Cotton (OK) Investor Pulse Report (2026-Q1)

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

Market Overview

Total SFR Properties in Cotton (OK)
1,711
Total Investors in Cotton (OK)
556
Investor Owned SFR in Cotton (OK)
503(29.4%)
Individual Landlords
Landlords
523
SFR Owned
460
Corporate Landlords
Landlords
33
SFR Owned
47
Understanding Property Counts

Distinct Count Methodology: The total 503 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 Cotton County, Owning 98% of Rentals and Buying at a 79% Discount
Investors own 29.4% of SFRs in Cotton County (503 properties), with mom-and-pop landlords controlling a near-total 98.1%. In Q1 2026, these landlords were active net buyers, acquiring 31.2% of all homes sold at a remarkable 79.0% discount compared to traditional homeowners.
Landlord Owned Current Holdings
Investors own 503 SFR properties in Cotton County, with individuals controlling a dominant 91.5% share.
Investors hold a significant portion of their portfolio in cash, with 420 cash-owned properties versus just 83 financed. The portfolio is highly rental-focused, as 98.0% of properties (493 of 503) are non-owner-occupied.
Landlord vs Traditional Homeowners
Landlords in Cotton County paid 79.0% less than homeowners in Q1, an average discount of $170,710 per property.
The price gap between landlords and homeowners has widened dramatically from 28.4% in Q2 2025 to 79.0% in Q1 2026. Landlord acquisition prices of $45,480 suggest a focus on lower-cost or distressed properties.
Current Quarter Purchases
Landlords acquired 31.2% of all SFR properties sold in Q1, purchasing 5 of the 16 homes on the market.
All Q1 landlord activity came from mom-and-pop investors, with 100% of purchases made by new, single-property landlords. There were zero purchases from institutional investors.
Ownership by Tier
Mom-and-pop investors control a staggering 98.1% of investor-owned SFRs in Cotton County.
Single-property landlords alone account for 78.2% of the entire investor portfolio, totaling 406 properties. Institutional investors (1,000+ properties) have zero presence in this market.
Ownership by Tier & Type
Individual investors dominate small portfolios, but companies take majority control at the 21-50 property tier.
Individuals own 95.6% of single-property landlord holdings and 83.3% of two-property portfolios. The 21-50 property tier is the only one where companies are the majority owner, holding 71.4% of properties.
Geographic Distribution
Investor activity is concentrated in zip codes 73572 and 73568, which feature high property counts and ownership rates.
Zip code 73533 has the highest investor penetration, with 50.0% of all SFRs being landlord-owned. Zip code 73572 holds the largest number of investor properties at 348.
Historical Transactions
Landlords in Cotton County are consistent net buyers, purchasing 5 properties for every 1 sold in Q1 2026.
This net buying trend is consistent, with a buy-to-sell ratio of 8.0 in 2025 (16 buys vs 2 sells) and 2.25 in 2024 (9 buys vs 4 sells). There is no recorded transaction activity for institutional investors.
Current Quarter Transactions
Landlords were involved in 29.4% of all SFR transactions in Q1, accounting for 5 of the 17 total purchases.
All Q1 landlord transactions were conducted by new or single-property investors, who paid an average of $45,480. Just 20% of these purchases were from other landlords, while the majority were acquired from homeowners.

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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 503 SFR properties in Cotton County, with individuals controlling a dominant 91.5% share.
Detailed Findings

In Cotton County, investors own 503 single-family residential properties, which constitutes a significant 29.4% of the total 1,711 SFRs in the market. This high penetration rate highlights the importance of real estate investing in the local housing economy.

The ownership structure is overwhelmingly dominated by individual investors, who hold 460 properties, or 91.5% of the total investor portfolio. In contrast, company-owned properties number just 47, representing a 9.3% share.

Landlord portfolios in the area are heavily reliant on cash purchases. A total of 420 properties are owned outright without financing, compared to only 83 that carry a mortgage. This 5-to-1 cash-to-financed ratio suggests a market of investors with high liquidity who are less dependent on lending conditions.

The investor portfolio is almost entirely dedicated to rentals, with 493 of the 503 properties classified as non-owner-occupied. This 98.0% rental rate demonstrates a clear focus on generating income rather than speculation or secondary home ownership.

When looking at the entities themselves, there are 556 distinct landlords in the county. The split mirrors property ownership, with 523 individual landlords and 33 company landlords, reinforcing the 'mom-and-pop' character of the local market.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords in Cotton County paid 79.0% less than homeowners in Q1, an average discount of $170,710 per property.
Detailed Findings

A massive pricing disparity defines the Cotton County market, where landlords acquired properties in Q1 2026 for an average of just $45,480. This is 79.0% less than the $216,190 paid by traditional homeowners, representing a staggering $170,710 discount per transaction.

This price gap is not only large but also expanding rapidly. The landlord discount grew from 28.4% ($47,708) in Q2 2025 and 56.8% ($68,772) in Q3 2025 to its current 79.0% level, indicating that investors are increasingly targeting a different segment of the market than homeowners.

The exceptionally low average acquisition price for landlords suggests a strategic focus on acquiring distressed, lower-value, or off-market properties that require significant renovation, a common strategy for maximizing rental returns.

While recent price points are low, historical data shows higher average acquisition prices during the 2020-2023 period ($70,452), suggesting the current strategy may be a recent shift in response to market conditions or available inventory.

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 31.2% of all SFR properties sold in Q1, purchasing 5 of the 16 homes on the market.
Detailed Findings

Investors represented a powerful force in the Q1 2026 market, purchasing 5 of the 16 total SFRs sold, capturing a 31.2% market share. This level of activity underscores their significant influence on local sales volume.

The entirety of this purchasing activity was driven by the smallest investor segment. All 5 properties were acquired by 'mom-and-pop' landlords, specifically those in the single-property tier, indicating the entry of 5 new landlords into the market.

Mid-size and institutional investors were completely absent from the acquisitions market this quarter. The 100% concentration of buying activity within the single-property tier highlights a grassroots-level interest in Cotton County's rental market.

This pattern of new entrants driving the market suggests that the barrier to entry is perceived as low and the potential for returns is attractive to first-time investors.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop investors control a staggering 98.1% of investor-owned SFRs in Cotton County.
Detailed Findings

The investor landscape in Cotton County is the definitive example of a mom-and-pop market. Landlords owning 1-10 properties control a near-monopoly share of 98.1% of all investor-owned housing.

The concentration is most pronounced at the very bottom of the scale, with single-property landlords alone holding 406 properties. This represents 78.2% of the entire investor-owned portfolio, making first-time and small-scale investors the foundation of the local rental market.

The next largest tiers are two-property owners (9.2%) and those with 3-5 properties (7.5%), further cementing the dominance of small-scale operators.

In stark contrast to national headlines, institutional investors with portfolios exceeding 1,000 properties have absolutely no presence in Cotton County, owning 0.0% of the market.

This extreme ownership concentration indicates a market likely characterized by personal management and direct landlord-tenant relationships rather than corporate operations.

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
Individual investors dominate small portfolios, but companies take majority control at the 21-50 property tier.
Detailed Findings

A clear pattern emerges when segmenting ownership by owner type and portfolio size. Individual investors are the primary force in smaller tiers, owning 390 of the 406 single-property portfolios (95.6%) and 40 of the 48 two-property portfolios (83.3%).

While individuals maintain a strong presence across most tiers, a crossover point occurs for mid-size portfolios. In the 21-50 property tier, companies become the majority owners, holding 5 of the 7 properties (71.4%).

This suggests that while individuals are comfortable starting and growing small portfolios, scaling beyond 20 properties in this market is more commonly pursued under a corporate structure, likely for liability and operational efficiency.

Even in the 3-5 property tier, company ownership becomes more significant, reaching a 33.3% share. This indicates that formalizing as a business entity is a strategy adopted relatively early in an investor's growth journey in this market.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is concentrated in zip codes 73572 and 73568, which feature high property counts and ownership rates.
Detailed Findings

Geographic analysis reveals that investor ownership in Cotton County is highly concentrated. The zip code 73572 is the epicenter of activity, containing 348 investor-owned properties, which amounts to a 29.6% ownership rate.

Following closely in concentration is zip code 73568, with 114 investor properties and an even higher ownership rate of 30.6%. Together, these two areas represent the core of the county's rental market.

The highest rate of investor penetration is found in the smaller zip code of 73533, where landlords own 50.0% of the single-family homes. This indicates a market where half of the housing stock is composed of rental properties.

In contrast, areas like 73528 and 73529 show no recorded investor-owned properties, highlighting a sharp divide in investor interest across the county.

This focused activity suggests investors are targeting specific neighborhoods, likely those with favorable property values, rental demand, and community characteristics.

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 in Cotton County are consistent net buyers, purchasing 5 properties for every 1 sold in Q1 2026.
Detailed Findings

Transaction data reveals a clear and sustained trend of accumulation among Cotton County landlords. In Q1 2026, investors were strong net buyers, acquiring 5 properties while selling only 1.

This pattern of growth is not new. In 2025, landlords demonstrated an even more aggressive acquisition strategy, with 16 purchases against just 2 sales, an 8-to-1 buy/sell ratio. The trend held in 2024 as well, with 9 buys versus 4 sells.

The persistent net-buyer status across multiple years signals strong long-term confidence in the local rental market's stability and profitability.

Institutional investors logged no buy or sell transactions in any of the observed periods, confirming their lack of activity in the county's transactional market.

This ongoing accumulation by smaller investors is steadily increasing their market share and solidifying their role as the primary providers of rental housing in the county.

Current Quarter Transactions

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

Key Insight
Landlords were involved in 29.4% of all SFR transactions in Q1, accounting for 5 of the 17 total purchases.
Detailed Findings

In Q1 2026, landlords played a crucial role in market liquidity, participating in 29.4% of all transactions with 5 purchases out of a total of 17. This substantial share demonstrates their importance to the local real estate ecosystem.

Once again, activity was exclusively driven by the smallest investors. All 5 transactions were made by landlords in the single-property tier, who paid an average price of $45,480.

The data on transaction sources provides insight into market dynamics. Only 1 of the 5 purchases (20.0%) was from another landlord, suggesting that investors are primarily acquiring properties from the traditional homeowner market rather than trading assets among themselves.

There was no transactional activity from mid-size or large investors, reinforcing the theme that market dynamism in Cotton County is entirely a function of small-scale, mom-and-pop operations.

This activity from new entrants, coupled with low inter-landlord trading, points to an expanding investor base rather than a market of consolidating existing players.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Mom-and-Pop Investors Dominate Cotton County, Owning 98% of Rentals and Buying at a 79% Discount
Holdings
In Cotton County, landlords own 503 SFR properties, representing 29.4% of the total market. Individual investors overwhelmingly dominate, holding 460 properties (91.5%) compared to just 47 (9.3%) owned by companies.
Pricing
Landlords in Q1 2026 acquired properties at a staggering 79.0% discount compared to traditional homeowners, paying an average of $45,480 while homeowners paid $216,190.
Activity
Investor activity accounted for 31.2% of all Q1 purchases, with all 5 transactions driven by new or single-property landlords. This indicates the entry of 5 new investors into the market.
Market Share
The investor market is controlled by small landlords (1-10 properties), who own 98.1% of all investor-held housing. Institutional investors (1,000+ properties) have no ownership stake in the county.
Ownership Type
Individual investors form the backbone of the market, but companies become the majority owner in the 21-50 property portfolio tier, signaling a shift in strategy for larger-scale operations.
Transactions
Landlords are strong net buyers with a 5-to-1 buy/sell ratio in Q1 2026 (5 buys vs 1 sell), consistently accumulating properties. Institutional investors recorded no transaction activity.
Market Narrative

The real estate investor market in Cotton County, Oklahoma, is a definitive stronghold of small, individual operators. Landlords own 503 single-family properties, a significant 29.4% of the county's total housing stock. This portfolio is overwhelmingly controlled by mom-and-pop investors (1-10 properties), who hold 98.1% of all rental homes. Individual investors own 91.5% of these properties, while institutional firms have zero presence, painting a picture of a market driven by local entrepreneurs, not corporations. This granular ownership structure is detailed in our property ownership by owner type report.

Investor behavior in Q1 2026 was characterized by strategic, value-driven acquisitions. Landlords were active net buyers, securing 31.2% of all homes sold in the quarter with a 5-to-1 buy-to-sell ratio. Their purchasing strategy is starkly different from that of traditional homebuyers. Investors paid an average of just $45,480, a remarkable 79.0% discount compared to the $216,190 paid by homeowners. This suggests a focus on distressed or undervalued assets. All purchasing activity came from new, single-property landlords, signaling fresh capital and growing interest at the grassroots level.

The key takeaway from this Investor Pulse report is that Cotton County's housing market is fundamentally shaped by a large base of small-scale landlords who are actively growing their portfolios. Their ability to acquire properties at a deep discount allows them to provide rental housing at different price points than the homeownership market. With no institutional competition and a steady influx of new mom-and-pop investors, the local market dynamics are likely to remain stable and independent of broader, corporate-driven real estate trends.

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 01:04 AM
Data Period Q1 2026
Geography Level County
Geography Cotton (OK)
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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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How to cite this report

BatchData. (2026). Q1 2026 Cotton (OK) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-ok-cotton/. Licensed under CC BY-NC-ND 4.0.