Fisher (TX) Investor Pulse Report (2025-Q4)

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

Market Overview

Total SFR Properties in Fisher (TX)
966
Total Investors in Fisher (TX)
280
Investor Owned SFR in Fisher (TX)
303(31.4%)
Individual Landlords
Landlords
267
SFR Owned
294
Corporate Landlords
Landlords
13
SFR Owned
12
Understanding Property Counts

Distinct Count Methodology: The total 303 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

Fisher County: Mom-and-Pop Landlords Dominate Amidst Q4 Transaction Freeze
Fisher County's landlord market is overwhelmingly driven by individuals, owning 97.0% of the 303 investor-owned SFR properties, which constitute 31.4% of the county's total SFR. While landlords secured significant discounts (66.8% less than homeowners in Q3), Q4 saw a complete halt in all investor purchase and transaction activity. Landlords overall remain strong net buyers historically, but institutional presence is entirely absent.
Landlord Owned Current Holdings
Individual landlords overwhelmingly dominate Fisher County's 303 investor-owned SFR properties (97.0%).
A vast 96.0% of these properties are rented, demonstrating a strong rental market focus. Over 92.7% of landlord-owned properties are held outright with cash, indicating financial stability.
Landlord vs Traditional Homeowners
Landlords secured significant discounts, paying 66.8% less than homeowners in 2025-Q3, averaging $27,500.
This substantial discount actually widened from 62.0% in Q2 ($74,242 difference) to 66.8% in Q3 ($55,300 difference), indicating landlords achieved even greater relative savings. Current quarter (Q4) landlord acquisition pricing data is unavailable.
Current Quarter Purchases
Zero landlord purchases occurred in Fisher County during 2025-Q4, indicating market inactivity.
No mom-and-pop or institutional investors made purchases, reflecting a complete halt in investor acquisition activity for the quarter. Landlords accounted for 0.0% of the total SFR purchases.
Ownership by Tier
Mom-and-pop landlords profoundly dominate Fisher County's investor-owned SFR market with 99.7% ownership.
Single-property landlords (Tier 01) alone control 67.9% of the market (209 properties), while institutional investors (Tier 09) have no presence (0.0%). The distribution reveals a highly fragmented and small-scale landlord ecosystem.
Ownership by Tier & Type
Individual investors overwhelmingly dominate all tiers of SFR ownership in Fisher County, with no company crossover point.
Individuals hold between 93.3% and 100.0% of properties across all reported tiers, with company ownership peaking at 6.7% in the 6-10 property tier. The absence of tier pricing by owner type prevents further analysis of acquisition strategies.
Geographic Distribution
TX-Fisher-79546 leads with 194 investor-owned properties, comprising 30.6% of its SFR market.
TX-Fisher-79556 shows extreme investor concentration at 100.0% ownership, while TX-Fisher-79560 has the highest significant rate at 34.1% (15 properties). TX-Fisher-79543 features prominently in both high count and high percentage rankings.
Historical Transactions
All landlords in Fisher County remain strong net buyers, with a 6.0x buy/sell ratio in 2025.
Landlords accumulated 24 properties while selling only 4 in 2025. This aggressive buying trend has accelerated from a 2.17x ratio in 2024, signaling continued expansion. Institutional investor transaction data is entirely absent.
Current Quarter Transactions
Fisher County registered zero landlord transactions in 2025-Q4, reflecting market dormancy.
With 0 properties bought and sold, landlords accounted for 0.0% of total Q4 transactions. Neither mom-and-pop nor institutional investors showed any activity, indicating a complete market pause.

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Current Holdings Portfolio

Analysis of landlord property holdings by type, financing method, and owner category

Chart Section5 Holdings
Key Insight
Individual landlords overwhelmingly dominate Fisher County's 303 investor-owned SFR properties (97.0%).
Detailed Findings

Fisher County's real estate market includes 303 investor-owned SFR properties, representing 31.4% of the total 966 SFR properties, indicating a significant landlord presence in the local housing stock.

Individual investors are the overwhelming force in the landlord market, owning 294 SFR properties, or 97.0% of all investor-owned SFR in the county. This significantly overshadows company ownership, which accounts for only 12 properties (4.0%).

The investor portfolio is heavily skewed towards rental income, with 291 properties classified as rented, representing 96.0% of all landlord-owned SFR, underscoring a clear focus on generating rental income.

A striking 92.7% of investor-owned properties (281 out of 303) are held as cash, with only 7.3% (22 properties) being financed, suggesting a high degree of financial liquidity and low leverage among landlords in Fisher County.

The dominance of individual investors extends to entity counts, with 267 individual landlords compared to just 13 company landlords, confirming that the market is primarily driven by small, independent operators.

The average portfolio size for individual landlords is 1.1 properties (294 properties / 267 entities), while company landlords average 0.9 properties (12 properties / 13 entities). This indicates a highly fragmented market with very small portfolios, even for companies.

Comparing property types by owner, individual landlords account for nearly all rented and cash-held properties, mirroring their overall market dominance and indicating a consistent investment strategy across owner types within this county.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords secured significant discounts, paying 66.8% less than homeowners in 2025-Q3, averaging $27,500.
Detailed Findings

Landlords in Fisher County consistently acquired properties at a substantial discount compared to traditional homeowners in recent quarters, securing a 66.8% lower price in 2025-Q3 ($27,500 vs $82,800) and a 62.0% lower price in 2025-Q2 ($45,574 vs $119,816).

The landlord discount against homeowner prices widened from Q2 to Q3 2025, moving from a $74,242 difference (62.0% less) to a $55,300 difference (66.8% less). This signifies landlords were able to acquire properties at an even greater relative value in Q3.

The average acquisition price for landlords shows some volatility, with prices at $27,500 in Q3 2025 and $45,574 in Q2 2025, reflecting potential for opportunistic buying in a market with few transactions.

While specific acquisition counts are listed as 0 for various timeframes, the existence of price comparison data for Q2 and Q3 2025 suggests transactions did occur during those periods, highlighting a potential data discrepancy in the volume metrics.

Comparing to prior years, the landlord average acquisition price was $27,906 in 2024 and $37,933 during the 2020-2023 period, suggesting current quarter (Q4) activity is either extremely low or non-existent, as indicated by the '0 properties' and 'nan' values.

The absence of Q4 2025 pricing data for both landlords and homeowners (Landlord $nan vs Homeowner $nan) suggests a lack of reported transactions in the current quarter, indicating a highly inactive market for new purchases.

The ability of landlords to consistently pay significantly less than homeowners, by over 60% in recent quarters, signals either a focus on distressed or off-market properties, or superior negotiation capabilities in Fisher County.

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

Key Insight
Zero landlord purchases occurred in Fisher County during 2025-Q4, indicating market inactivity.
Detailed Findings

Fisher County experienced a complete absence of SFR purchase activity in 2025-Q4, with both total SFR purchases and landlord Q4 purchases recorded at zero, indicating a highly inactive market.

As a direct consequence of no transactions, landlords accounted for 0.0% of the market's SFR purchases in Q4, signaling a pause in investor expansion.

The lack of purchasing activity extends across all investor tiers; neither mom-and-pop landlords (Tier 01-04) nor institutional investors (Tier 09) registered any purchases in Q4 2025, both at 0 properties.

This quarter marks a significant slowdown in investor activity, with no new entities entering the market and no expansion from existing landlords across any portfolio size.

The absence of Q4 purchase data by tier means there is no current quarter insight into which investor segments are most active or their average properties per entity.

The zero purchase volume in Q4 2025 stands in stark contrast to previous periods where transactions likely occurred (as indicated by pricing data in Section 6), highlighting a significant shift to market dormancy.

This current quarter's inactivity suggests either an extreme lack of inventory, cautious investor sentiment, or a complete market freeze in Fisher County.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords profoundly dominate Fisher County's investor-owned SFR market with 99.7% ownership.
Detailed Findings

Mom-and-pop landlords (Tiers 01-04) are the undisputed dominant force in Fisher County's investor-owned SFR market, controlling an overwhelming 99.7% of properties, totaling 307 out of 308 properties across all tiers.

The market is heavily skewed towards the smallest investors, with single-property landlords (Tier 01) owning 209 properties, representing 67.9% of the entire landlord-held portfolio.

Institutional investors (Tier 09, 1000+ properties) have no discernible presence in Fisher County, accounting for 0.0% of investor-owned SFR properties, contradicting a national narrative of institutional dominance.

Small landlords with 3-5 properties (Tier 03) contribute a significant 16.2% of holdings (50 properties), while two-property landlords (Tier 02) own 10.7% (33 properties), highlighting the depth of small-scale investment.

The average portfolio size is exceedingly small, with even the "small-medium" tier (11-20 properties) comprising only 1 property (0.3%), further emphasizing the mom-and-pop nature of this market.

The concentration of nearly all investor-owned properties within the 1-10 property tiers (307 properties) signals a market structure primarily driven by local individuals and families rather than large corporate entities.

Given the complete absence of pricing data by tier (TIER PRICES section is empty), it is not possible to analyze how acquisition prices vary with investor size or to identify any price trends over time across different tiers in Fisher County.

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 dominate all tiers of SFR ownership in Fisher County, with no company crossover point.
Detailed Findings

Individual investors demonstrate universal dominance across all observed portfolio tiers in Fisher County, owning between 93.3% and 100.0% of properties, underscoring the strong presence of independent landlords.

There is no 'crossover point' where company ownership surpasses individual ownership in any tier; individuals maintain a clear majority even in the largest represented tiers, indicating a market structure firmly rooted in private investment.

In the single-property tier (Tier 01), individual investors own 203 properties (95.8%), while companies hold a marginal 9 properties (4.2%), showcasing that even at the entry level, company activity is minimal.

Company ownership is scant across the board, with only one company property noted in the 3-5 property tier (2.0%) and another in the 6-10 property tier (6.7%), making the latter the highest concentration for companies.

The two-property tier (Tier 02) is exclusively individual-owned, with 33 properties and 0.0% company presence, further solidifying the mom-and-pop character of the market.

Due to the absence of specific pricing data for individual versus company buyers within each tier (section9-2.csv is not provided), it is impossible to analyze differences in acquisition prices or strategies between these owner types.

The consistent individual investor majority across all tiers reflects a deeply entrenched pattern of local, private capital driving the SFR rental market in Fisher County, with minimal influence from corporate entities.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
TX-Fisher-79546 leads with 194 investor-owned properties, comprising 30.6% of its SFR market.
Detailed Findings

Within Fisher County, the zip code TX-Fisher-79546 emerges as the dominant sub-geography for investor activity, holding 194 investor-owned SFR properties, which represents 30.6% of its local market.

TX-Fisher-79543 is another key area, with 82 investor-owned properties and a significant 33.3% investor ownership rate, demonstrating both high volume and high penetration of landlord activity.

While some zip codes, like TX-Fisher-79556, exhibit an exceptionally high 100.0% investor ownership rate, these are likely in areas with very few total properties, making the 34.1% rate in TX-Fisher-79560 (15 properties) more indicative of a concentrated investor presence.

The overall investor ownership rate for Fisher County stands at 31.4% (303 out of 966 total SFR properties), highlighting that a substantial portion of the housing stock across the county is held by landlords.

There is a clear correlation between areas with higher investor property counts and higher ownership percentages, with zip codes like TX-Fisher-79543 and TX-Fisher-79560 appearing in the top rankings for both metrics.

The data unfortunately lacks specific acquisition prices by geographic region, preventing an analysis of how landlord buying strategies or property values vary across these distinct zip code markets within Fisher County.

The geographic distribution underscores that investor activity is not uniformly spread, but rather concentrated in specific areas, suggesting targeted investment strategies by landlords in Fisher County's most active sub-markets.

Chart Section10 Top Regions
Chart Section10 Top Pct

Historical Transactions

Buy/sell transaction trends over time for all landlords and institutional investors

Chart Section11 Buysell
Chart Section11 Buysell Price
Chart Section11 Yoy All Landlords
Key Insight
All landlords in Fisher County remain strong net buyers, with a 6.0x buy/sell ratio in 2025.
Detailed Findings

Landlords in Fisher County consistently acted as net buyers throughout 2024 and 2025, significantly expanding their portfolios with 24 acquisitions against only 4 sales in Year 2025, and 13 acquisitions versus 6 sales in Year 2024.

The buy/sell ratio highlights aggressive accumulation, reaching 6.0x in 2025 (24 buys vs 4 sells), an increase from 2024's robust 2.17x ratio (13 buys vs 6 sells), demonstrating a growing confidence or opportunity in the market.

Quarterly trends in 2025 show landlords purchased 6 properties and sold 1 in Q3 (6.0x ratio), and bought 14 and sold 3 in Q2 (4.67x ratio), maintaining a strong net buyer position.

There is no recorded transaction activity for institutional investors (1000+ tier) in any timeframe, reinforcing the observation from Section 8 that large-scale corporate entities have no presence in Fisher County's SFR market.

Without data on average buy prices compared to average sell prices, it is impossible to infer implied profit margins or pricing strategies during these historical transactions.

The sustained net buying pattern across all landlords indicates a resilient investor market, focused on property acquisition and portfolio growth in Fisher County.

The absence of "bought from landlords" or "sold to landlords" percentages prevents an analysis of inter-landlord trading activity, limiting insights into market liquidity and internal transfers.

Current Quarter Transactions

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

Key Insight
Fisher County registered zero landlord transactions in 2025-Q4, reflecting market dormancy.
Detailed Findings

Fisher County's SFR market experienced a complete standstill in 2025-Q4, registering zero total transactions and zero landlord transactions, representing 0.0% of the market share.

The lack of any recorded transactions in Q4 suggests a significant halt in market liquidity and investor activity, contrasting with the net buying trend observed in earlier quarters of 2025 (Section 11).

As with purchases, no investor tier, including mom-and-pop (Tier 01-04) or institutional (Tier 09), registered any transaction activity in Q4, indicating widespread inactivity across all investor segments.

Due to the absence of Q4 transaction data by tier, it is not possible to determine average purchase prices by tier, which would typically reveal pricing strategies across different investor sizes.

Similarly, the lack of data on "bought from landlords" percentages prevents an analysis of inter-landlord trading activity or which tiers might rely more on acquiring properties from existing investors in Q4.

The complete dormancy in Q4 transactions for landlords raises questions about market supply, demand, or significant economic factors influencing investment decisions in Fisher County during this period.

This transactional freeze highlights a critical shift from the robust net buying behavior seen historically (Section 11) to a current quarter where no properties exchanged hands among or by landlords.

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Executive Summary

Mom-and-Pop Landlords Dominate Fisher County, Market Freezes in Q4.
Holdings
Landlords own 303 SFR properties, representing 31.4% of Fisher County's total SFR market. Individual investors hold 294 properties (97.0%), while companies own a minor 12 properties (4.0%) of the investor-owned portfolio.
Pricing
Landlords paid 66.8% less than traditional homeowners in 2025-Q3 ($27,500 vs $82,800), securing a $55,300 discount per property. This substantial price gap widened from Q2's 62.0% discount, but Q4 saw no recorded acquisition pricing.
Activity
Fisher County registered zero landlord purchases in 2025-Q4, bringing landlord acquisition share to 0.0% for the quarter. No new single-property landlords entered the market, and all investor tiers showed no buying activity.
Market Share
Small landlords (1-10 properties), often referred to as mom-and-pops, control a profound 99.7% of investor-owned housing in Fisher County. Institutional investors (1000+ properties) hold a negligible 0.0%, highlighting a highly fragmented market structure.
Ownership Type
Individual investors dominate all tiers of ownership, with companies never reaching a majority share. Individual holdings range from 93.3% to 100.0% across observed tiers, indicating minimal corporate influence.
Transactions
Landlords overall are strong net buyers in Fisher County, achieving a 6.0x buy/sell ratio in Year 2025 (24 buys vs 4 sells). However, institutional investors recorded zero transactions, showing no activity in either buying or selling.
Market Narrative

Fisher County's Single Family Residential (SFR) rental market is a domain overwhelmingly controlled by individual investors, colloquially known as mom-and-pop landlords. They collectively own 303 SFR properties, constituting 31.4% of the county's total SFR market. This landlord-held portfolio is nearly exclusively individual-owned, accounting for 294 properties or 97.0%, while companies hold a marginal 12 properties (4.0%). The market structure is highly fragmented, with mom-and-pop landlords (Tiers 01-04) controlling a staggering 99.7% of all investor-owned housing, with institutional investors showing no presence at all (0.0%).

Investor behavior in Fisher County has shown a pattern of aggressive accumulation historically, with landlords as a whole acting as strong net buyers, achieving a 6.0x buy-to-sell ratio in 2025 (24 buys vs. 4 sells). Landlords have also consistently demonstrated superior acquisition strategies, paying 66.8% less than traditional homeowners in 2025-Q3 (averaging $27,500 versus $82,800), a discount that widened from Q2. However, the 2025-Q4 quarter experienced a complete and unprecedented halt in activity, with zero landlord purchases and zero transactions recorded across all tiers, signaling a significant market pause or inventory shortage.

This unique market dynamic in Fisher County reveals a deeply local and independent investor ecosystem, largely untouched by the institutional forces often discussed in national real estate conversations. The complete freeze in Q4 transactional activity, following periods of strong net buying and significant discounts, suggests a market at a crossroads. While current data points to a temporary dormancy, the underlying structure remains heavily reliant on small-scale, cash-rich individual investors, shaping a distinct rental market landscape in Fisher County, Texas.

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 18, 2026 at 02:05 PM
Data PeriodQ4 2025
Geography LevelCounty
GeographyFisher (TX)
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Chart Section2 Coverage
Chart Section2 Coverage
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Chart Section3 Ownership Donut
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
Chart Section6 Trends
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Chart Section8 Distribution
Chart Section8 Distribution
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Chart Section8 Prices
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Chart Section8 Prices Q4
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
Chart Section9 Ownership
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Chart Section9 Growth
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Chart Section9 Growth Q4
Chart Section9 Growth Q4
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Chart Section9 Yoy Comparison
Chart Section9 Yoy Comparison
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Chart Section10 Top Regions
Chart Section10 Top Regions
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Chart Section10 Top Pct
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Chart Section11 Buysell
Chart Section11 Buysell
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Chart Section11 Buysell Price
Chart Section11 Buysell Price
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Chart Section11 Yoy All Landlords
Chart Section11 Yoy All Landlords