Martin (FL) Investor Pulse Report (2026-Q1)

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

Market Overview

Total SFR Properties in Martin (FL)
50,705
Total Investors in Martin (FL)
9,130
Investor Owned SFR in Martin (FL)
6,785(13.4%)
Individual Landlords
Landlords
7,570
SFR Owned
5,390
Corporate Landlords
Landlords
1,560
SFR Owned
1,802
Understanding Property Counts

Distinct Count Methodology: The total 6,785 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 Martin County with 97.6% Ownership as Institutions Become Net Sellers
Investors own 6,785 SFR properties in Martin County (13.4% of the market), with mom-and-pop landlords controlling a staggering 97.6% versus just 0.2% for institutional investors. In Q1 2026, landlords purchased 10.0% of all properties sold, paying 9.4% less than traditional homeowners. While the overall market sees landlords as strong net buyers, institutional firms are consistently net sellers.
Landlord Owned Current Holdings
Investors own 6,785 homes in Martin County, with individuals holding a dominant 79.4% share.
Cash is the preferred method of holding, with 4,628 properties owned outright compared to 2,157 that are financed. The portfolio is overwhelmingly rental-focused, as 97.4% of these properties (6,609 homes) are classified as rented.
Landlord vs Traditional Homeowners
In Q1 2026, landlords paid 9.4% less than homeowners, a significant discount of $61,472 per property.
The landlord purchasing advantage is highly volatile, shifting from a 3.4% premium in Q1 2025 to the current 9.4% discount a year later. Average acquisition prices for investors in 2025 ($640,237) were slightly lower than in 2024 ($651,882), indicating some price stabilization.
Current Quarter Purchases
Landlords acquired 11.7% of all SFR properties sold in the most recent quarter, totaling 109 homes.
Mom-and-pop investors drove 94.6% of landlord acquisitions, purchasing 105 properties. In contrast, institutional investors acquired just one property, showcasing the dominance of small-scale real estate investing.
Ownership by Tier
Mom-and-pop landlords control 97.6% of all investor-owned SFRs in Martin County, defying institutional narratives.
Single-property landlords alone own 80.4% of the investor-owned housing stock, a total of 5,621 homes. In stark contrast, institutional investors with portfolios of over 1,000 properties own just 0.2%, or 11 homes.
Ownership by Tier & Type
Companies become the dominant owner type in portfolios of 6-10 properties and larger.
In the 6-10 property tier, companies own 65.2% of homes, a figure that rises to 85.3% in the 11-20 property tier. Below this crossover point, individual investors are the clear majority, owning 79.8% of single-property portfolios.
Geographic Distribution
Investor activity is heavily concentrated, with zip codes 34997, 34990, and 33455 holding the most properties.
The highest investor penetration rates are found in different areas, led by 34949 where investors own 50.0% of SFRs. This contrasts with high-volume zip code 34997, which has a much lower investor ownership rate of 12.6%.
Historical Transactions
Landlords are strong net buyers, acquiring 3.3 properties for every one sold in Q1 2026.
In a direct reversal of the market trend, institutional investors (1,000+ properties) are consistent net sellers. In Q1 2026, they bought one home and sold one, following years where their sales outpaced acquisitions.
Current Quarter Transactions
Landlords were involved in 10.0% of all single-family property transactions in Q1 2026.
A significant price gap exists between investor types, with institutional buyers paying $329,083 on average, 40.3% less than single-property landlords at $551,387. Mid-size landlords (6-10 properties) were most likely to buy from other investors, sourcing 66.7% of their deals that way.

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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 6,785 homes in Martin County, with individuals holding a dominant 79.4% share.
Detailed Findings

In Martin County, investors hold 6,785 Single-Family Residential (SFR) properties, representing 13.4% of the total 50,705 SFRs. This signifies a substantial, yet not dominant, investor presence in the local housing market.

Individual investors are the backbone of the rental market, owning 5,390 properties, which accounts for 79.4% of all investor-owned homes. In contrast, company-owned properties number 1,802, making up the remaining 26.6%.

A striking financial characteristic of this portfolio is its reliance on cash. A total of 4,628 properties (68.2%) are held free of financing, compared to 2,157 properties with active mortgages. This suggests that many local investors have significant capital and may be less sensitive to interest rate fluctuations.

The portfolio is clearly geared towards generating rental income, with 6,609 properties (97.4%) identified as rented. This high concentration underscores the primary strategy of local investors as buy-and-hold landlords rather than short-term flippers.

The ownership base is broad, with 7,570 individual landlords and 1,560 company landlords identified. The number of landlords exceeding the number of properties indicates a significant pattern of co-ownership, especially among smaller individual investors.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
In Q1 2026, landlords paid 9.4% less than homeowners, a significant discount of $61,472 per property.
Detailed Findings

Investors in Martin County demonstrated a strong purchasing advantage in the first quarter of 2026, acquiring properties for an average of $592,312. This was $61,472, or 9.4%, less than the $653,784 paid by traditional homeowners, suggesting effective deal-sourcing or a focus on properties needing renovation.

The price gap between landlords and homeowners is not consistent. In Q1 2025, investors actually paid a 3.4% premium, spending $700,552 compared to the homeowner average of $677,613. This volatility, from a premium to a deep discount within a year, signals fluctuating market conditions and negotiation power.

The sharpest discount observed recently was in Q3 2025, when landlords paid 11.0% less than homeowners, a difference of $68,232. This was followed by a more moderate 5.5% discount in Q2 2025.

Examining longer-term price trends, the average investor acquisition price during the 2020-2023 boom years was $530,474. This reflects significant appreciation compared to recent annual averages, though prices slightly cooled from $651,882 in 2024 to $640,237 in 2025.

The data for 2026-Q1 indicates zero properties purchased. This might be a data lag, however, the pricing comparison for the same period remains a key indicator of the negotiating environment at the start of the year.

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 11.7% of all SFR properties sold in the most recent quarter, totaling 109 homes.
Detailed Findings

In the most recent quarter of activity (Q4 2025), investors purchased 109 of the 931 total SFRs sold in Martin County, capturing 11.7% of the market. This steady acquisition rate shows continued investor appetite for local real estate.

The market's new activity is overwhelmingly driven by small investors. Mom-and-pop landlords (owning 1-10 properties) accounted for 105 of the 109 investor purchases, a massive 94.6% share of acquisition activity.

New entrants are a major force, with single-property landlords making up the largest group of buyers. These 114 new landlord entities acquired 79 properties, representing 71.2% of all investor purchases for the quarter.

Mid-size investors (11-50 properties) showed modest activity, acquiring 5 properties combined. This group continues to build portfolios but at a much slower pace than new entrants.

Institutional investors (1,000+ properties) had a negligible impact on acquisitions, purchasing only a single property. This lack of activity aligns with broader trends showing large firms are not actively expanding their footprint in this market.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords control 97.6% of all investor-owned SFRs in Martin County, defying institutional narratives.
Detailed Findings

The investor landscape in Martin County is defined by the dominance of small-scale landlords. Those owning 1-10 properties, often called mom-and-pop investors, control a staggering 97.6% of all investor-held SFRs.

The concentration at the smallest end of the spectrum is even more pronounced. Landlords with just a single investment property make up the largest segment, owning 5,621 homes, or 80.4% of the entire investor portfolio. This highlights that the typical real estate investor in this market is an individual, not a corporation.

As portfolio sizes increase, the number of properties held drops off dramatically. Two-property landlords hold 6.8% of the stock, and those with 3-5 properties hold 8.4%. Beyond that, no single tier holds more than 2% of the market share.

Mid-size landlords (11-100 properties) represent a very small fraction of the market, collectively owning just 2.1% of investor-held SFRs. This indicates that few local investors scale their operations beyond the 10-property mark.

Institutional investors (1,000+ properties) have a minimal footprint, controlling only 11 properties, which translates to a mere 0.2% of the investor-owned market. This data challenges the perception that large corporations are the primary owners of single-family rentals.

Chart Section8 Distribution
Chart Section8 Prices
Chart Section8 Prices Q4
Chart Section8 Yoy Comparison

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Ownership by Tier & Owner Type

Breakdown of individual vs corporate ownership across portfolio tiers

Chart Section9 Ownership
Chart Section9 Growth
Chart Section9 Growth Q4
Chart Section9 Yoy Comparison
Key Insight
Companies become the dominant owner type in portfolios of 6-10 properties and larger.
Detailed Findings

A clear pattern emerges when analyzing ownership by entity type across portfolio tiers: individuals start small, and companies scale. Individual investors overwhelmingly dominate the entry-level tiers, owning 79.8% of single-property portfolios and 64.9% of two-property portfolios.

The balance of power shifts definitively in the 6-10 property tier. At this stage, companies own 88 properties (65.2%), while individuals own 47 (34.8%). This marks the crossover point where a corporate structure becomes the more common vehicle for managing a growing rental portfolio.

Company ownership concentration intensifies in larger tiers. For investors holding 11-20 properties, companies control 85.3% of the homes. In the 101-1,000 property tier, company ownership reaches 83.3%.

Even in the 3-5 property tier, which is still majority-individual (67.2%), companies have a significant presence with 202 properties (32.8%). This suggests many investors choose to incorporate relatively early in their growth journey.

This ownership structure highlights different strategies. Individuals form the broad base of the market with smaller holdings, while scaling operations into larger portfolios is an activity predominantly pursued by incorporated entities.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is heavily concentrated, with zip codes 34997, 34990, and 33455 holding the most properties.
Detailed Findings

Geographic analysis reveals that investor ownership in Martin County is not evenly distributed. A few key zip codes contain the highest volume of investor-owned properties. The top three by count are 34997 (1,808 properties), 34990 (1,204 properties), and 33455 (1,156 properties).

However, the areas with the highest concentration by volume are not the same as those with the highest penetration rate. This indicates different market dynamics. The top zip code by ownership percentage is 34949, where investors own 50.0% of all SFRs.

Other areas with high investor penetration include 33438 (33.3%), 34956 (26.8%), and 34974 (26.3%). These zip codes may represent smaller, niche markets where investor activity has a greater relative impact on the housing stock.

The contrast between volume and rate is significant. For example, 34997 has the most investor-owned homes (1,808) but a relatively moderate ownership rate of 12.6%. Conversely, 34949 has a 50% rate but likely a smaller total number of homes, making it a highly targeted investor submarket.

This bifurcation suggests two types of investor hubs: large, stable rental markets with high absolute numbers of investor properties, and smaller, high-concentration markets where investors play a much more dominant role.

Chart Section10 Top Regions
Chart Section10 Top Pct

Historical Transactions

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

Chart Section11 Buysell
Chart Section11 Buysell Price
Chart Section11 Yoy All Landlords
Chart Section11 Institutional
Chart Section11 Institutional Price
Chart Section11 Yoy Institutional
Key Insight
Landlords are strong net buyers, acquiring 3.3 properties for every one sold in Q1 2026.
Detailed Findings

The overall investor market in Martin County is in an accumulation phase. In Q1 2026, landlords purchased 155 properties while selling only 47, making them strong net buyers with a buy-to-sell ratio of 3.3 to 1. This trend was consistent through 2025 and 2024.

However, transaction velocity has been slowing. The 362 properties purchased in Q2 2025 marked a recent peak, with acquisition volume declining to 186 in Q3 2025 and 155 in Q1 2026. This suggests a more cautious buying environment emerging.

A critical divergence exists between the broader market and its largest players. Institutional investors (1,000+ tier) are actively divesting. In 2025, they sold 6 properties while buying only 5, making them net sellers. This pattern was even more pronounced in 2024, with 2 buys versus 5 sells.

The latest data from Q1 2026 shows this institutional trend continuing, with an equal number of buys and sells (one of each). This neutral-to-negative position starkly contrasts with the aggressive net-buying activity of smaller landlords.

This dynamic indicates a market shift: as large, institutional capital pulls back or rebalances, smaller local investors are stepping in to absorb inventory and expand their portfolios, signaling confidence in the local market's long-term prospects.

Current Quarter Transactions

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

Key Insight
Landlords were involved in 10.0% of all single-family property transactions in Q1 2026.
Detailed Findings

In Q1 2026, landlords participated as buyers in 155 of the 1,556 total SFR transactions, accounting for a 10.0% market share of purchases. This activity was heavily concentrated among the smallest investors.

Single-property landlords were the most active, conducting 114 transactions. Their average purchase price was $551,387, setting a benchmark for new market entrants.

A stark pricing strategy difference is evident across tiers. The institutional tier (1,000+ properties) paid an average of just $329,083 for its single acquisition. This is 40.3% less than what new single-property landlords paid, highlighting a focus on lower-cost assets or distressed properties.

The highest prices were paid by landlords in the 3-5 property tier, who averaged $793,570 per purchase. This suggests this cohort may be targeting higher-value, turnkey rental properties to expand their established portfolios.

Inter-landlord transactions show varying sourcing strategies. While the 6-10 property tier had the highest rate of buying from other landlords (66.7%), this was based on a small sample size. More broadly, 12.3% of purchases by new single-property landlords came from existing landlords, indicating a healthy level of inventory churn within the investor community.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Mom-and-Pop Investors Dominate Martin County with 97.6% Ownership as Institutions Become Net Sellers
Holdings
Landlords own 6,785 SFR properties, representing 13.4% of Martin County's market. Individual investors hold the vast majority with 5,390 properties (79.4%), while companies own 1,802 (26.6%).
Pricing
In Q1 2026, landlords paid 9.4% less than traditional homeowners, securing an average discount of $61,472 per property ($592,312 vs $653,784).
Activity
Landlords acquired 11.7% of homes sold in the most recent quarter (109 properties), a period which saw 114 new single-property landlord entities enter the market.
Market Share
Small, mom-and-pop landlords (1-10 properties) overwhelmingly control the market with a 97.6% share of investor-owned housing, while institutional investors own just 0.2%.
Ownership Type
Individual investors form the base of the market, but companies become the majority owners in portfolios of 6-10 properties and continue to dominate through the largest tiers.
Transactions
While landlords overall are strong net buyers with a 3.3x buy-to-sell ratio in Q1 2026 (155 buys vs 47 sells), institutional investors are consistently net sellers, indicating a strategic retreat.
Market Narrative

The single-family rental market in Martin County, Florida is fundamentally a story of the local, small-scale investor. Landlords own 6,785 properties, or 13.4% of the total SFR housing stock. The ownership structure overwhelmingly favors individuals, who hold 79.4% of these homes. Analysis from this investor pulse report shows that mom-and-pop landlords (owning 1-10 properties) control a staggering 97.6% of all investor-owned inventory, while large institutional firms (1,000+ properties) own a mere 0.2%, challenging any narrative of a corporate takeover.

Investor behavior in the first quarter of 2026 reveals savvy acquisition strategies and a clear divergence between large and small players. Landlords purchased 10.0% of all homes sold, securing them at a 9.4% discount compared to traditional homeowners. While the market as a whole is in accumulation mode, with landlords buying 3.3 homes for every one they sell, institutional investors are bucking the trend. These large firms are consistent net sellers, signaling a strategic divestment from the area while smaller investors continue to buy in.

The key takeaway for Martin County is the resilience and dominance of the local landlord. The market is not driven by Wall Street but by individuals and small companies, with 114 new single-property investors entering in the last quarter alone. While institutional capital appears to be retreating, the foundation of the local rental market remains robust, built upon a wide base of mom-and-pop owners who are actively investing and expanding their holdings.

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 21, 2026 at 04:11 AM
Data Period Q1 2026
Geography Level County
Geography Martin (FL)
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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 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 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.

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How to cite this report

BatchData. (2026). Q1 2026 Martin (FL) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-fl-martin/. Licensed under CC BY-NC-ND 4.0.