Concho (TX) Investor Pulse Report (2026-Q1)

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

Market Overview

Total SFR Properties in Concho (TX)
584
Total Investors in Concho (TX)
237
Investor Owned SFR in Concho (TX)
210(36.0%)
Individual Landlords
Landlords
215
SFR Owned
190
Corporate Landlords
Landlords
22
SFR Owned
23
Understanding Property Counts

Distinct Count Methodology: The total 210 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

Concho County's investor market is 100% controlled by small landlords who own 36% of all homes.
In Concho County, investors own 210 SFR properties (36.0% of the market), with mom-and-pop landlords controlling 100% of this portfolio. In Q1, landlords purchased 50.0% of all homes sold, securing them at a 17.3% discount compared to traditional homeowners. The market is defined by cash transactions and inter-landlord trades, with zero institutional presence.
Landlord Owned Current Holdings
Investors own 210 SFRs, 36.0% of the market, with individuals holding 90.5% of the portfolio.
The portfolio is almost entirely owned free and clear, with 209 properties held as cash purchases versus only 1 being financed. Of the 210 properties, 208 are confirmed rented, demonstrating a strong focus on rental income generation.
Landlord vs Traditional Homeowners
Landlords paid 17.3% less than homeowners in Q1, an average discount of $28,271 per property.
The average landlord acquisition price in Q1 was $135,360, significantly below the $163,631 paid by traditional homeowners. No landlord purchase activity was recorded for the full year 2025, making quarter-over-quarter trend analysis impossible.
Current Quarter Purchases
Landlords captured half of the market in Q1, making 50.0% of all SFR purchases.
All landlord acquisitions (100.0%) were made by mom-and-pop investors, specifically new entrants buying their very first rental property. Institutional investors made zero purchases.
Ownership by Tier
Mom-and-pop landlords completely dominate the market, controlling 100.0% of investor-owned SFRs.
Single-property landlords form the bedrock of the market, owning 172 properties, which is 80.4% of the entire investor portfolio. There is zero ownership by institutional investors (1,000+ properties).
Ownership by Tier & Type
Individual investors overwhelmingly own the market, holding over 88% of properties in every active tier.
In the single-property tier, individuals own 155 homes versus just 20 for companies. For portfolios of 3-5 properties, individual ownership is 100%, with zero company involvement.
Geographic Distribution
Nearly all investor activity is in two zip codes: 76837 with 170 properties and 76866 with 34.
Investor ownership rates in these core areas are exceptionally high, reaching 36.3% in 76837 and 36.6% in 76866. This shows highly targeted investment within the county.
Historical Transactions
Landlords are net buyers and heavily trade with each other, with 66.7% of Q1 buys sourced from other investors.
In Q1 2026, landlords demonstrated a positive market position by acquiring 3 properties while only selling 2. No data is available for institutional transactions, as there is no institutional presence in the county.
Current Quarter Transactions
Landlords drove 60.0% of all market transactions in Q1, with every purchase made by new investors.
All landlord transactions were by single-property investors, who paid an average of $135,360. A high percentage of these purchases (66.7%) were sourced directly from other 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 210 SFRs, 36.0% of the market, with individuals holding 90.5% of the portfolio.
Detailed Findings

Investor ownership in Concho County is substantial, with 210 single-family residences representing 36.0% of the total 584 SFRs in the market. This high penetration rate indicates a significant rental presence within the community.

The market is overwhelmingly dominated by individual real estate investing, who own 190 properties, or 90.5% of the investor-owned portfolio. Company ownership is minimal, accounting for just 23 properties (11.0%), highlighting a landscape of local, small-scale landlords rather than corporate entities.

A defining characteristic of this market is the near-total absence of financing. A staggering 209 of 210 investor-owned properties are held as cash assets, with only a single property carrying a mortgage. This points to a fiscally conservative investor base that operates without leverage.

The portfolio's purpose is clear: 208 of the 210 properties are rented, confirming that virtually the entire investor-owned stock serves as rental housing for the county. This reinforces the importance of landlords in providing local housing supply.

The entity count further solidifies the 'mom-and-pop' narrative. There are 215 individual landlords compared to just 22 company landlords, meaning individuals represent 90.7% of all investor entities in the county.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords paid 17.3% less than homeowners in Q1, an average discount of $28,271 per property.
Detailed Findings

Investors in Concho County demonstrated significant purchasing power in the first quarter, acquiring properties at a steep 17.3% discount compared to traditional homeowners. This translated to an average cash savings of $28,271 per property.

The average acquisition price for a landlord in Q1 was $135,360, a stark contrast to the $163,631 paid by homeowners. This price gap suggests that investors are successfully targeting undervalued or off-market properties that are not attracting typical retail buyers.

The market shows signs of being sporadic and having low transaction volume. Data indicates zero properties were purchased by landlords throughout the entirety of 2025, with activity only resuming in Q1 2026. This highlights a patient, opportunistic approach by local investors.

The significant discount may be attributed to several factors common in smaller markets, including a higher likelihood of cash offers, faster closing times, and a greater ability to purchase properties in as-is condition, which often deters traditional buyers.

Chart Section6 Prices
Chart Section6 Prices Alt
Chart Section6 Trends

Current Quarter Purchase Summary

Analysis of Q1 2026 purchase activity by investor tier and type

Chart Section7 Purchases
Chart Section7 Tiers
Key Insight
Landlords captured half of the market in Q1, making 50.0% of all SFR purchases.
Detailed Findings

Despite low overall transaction volume, landlords played a dominant role in Concho County's Q1 market, purchasing 2 of the 4 total SFRs sold, a market share of 50.0%.

The entirety of this investor activity came from the smallest players. Mom-and-pop landlords (Tiers 01-04) accounted for 100.0% of purchases, with institutional investors (Tier 09) showing no activity at all.

Market growth is driven by new entrants. All 2 properties were purchased by investors in the 'Single-property' tier, indicating that new landlords are the sole source of acquisition activity.

Interestingly, 3 distinct entities purchased these 2 properties, suggesting a co-ownership arrangement for at least one of the acquisitions. This highlights how new investors may be pooling resources to enter the market.

The data confirms a hyper-localized market structure where the only active buyers are individuals or small groups starting their investment journey, a sharp contrast to institutionally-driven urban markets.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords completely dominate the market, controlling 100.0% of investor-owned SFRs.
Detailed Findings

The investor landscape in Concho County is exclusively composed of small-scale operators. Mom-and-pop landlords, defined as those owning 1-10 properties, control 100.0% of the investor-owned housing stock.

The concentration at the smallest end of the spectrum is profound. Single-property landlords (Tier 01) alone account for 172 properties, representing 80.4% of all investor holdings. This signifies that the typical landlord is a local individual with one rental home.

The next largest tiers are also small, with two-property landlords holding 26 properties (12.1%) and those with 3-5 properties holding 16 (7.5%). There are no mid-size or large investors operating in the county.

There is a complete absence of institutional capital. The 1,000+ property tier holds zero properties, underscoring the county's status as a market untouched by large corporate landlords.

This ownership structure suggests a highly fragmented market where relationships and local knowledge likely play a larger role than sophisticated financial modeling or large-scale operational efficiency.

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 overwhelmingly own the market, holding over 88% of properties in every active tier.
Detailed Findings

Individual investors are the definitive force in Concho County across every portfolio size. There is no tier where companies hold a majority share; in fact, their presence is minimal throughout.

In the largest and most active tier (single-property), individuals own 155 properties (88.6%), while companies own only 20 (11.4%). This 8-to-1 ratio highlights the personal nature of real estate investment in the area.

The trend of individual dominance continues up the portfolio ladder. For two-property landlords, individuals own 23 homes (88.5%) compared to just 3 for companies (11.5%).

In what constitutes the largest portfolios in the county (3-5 properties), company ownership disappears entirely. All 16 properties in this tier are owned by individuals, marking a 100.0% individual ownership rate.

The data clearly shows that as portfolio sizes increase in Concho County, the likelihood of company ownership decreases, the opposite of the trend seen in larger metropolitan markets. There is no 'crossover point' where corporate ownership becomes prevalent.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Nearly all investor activity is in two zip codes: 76837 with 170 properties and 76866 with 34.
Detailed Findings

Investor ownership in Concho County is not evenly distributed but is instead highly concentrated in specific geographic pockets. The vast majority of activity occurs within the 76837 and 76866 zip codes.

The zip code 76837 is the epicenter of investment, containing 170 of the 210 total investor-owned properties in the county. This single area accounts for over 80% of the entire investor portfolio.

While smaller in count, the 76866 zip code shows an equally intense, if not higher, level of investor penetration. Landlords own 34 properties there, representing 36.6% of the area's SFR housing stock.

The investor ownership rates in both key zip codes are significant, with 76837 at 36.3% and 76866 at 36.6%. These figures indicate that more than one in every three single-family homes in these communities is a rental property.

The remaining zip codes in the county have negligible investor activity, with 76862 showing only 6 investor-owned properties. This pattern suggests investors are targeting very specific local market dynamics found only in 76837 and 76866.

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
Key Insight
Landlords are net buyers and heavily trade with each other, with 66.7% of Q1 buys sourced from other investors.
Detailed Findings

Transactional data from Q1 2026 shows that landlords in Concho County are in an accumulation phase, positioning themselves as net buyers. They collectively purchased 3 properties while selling only 2, resulting in a net gain of 1 property to the overall investor portfolio.

A critical finding is the prevalence of inter-landlord transactions. Two-thirds (66.7%) of all properties purchased by investors in Q1 were acquired from other landlords. This points to a closed-loop ecosystem where rental properties frequently trade hands between investors rather than being sold to homeowners.

This high rate of landlord-to-landlord sales suggests a mature or constrained market where the primary source of new inventory for one investor is the divestment by another. It also indicates a shared understanding of asset value among local players.

Consistent with all other findings for the county, there was no transactional activity from institutional investors. The market's liquidity is entirely driven by the buying and selling decisions of small, local landlords.

Current Quarter Transactions

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

Key Insight
Landlords drove 60.0% of all market transactions in Q1, with every purchase made by new investors.
Detailed Findings

Investor activity was a major component of the Concho County real estate market in Q1, with landlords participating in 3 of the 5 total transactions, for a 60.0% share of all activity.

The transaction volume was exclusively driven by the smallest investor tier. Single-property landlords accounted for all 3 landlord transactions, reaffirming that new and aspiring investors are the only active cohort.

The average purchase price for these small landlords was $135,360. With no other active tiers, it is impossible to compare pricing strategies, but this price point was significantly below what traditional homeowners paid in the same period.

The market exhibits a strong pattern of internal trading. Of the 3 properties purchased by landlords, 2 were bought from other landlords. This 66.7% rate indicates that existing rental stock is the primary target for acquiring new assets.

This transactional behavior suggests that aspiring landlords are finding it more efficient or valuable to purchase turn-key rental properties from existing investors than to compete for properties on the open market from traditional homeowners.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Small local investors dominate Concho County, owning 36% of all SFRs and controlling 100% of the rental market with no institutional presence.
Holdings
Landlords own 210 SFR properties, representing a significant 36.0% of the Concho County market. The portfolio is overwhelmingly held by individuals, who own 190 properties (90.5%), compared to just 23 properties (11.0%) owned by companies.
Pricing
In Q1, landlords acquired properties at an average price of $135,360, a substantial 17.3% discount compared to the $163,631 paid by traditional homeowners, saving an average of $28,271 per home.
Activity
Landlords drove half of the market's sales activity in Q1, purchasing 50.0% of all properties sold. This activity was fueled entirely by new entrants, with 3 new single-property landlord entities joining the market.
Market Share
The investor market is 100.0% controlled by small, mom-and-pop landlords (1-10 properties). Institutional investors (1,000+ properties) have zero presence, making this a purely local market.
Ownership Type
Individual investors are the primary owners across all portfolio sizes, holding 90.5% of all investor-owned properties. There is no crossover point; companies remain a small minority even in the largest active tiers.
Transactions
Landlords were net buyers in Q1, acquiring 3 properties while selling 2. A significant 66.7% of their purchases were sourced from other landlords, highlighting a market where rental assets primarily trade between investors.
Market Narrative

In Concho County, Texas, the real estate investment landscape is defined by local, small-scale operators who exert a powerful influence on the market. Investors own 210 single-family properties, a remarkable 36.0% of the entire county's SFR housing stock. This portfolio is firmly in the hands of mom-and-pop landlords, who control 100% of these assets. Individual investors, rather than corporations, dominate the scene, owning 190 properties (90.5%) and representing 215 of the 237 total landlord entities. Institutional capital is completely absent, painting a picture of a community-based rental market.

Investor behavior is characterized by strategic, value-oriented acquisitions. In the first quarter, landlords were involved in 60.0% of all market transactions and captured 50.0% of all homes sold. They did so at a significant 17.3% discount compared to traditional homeowners, paying an average of $135,360. The market is fueled by new entrants, with all Q1 purchases made by first-time investors. Furthermore, landlords are currently net buyers and exhibit a strong tendency to trade assets among themselves, with two-thirds of their acquisitions coming from other investors.

The key takeaway from Concho County is the existence of a robust, self-contained, and hyper-local investment ecosystem. The high ownership rate, dominance of individual cash buyers, and prevalence of inter-landlord trading reveal a market that operates independently of broader, institutionally-driven trends. For local housing, this means a large and stable supply of rental properties managed not by remote corporations, but by community members. This structure suggests market stability but also potential barriers to entry for those without local connections or access to off-market deals.

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 03:20 AM
Data Period Q1 2026
Geography Level County
Geography Concho (TX)
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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 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 Section12 Transactions
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Chart Section12 Prices
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Chart Section12 Prices Detail
Chart Section12 Prices Detail

Licensing & Usage Rights

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You MAY: Download, share, or excerpt this content for personal or non-commercial purposes, provided you give clear attribution to BatchData with a link back to this original page.

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How to cite this report

BatchData. (2026). Q1 2026 Concho (TX) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-tx-concho/. Licensed under CC BY-NC-ND 4.0.