, 4,162 are designated as cash-owned, while only 704 are financed. This indicates a well-capitalized investor base that is less reliant on traditional lending.

The entity count further solidifies the 'mom-and-pop' character of the market. There are 4,820 individual landlords compared to just 503 company landlords, a ratio of more than 9 to 1. This shows that the market is built on small-scale, local investment rather than large corporate ownership.

Nearly the entire investor portfolio is geared toward rental income, with 4,713 of the 4,866 properties classified as rented. This high rental penetration underscores the primary business objective of investors operating in Colbert County.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords paid 43.4% less than homeowners in Q1, a staggering $112,070 discount per property.
Detailed Findings

A massive pricing disparity emerged in the first quarter of 2026, with landlords acquiring properties at an average price of $145,884. This was a remarkable 43.4% less than the $257,954 paid by traditional homeowners, translating to a cash discount of $112,070 per home.

This significant discount marks a sharp deviation from recent trends. In Q3 2025, the price gap was almost non-existent at just 0.6% ($1,663). The sudden widening of this gap in Q1 2026 suggests landlords are targeting a different class of properties, possibly distressed or off-market opportunities not pursued by typical homebuyers.

The average acquisition price for landlords in Q1 2026 ($145,884) is a steep drop from the prices seen throughout 2025, which averaged $227,086. This decline indicates a strategic shift towards lower-cost assets, potentially to maintain yields in a changing market.

Comparing the pandemic-era (2020-2023) average price of $185,314 to the most recent quarter's $145,884 shows that landlords are currently buying properties for significantly less than they did during the boom years. This trend bucks conventional notions of consistent price appreciation.

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 28.3% of all homes sold in Q4 2025, with small investors driving the activity.
Detailed Findings

In the fourth quarter of 2025, landlords demonstrated significant market power by acquiring 26 of the 92 total SFRs sold in Colbert County, capturing a 28.3% market share of all purchases.

The purchasing activity was almost entirely driven by small-scale investors. Mom-and-pop landlords, defined as those owning 1-10 properties, accounted for 25 of the 26 investor purchases, a staggering 96.2% share of landlord activity.

First-time or single-property investors were the most active group, with 24 new entities acquiring 19 properties. This represents 73.1% of all landlord purchases, signaling a healthy influx of new participants into the local rental market.

In stark contrast, institutional investors (1,000+ properties) had no purchasing activity in Q4, acquiring zero properties. This reinforces the narrative that Colbert County's investor landscape is dominated by local, small-scale operators, not large corporations.

Mid-size landlords made minimal impact, with only one property purchased by an investor in the 11-20 property tier. The data clearly shows that the market's velocity is dictated by the smallest players.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords control 92.3% of investor-owned SFRs, while institutions own just 0.3%.
Detailed Findings

The distribution of investor ownership in Colbert County is heavily skewed towards small landlords. Mom-and-pop investors (owning 1-10 properties) collectively control 92.3% of all investor-owned SFRs, making them the undisputed backbone of the rental market.

Single-property landlords (Tier 01) represent the largest single segment, owning 3,364 properties. This accounts for 66.5% of the entire investor portfolio, highlighting the market's reliance on first-time and small-scale participants.

Conversely, institutional investors with portfolios of over 1,000 properties have a minimal presence. Their holdings of just 17 properties constitute only 0.3% of the investor-owned market, challenging the narrative of a corporate takeover of residential housing in the area.

The mid-size landlord tiers (11-1,000 properties) also hold a relatively small portion of the market, collectively owning 375 properties or 7.7% of the total. This further emphasizes the concentration of ownership at the lower end of the portfolio-size spectrum.

This ownership structure, detailed in the underlying property datasets, suggests a highly fragmented and localized rental market, which can present unique opportunities and challenges compared to markets with heavy institutional penetration.

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

A clear pattern emerges when analyzing ownership by entity type across portfolio sizes. Individual investors overwhelmingly control smaller portfolios, owning 91.8% of properties in the single-property tier and 86.3% in the two-property tier.

The crossover point where corporate ownership becomes dominant occurs in the 6-10 property tier. In this segment, companies own 144 properties, or 55.6% of the total, signaling the tier at which investors typically formalize their operations under a corporate structure.

This trend accelerates dramatically in larger tiers. For investors holding 21-50 properties, companies own 122 of the 123 homes, a near-total 99.2% concentration. This indicates that scaling a rental portfolio in Colbert County is almost exclusively done through corporate entities.

Even in the 11-20 property tier, the split is nearly even, with individuals owning 121 properties (54.0%) and companies owning 103 (46.0%). This tier appears to be the transition zone where investors decide whether to incorporate as they grow.

This data reveals a distinct lifecycle for real estate investors in the region: they often start as individuals and incorporate as their portfolio and complexity grow, typically once they surpass five properties.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor ownership is highly concentrated, with three zip codes holding 77% of all investor properties.
Detailed Findings

Investor activity in Colbert County is not evenly distributed; it is intensely focused on a few key areas. The top three zip codes by property count, 35674 (1,381 properties), 35661 (1,310 properties), and 35660 (1,047 properties), collectively account for 3,738 homes, or 76.8% of the entire investor-owned portfolio.

While 35674 leads in sheer volume, the zip code 35616 exhibits the highest concentration of investor ownership. In this area, landlords own 34.6% of the SFR housing stock, a rate significantly above the county-wide average of 23.6%.

The top five regions by investor ownership percentage all show rates above 23%, with 35616 (34.6%), 35646 (30.6%), and 35660 (30.5%) all having nearly one-third of their housing stock owned by investors. This points to specific neighborhoods being prime targets for rental investment.

This geographic clustering suggests that investors are targeting specific community characteristics, such as school districts, employment centers, or housing affordability. The patterns revealed by assessor data at a sub-county level are critical for understanding market dynamics.

There is a notable overlap between the highest-count and highest-percentage zip codes. For instance, 35660 and 35616 appear in the top five on both lists, indicating these are the epicenters of investment activity in Colbert County.

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 are aggressive net buyers, acquiring properties at a 2.7-to-1 ratio over sales in Q1 2026.
Detailed Findings

Transactional data shows that landlords in Colbert County are in a strong accumulation phase. In the first quarter of 2026, they purchased 32 properties while selling only 12, establishing a clear net buyer position with a buy-to-sell ratio of 2.7 to 1.

This behavior is not a recent development but a consistent, long-term trend. Throughout 2025, investors acquired 310 SFRs and sold just 56, resulting in a net gain of 254 properties for their portfolios. This represents an aggressive 5.5x buy-to-sell ratio for the year.

The pattern was similar in 2024, when landlords bought 336 homes and sold 86, for a net increase of 250 properties. The sustained net buying activity across multiple years signals strong confidence in the local rental market's future performance.

The data on institutional transactions (1,000+ tier) was not available, but the overall market trend is unambiguously pointed towards portfolio growth. The high volume of acquisitions relative to dispositions indicates a liquid and active market where investors are successfully deploying capital.

Investors can track these market-level trends using tools like market reports to inform their own buying and selling strategies, identifying periods of market expansion or contraction.

Current Quarter Transactions

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

Key Insight
Landlords were involved in 30.2% of all Q1 2026 transactions, with new investors paying the highest prices.
Detailed Findings

In the first quarter of 2026, landlords played a role in 32 of the 106 total SFR transactions in Colbert County, accounting for a 30.2% share of all market activity.

Interestingly, the newest investors paid the highest prices. The single-property tier had the highest average purchase price at $147,952 across 24 transactions. This suggests new entrants may be less experienced in sourcing discounts or are targeting more turn-key, higher-quality properties.

In contrast, more established small landlords (3-5 properties) acquired homes for a significantly lower average price of $102,500. This price discipline may be a key factor in their ability to scale their portfolios.

Inter-landlord trading activity reveals different sourcing strategies. Small landlords (3-5 properties) sourced 50% of their new acquisitions from other landlords, indicating they are actively trading within the investor community. Meanwhile, single-property investors sourced only 8.3% of their homes from other landlords, suggesting they primarily buy from traditional homeowners.

The data shows a market where transaction volume is dominated by mom-and-pop investors (31 of 32 landlord transactions), with institutional investors making no moves in the quarter.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Mom-and-Pop investors control 92.3% of Colbert County's rental market and acquire properties at a 43.4% discount.
Holdings
Landlords own 4,866 SFR properties, representing 23.6% of Colbert County's market. Individual investors dominate, holding 4,048 of these properties (83.2%) compared to 874 (18.0%) owned by companies.
Pricing
In Q1 2026, landlords paid an average of $145,884, which is 43.4% less than the $257,954 paid by traditional homeowners, reflecting a $112,070 discount per property.
Activity
Landlords accounted for 28.3% of all SFR purchases in Q4 2025, an effort led by small investors. During the quarter, 24 new single-property landlords entered the market.
Market Share
Small 'mom-and-pop' landlords (1-10 properties) overwhelmingly control the market with 92.3% of all investor-owned housing. In contrast, institutional investors (1,000+ properties) own a negligible 0.3%.
Ownership Type
Individual investors dominate smaller portfolios, but companies become the majority owners in portfolios of 6-10 properties and represent 99.2% of ownership in the 21-50 property tier.
Transactions
Landlords are strong net buyers with a 2.7x buy/sell ratio in Q1 2026 (32 buys vs 12 sells), consistently expanding their portfolios. No institutional transaction data was available for comparison.
Market Narrative

The investor landscape in Colbert County, Alabama, is defined by the overwhelming dominance of local, small-scale operators. According to the latest Investor Pulse reports, landlords own 4,866 Single-Family Residential properties, a significant 23.6% of the total market. This portfolio is firmly in the hands of 'mom-and-pop' investors (1-10 properties), who control 92.3% of all investor-owned homes, while large institutional firms have a nearly non-existent footprint at just 0.3%. The market is further characterized by individual ownership, with 83.2% of investor properties held by individuals rather than companies.

Investor activity reveals a savvy and aggressive approach to acquisition. In the most recent quarter, landlords captured 28.3% of all home purchases and demonstrated a remarkable ability to secure properties at a discount. They paid an average price 43.4% below that of traditional homeowners, a gap of $112,070 per property. Transaction data shows a consistent pattern of accumulation, with investors acting as strong net buyers, purchasing 2.7 properties for every one they sold in Q1 2026. This activity is fueled by new entrants, with 24 new single-property landlords joining the market in the last quarter of 2025.

The key takeaway for Colbert County is that its rental market is a model of decentralized, local investment. The narrative of a corporate takeover of housing does not apply here. Instead, the market's health and growth are driven by a large base of individual investors and small family businesses that are deeply embedded in the community. Their ability to consistently find and acquire properties at a significant discount while expanding their portfolios signals a robust and sophisticated local real estate investor ecosystem that continues to thrive and grow.

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 06:54 PM
Data Period Q1 2026
Geography Level County
Geography Colbert (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 Section11 Institutional
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Chart Section11 Institutional Price
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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.

You MAY NOT: Use this data commercially, resell or redistribute it as your own, or publish modified versions.

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How to cite this report

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