Monmouth (NJ) Investor Pulse Report (2026-Q1)

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

Market Overview

Total SFR Properties in Monmouth (NJ)
208,908
Total Investors in Monmouth (NJ)
37,942
Investor Owned SFR in Monmouth (NJ)
30,308(14.5%)
Individual Landlords
Landlords
32,264
SFR Owned
23,668
Corporate Landlords
Landlords
5,678
SFR Owned
6,983
Understanding Property Counts

Distinct Count Methodology: The total 30,308 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 Landlords Dominate Monmouth County with 97.6% Ownership as Institutions Retreat as Net Sellers
Investors own 30,308 single-family properties in Monmouth County, NJ, representing 14.5% of the market. Small, mom-and-pop landlords control a staggering 97.6% of this portfolio, while institutional investors are actively selling. In Q1 2026, landlords purchased properties at a significant 18.1% discount compared to traditional homeowners and remained strong net buyers with a 4.4-to-1 buy/sell ratio.
Landlord Owned Current Holdings
Investors own 30,308 properties, 14.5% of Monmouth County's SFR market.
Individual investors own 78.1% of these properties (23,668 homes), far outpacing companies. A high proportion of these holdings, 60.6%, are owned outright with no financing. The portfolio is heavily rental-focused, with 97.5% of properties identified as non-owner-occupied.
Landlord vs Traditional Homeowners
Landlords bought homes for 18.1% less than homeowners in Q1 2026, a $154,337 discount.
This significant price advantage for landlords has fluctuated, marking a sharp increase from the 6.3% and 8.1% discounts seen in the first half of 2025. Landlord acquisition prices have appreciated 15.8% since the 2020-2023 period, rising from an average of $602,215 to $697,227 in the latest quarter.
Current Quarter Purchases
Investors purchased 19.5% of all single-family homes sold in Q4 2025.
Mom-and-pop investors (1-10 properties) were the driving force, accounting for 96.7% of all landlord purchases. In a telling sign of market dynamics, institutional investors with over 1,000 properties made zero acquisitions. The quarter also saw 229 new single-property landlords enter the market.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) own 97.6% of all investor-held SFRs.
This absolute dominance leaves institutional investors (1000+ properties) with a minuscule 0.1% share of the market, or just 33 properties total. In Q1 2026, new single-property landlords paid the highest average price among active tiers at $700,656, signaling an aggressive entry into the market.
Ownership by Tier & Type
Companies become the majority owner at the 6-10 property tier, signaling a professionalization shift.
While individuals overwhelmingly own smaller portfolios (81.2% of single-property rentals), companies control 59.2% of portfolios in the 6-10 property range. This trend accelerates in larger tiers, with companies owning 87.2% of portfolios in the 21-50 property size.
Geographic Distribution
Investor ownership is highly concentrated, with zip code 07728 holding the most properties at 2,361.
The zip code 07740 presents a unique hotspot, combining a high volume of 2,228 investor-owned homes with one of the highest ownership rates at 30.1%. Several smaller zip codes, such as 07765 and 07405, report 100% investor ownership, likely indicating specialized rental communities or data anomalies.
Historical Transactions
Landlords are aggressive net buyers, while institutional investors are consistently net sellers.
In Q1 2026, the overall landlord market had a 4.4-to-1 buy-to-sell ratio (282 buys vs 64 sells). In sharp contrast, institutional investors in 2025 sold over four times as many properties as they acquired (30 sells vs 7 buys), signaling a clear divestment strategy.
Current Quarter Transactions
Landlords participated in 16.6% of all Q1 2026 transactions, acquiring 282 properties.
New investors in the single-property tier paid a high average price of $700,656, second only to one-off purchases in the 51-100 tier. Inter-landlord trading is minimal, with only 7.0% of single-property tier purchases sourced from other investors, indicating that most acquisitions expand the rental pool.

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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 30,308 properties, 14.5% of Monmouth County's SFR market.
Detailed Findings

In Monmouth County, NJ, investors hold a significant portfolio of 30,308 Single-Family Residential (SFR) properties, accounting for 14.5% of the total 208,908 SFRs in the market. This demonstrates a notable concentration of properties dedicated to real estate investing.

The ownership structure is overwhelmingly dominated by individual investors, who control 23,668 properties, or 78.1% of the investor-owned market. In contrast, company-owned properties number 6,983, making up the remaining 23.0%.

A look at landlord entities reinforces this pattern: of the 37,942 distinct landlords, 32,264 (85.0%) are individuals, compared to just 5,678 (15.0%) companies. This highlights that the local rental market is primarily supported by small-scale, individual operators.

Financially, the portfolio appears robust, with 18,376 properties (60.6%) owned free and clear as cash assets, compared to 11,932 (39.4%) that are financed. This high rate of cash ownership suggests many investors are well-capitalized.

The portfolio's primary use is clear, with 29,549 properties (97.5%) confirmed as rented or non-owner-occupied. This near-total rental concentration underscores the role these properties play in providing housing for the county's rental population.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords bought homes for 18.1% less than homeowners in Q1 2026, a $154,337 discount.
Detailed Findings

In Q1 2026, investors demonstrated a distinct pricing advantage, acquiring properties at an average price of $697,227. This was a substantial 18.1% less than the $851,564 paid by traditional homeowners, representing a savings of $154,337 per property.

This price gap has not been static. The 18.1% discount in Q1 2026 is significantly wider than the 6.3% discount recorded in Q2 2025 and the 8.1% in Q1 2025, though it is slightly less than the 22.3% gap observed in Q3 2025, indicating volatile but consistently favorable buying conditions for investors.

Acquisition prices have seen considerable appreciation over the last few years. The average landlord purchase price of $697,227 in Q1 2026 is 15.8% higher than the average of $602,215 during the 2020-2023 period, reflecting broad market value growth.

The ability of landlords to consistently purchase below the homeowner market rate suggests more sophisticated deal-finding strategies, such as off-market acquisitions or targeting properties that require renovation, which are often priced lower.

This consistent discount is a core driver of investor profitability, allowing them to build equity immediately upon purchase and achieve better cash flow metrics compared to a traditional homebuyer purchasing at the top of the market.

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
Investors purchased 19.5% of all single-family homes sold in Q4 2025.
Detailed Findings

During Q4 2025, landlords were a major force in the Monmouth County market, acquiring 241 of the 1,235 total SFRs sold, which constitutes a 19.5% market share of all purchases.

Activity was almost exclusively driven by smaller investors. Mom-and-pop landlords (owning 1-10 properties) bought 233 of the 241 properties, representing a massive 96.7% of all investor acquisitions for the quarter.

The most active segment by far was new investors. Landlords purchasing their very first rental property (Tier 01) accounted for 193 properties, or 79.4% of the total investor buy-side activity.

In stark contrast to the activity from small landlords, institutional investors (Tier 09, 1000+ properties) were completely absent from the market, purchasing zero properties during the quarter. This highlights a significant divergence in strategy between large and small players.

The influx of new entrants is a strong indicator of the market's appeal to first-time investors, with 229 new landlord entities being created in Q4 2025 alone through single-property purchases.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) own 97.6% of all investor-held SFRs.
Detailed Findings

The structure of rental property ownership in Monmouth County is defined by the overwhelming presence of small investors. Mom-and-pop landlords, who own between 1 and 10 properties, control a combined 97.6% of all investor-owned SFRs.

Single-property landlords (Tier 01) alone make up the largest segment, holding 24,305 properties, which is 78.0% of the entire investor portfolio. This underscores that the typical landlord is not a large corporation but an individual or family with a single rental unit.

Conversely, institutional investors with portfolios exceeding 1,000 properties have a negligible footprint in the county. They own just 33 properties, accounting for only 0.1% of the investor-held housing stock, a figure that challenges the narrative of a corporate takeover of residential real estate.

The combined share of all mid-size and large investors (11 to 1000+ properties) is a mere 2.4%, further cementing the market's reliance on small-scale operators.

This distribution reveals a highly fragmented and decentralized rental market, where market dynamics are shaped by the collective actions of thousands of individual owners rather than a few large institutional players.

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 majority owner at the 6-10 property tier, signaling a professionalization shift.
Detailed Findings

A clear pattern emerges when analyzing ownership by entity type across different portfolio sizes. Individual landlords are the backbone of the small-portfolio market, owning 81.2% of all single-property rentals and 76.6% of two-property portfolios.

The crossover point where ownership professionalizes occurs in the 6-10 property tier (Tier 04). At this level, companies take a majority stake, owning 375 properties (59.2%) compared to the 258 properties (40.8%) held by individuals.

This trend toward corporate ownership intensifies as portfolios grow. In the 11-20 property tier, companies own 77.0% of the homes, and in the 21-50 property tier, their share jumps to 87.2%.

This data suggests that as investors scale their operations beyond five properties, they are more likely to incorporate for liability protection, financing advantages, and operational efficiency. The initial entry into the market, however, remains an individual-driven endeavor.

Understanding this transition point is crucial for anyone analyzing the rental market, as it delineates the line between casual, small-scale investing and more structured, professional real estate operations.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor ownership is highly concentrated, with zip code 07728 holding the most properties at 2,361.
Detailed Findings

Investor activity in Monmouth County is not evenly distributed but is concentrated in specific geographic pockets. The top five zip codes by sheer volume of investor-owned properties are 07728 (2,361), 07740 (2,228), 07719 (1,718), 07712 (1,604), and 07753 (1,474).

Some areas show an exceptionally high penetration of investor ownership. Zip code 07740 stands out with a 30.1% investor ownership rate, one of the highest among areas with a substantial housing stock, making it a true rental-market stronghold.

An interesting anomaly appears in the data for zip codes like 07765, 07405, and 08701, which report a 100% investor ownership rate. These are likely small, niche areas composed entirely of rental properties, such as a single development, or may reflect unique assessor data classifications.

The contrast between high-count and high-percentage areas reveals different market types. A zip code like 07728 has a high number of rentals but a more moderate ownership rate (13.6%), suggesting a large, diverse housing market. In contrast, 07740's high rate and high count indicate a market heavily defined by its rental segment.

This granular, zip-code-level analysis, which can be performed using a detailed property search platform, is essential for investors seeking to understand local submarket dynamics and identify areas with high rental demand or potential for new acquisitions.

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 aggressive net buyers, while institutional investors are consistently net sellers.
Detailed Findings

Transaction data reveals a dramatic split in market strategy between small and large investors. Overall, landlords in Monmouth County are strong net buyers, consistently acquiring more properties than they sell. In Q1 2026, they purchased 282 properties while selling only 64, a buy/sell ratio of 4.4 to 1.

This trend of accumulation has been consistent, with a buy/sell ratio of 3.65 to 1 for the full year of 2025 (1,661 buys vs. 455 sells). The overall purchasing volume has also remained remarkably stable, with 1,655 buys in 2024 and 1,661 in 2025.

However, the institutional tier (1000+ properties) is moving in the opposite direction. These large-scale investors are unambiguous net sellers. For example, in Q3 2025, they bought only one property while selling ten. Over the full year of 2025, they sold 30 properties and acquired just 7.

This divergence is one of the most critical findings in the latest market report. While thousands of small investors are entering the market and expanding their holdings, the largest, most sophisticated players are reducing their exposure in Monmouth County.

This trend suggests that small, local investors see value and opportunity where large institutions may see unfavorable macro conditions or better returns elsewhere. It also indicates that the growth in investor ownership is being fueled from the ground up, not from the top down.

Current Quarter Transactions

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

Key Insight
Landlords participated in 16.6% of all Q1 2026 transactions, acquiring 282 properties.
Detailed Findings

In the first quarter of 2026, landlords were involved in 282 of the 1,699 total SFR transactions, capturing a 16.6% share of market activity. This demonstrates sustained purchasing from the investor segment.

Analysis of purchase prices by tier reveals interesting strategies. The most active group, single-property landlords, paid an average of $700,656. This was one of the highest prices paid across any tier, suggesting new entrants are willing to pay a premium to enter the market.

In contrast, more established small landlords in the 3-5 and 6-10 property tiers demonstrated greater price discipline, paying significantly less on average ($558,377 and $303,333, respectively). This may reflect a strategy of targeting value-add or distressed properties.

The data also shows that the rental market is expanding rather than just churning. For the largest group of buyers (Tier 01), only 16 of their 229 purchases (7.0%) came from another landlord. This low rate of inter-landlord transactions means investors are primarily buying from homeowners, converting owner-occupied housing into rental stock.

The highest single transaction price was in the 51-100 tier at $784,800, while institutional investors (1000+ tier) recorded zero transactions, reinforcing their inactivity in the current market.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Mom-and-pop landlords control 97.6% of Monmouth County's investor market as large institutions actively sell holdings
Holdings
Landlords own 30,308 SFR properties, representing 14.5% of Monmouth County's market. Ownership is dominated by individual investors, who hold 23,668 of these properties (78.1%), while companies own 6,983 (23.0%).
Pricing
Investors secured a significant 18.1% discount in Q1 2026, paying an average of $697,227 per property, which is $154,337 less than the $851,564 paid by traditional homeowners.
Activity
In Q4 2025, landlords acquired 19.5% of all homes sold, with mom-and-pop investors accounting for 96.7% of that activity. The market saw an influx of 229 new single-property landlords, while institutional buyers made zero purchases.
Market Share
Small mom-and-pop landlords (1-10 properties) overwhelmingly control investor housing with a 97.6% share. In contrast, institutional investors (1000+ properties) own just 0.1% of the portfolio.
Ownership Type
Individual investors form the base of the market, but companies become the majority owners in portfolios of 6-10 properties and larger, controlling over 87% of portfolios in the 21-50 property range.
Transactions
Landlords are strong net buyers with a 4.4-to-1 buy/sell ratio in Q1 2026. Conversely, institutional investors are clear net sellers, having sold over four times more properties than they bought throughout 2025.
Market Narrative

The single-family rental market in Monmouth County, NJ, is fundamentally a story of the small, local investor. Our analysis reveals that investors own 30,308 properties, or 14.5% of the county's total SFR housing stock. This portfolio is overwhelmingly controlled by mom-and-pop landlords (1-10 properties), who hold a staggering 97.6% share. In stark contrast, institutional investors with over 1,000 properties own just 0.1%. The market is further defined by individuals rather than corporations, with 78.1% of all investor-owned homes held by individual owners.

Investor behavior in Q1 2026 underscores these structural dynamics. Landlords were aggressive net buyers, acquiring 4.4 properties for every one they sold, and secured a significant 18.1% price discount compared to traditional homeowners. This activity was fueled by new entrants, as 229 first-time landlords bought homes in Q4 2025. The most striking trend, however, is the complete divergence in strategy between small and large players. While mom-and-pop investors are actively buying, institutional investors are net sellers, consistently divesting their local assets.

The key takeaway from these market reports is that the narrative of a corporate takeover of suburban housing does not apply in Monmouth County. Instead, the market's growth is driven from the ground up by thousands of individual investors expanding the rental housing supply. The retreat of institutional capital, paired with the aggressive entry of new small landlords paying near-market prices, signals a resilient and highly decentralized market poised for continued growth led by local operators.

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 11:50 PM
Data Period Q1 2026
Geography Level County
Geography Monmouth (NJ)
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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 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 Monmouth (NJ) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-nj-monmouth/. Licensed under CC BY-NC-ND 4.0.