Queens (NY) Investor Pulse Report (2026-Q1)

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

Market Overview

Total SFR Properties in Queens (NY)
147,437
Total Investors in Queens (NY)
47,575
Investor Owned SFR in Queens (NY)
30,794(20.9%)
Individual Landlords
Landlords
41,593
SFR Owned
26,533
Corporate Landlords
Landlords
5,982
SFR Owned
4,635
Understanding Property Counts

Distinct Count Methodology: The total 30,794 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 Queens with 99.8% Ownership as Institutions Retreat as Net Sellers
In Queens, investors own 30,794 single-family properties, 20.9% of the market, with mom-and-pop landlords controlling a near-total 99.8% share. In Q1, landlords were aggressive net buyers, acquiring properties at a 6.6% discount compared to homeowners, while institutional investors have become net sellers, signaling a major strategic divergence in the market.
Landlord Owned Current Holdings
Investors own 30,794 SFR properties in Queens, with individual landlords holding 86.2%.
A significant majority (69.3%) of these properties are financed, with 21,331 under mortgage compared to 9,463 owned in cash. Nearly the entire portfolio (30,593 properties) is non-owner-occupied and serves as rentals.
Landlord vs Traditional Homeowners
Landlords paid 6.6% less than homeowners in Q1, a discount of $64,634 per property.
The price gap has widened significantly from 3.8% in Q2 2025 to 6.6% in Q1 2026, suggesting investors are finding better deals. Price appreciation is also clear, with the average 2020-2023 price at $831,300 rising to $920,056 in Q1 2026.
Current Quarter Purchases
Landlords acquired 38.8% of all SFR properties sold in Q4, totaling 488 homes.
Mom-and-pop landlords (1-10 properties) accounted for a staggering 99.2% of all investor purchases. In contrast, institutional investors (1000+ properties) acquired just a single property.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control an overwhelming 99.8% of investor-owned SFRs.
Single-property landlords alone own 95.1% of the entire investor portfolio (29,607 properties). Institutional investors (1000+ properties) have a negligible footprint, holding just 13 properties (0.0%).
Ownership by Tier & Type
Individuals dominate smaller portfolios, but companies become the majority owners at the 6-10 property tier.
In the 6-10 property tier, companies own 77.5% of the properties. This trend continues into the 11-20 property tier, where companies hold a 68.0% share, signaling a clear shift to corporate structures for larger portfolios.
Geographic Distribution
Investor activity is highly concentrated in Queens, with zip code 11357 leading in property count at 1,401.
Certain zip codes show extreme investor penetration, with 11580 and 11217 registering 100.0% investor ownership. The top 5 zip codes by count all have investor ownership rates around 20%.
Historical Transactions
Landlords were strong net buyers in Q1 with 663 purchases vs 50 sales, a 13.26x ratio.
This net buying trend is consistent over time, with similar activity in 2025 and 2024. However, institutional investors (1000+ tier) are divesting, acting as net sellers in Q1 2026 (1 buy vs. 3 sells).
Current Quarter Transactions
Landlords were involved in 35.4% of all Q1 transactions, making 663 purchases.
A massive price gap exists between investor tiers: single-property landlords paid $924,538 on average, while the institutional buyer paid 62.6% less at $346,000. Inter-landlord trades are rare, with only 4.7% of single-property landlord purchases coming from other investors.

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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 30,794 SFR properties in Queens, with individual landlords holding 86.2%.
Detailed Findings

In Queens, investors hold a significant 20.9% of the single-family residential market, totaling 30,794 properties. This highlights a strong presence of real estate investing activity within the county's housing stock of 147,437 total SFRs.

The ownership structure is overwhelmingly dominated by individual investors, who own 26,533 properties, or 86.2% of the total investor portfolio. Company-owned properties, while representing a smaller share, still account for 4,635 homes (15.1%).

By entity count, the disparity is similar, with 41,593 individual landlords compared to just 5,982 company landlords. This reveals that the vast majority of investors in the market are small-scale, individual operators rather than large corporations.

An analysis of financing reveals that leverage is a key strategy for investors in Queens. A total of 21,331 properties (69.3%) are financed with a mortgage, while 9,463 properties (30.7%) are owned outright with cash.

The portfolio's primary purpose is clear, as 30,593 properties, or 99.3% of all investor-owned homes, are classified as non-owner-occupied. This indicates that nearly the entire investor-held inventory functions as rental housing for the community.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords paid 6.6% less than homeowners in Q1, a discount of $64,634 per property.
Detailed Findings

Investors in Queens consistently purchase properties at a lower price point than traditional homeowners. In the first quarter of 2026, landlords paid an average of $920,056, which is $64,634, or 6.6%, less than the $984,690 paid by homeowners.

This pricing advantage for landlords has not been static; it has widened over the past year. The discount grew from 3.8% ($37,480) in Q2 2025 to 5.4% ($53,464) in Q3 2025, before reaching the current 6.6% gap, indicating an increasing ability for investors to secure favorable prices.

Property values have shown consistent appreciation since the pandemic era. The average acquisition price for landlords has climbed from $831,300 during the 2020-2023 period to $920,056 in Q1 2026, an increase of over 10%.

Comparing year-over-year, landlord acquisition prices rose from an average of $897,069 in 2024 to $920,807 in 2025, demonstrating sustained market growth and equity gains for existing investor portfolios.

The consistent discount across multiple quarters suggests that investors leverage different strategies, such as off-market acquisitions or targeting properties requiring renovation, to purchase assets below the typical retail price paid by traditional buyers.

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 38.8% of all SFR properties sold in Q4, totaling 488 homes.
Detailed Findings

Investor activity represented a major force in the Queens market during Q4 2025, with landlords purchasing 488 of the 1,258 single-family homes sold. This amounts to a significant 38.8% market share of all acquisitions for the quarter.

The purchasing activity was almost entirely driven by small-scale investors. Mom-and-pop landlords (owning 1-10 properties) acquired 488 homes, which represents 99.2% of all landlord purchases, underscoring their critical role in market dynamics.

New entrants flooded the market, with 618 new single-property landlord entities acquiring 453 homes. This segment alone accounted for 92.1% of all investor-bought properties, indicating a robust and growing base of first-time investors.

In stark contrast, institutional investors (1,000+ properties) had a negligible impact on the market, purchasing only one property in Q4. This demonstrates that large-scale corporate buying is not a significant factor in Queens.

The data reveals a clear market structure where the overwhelming majority of new rental inventory is being created by small, local investors, not large, out-of-state corporations.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) control an overwhelming 99.8% of investor-owned SFRs.
Detailed Findings

The investor landscape in Queens is unequivocally dominated by small-scale operators. Mom-and-pop landlords, defined as those owning 1-10 properties, control 99.8% of all investor-owned single-family homes, a near-total market share.

The concentration at the smallest end of the spectrum is even more pronounced. Landlords owning just a single property (Tier 01) make up the largest segment, holding 29,607 properties, or 95.1% of the entire investor portfolio.

This structure challenges the common narrative of corporate consolidation in residential housing. In Queens, the typical landlord is a small, local investor, not a large-scale institution.

The presence of institutional investors (1,000+ properties) is minimal to non-existent. This tier holds a combined total of only 13 properties, accounting for 0.0% of the investor market share.

Mid-size landlords (11-1,000 properties) also represent a very small fraction of the market, collectively owning just 58 properties. This further reinforces the market's reliance on small investors to provide rental housing.

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
Individuals dominate smaller portfolios, but companies become the majority owners at the 6-10 property tier.
Detailed Findings

Ownership structure in Queens shifts decisively as investors scale their portfolios. While individuals are the majority in smaller tiers, companies become the dominant owners starting at the 6-10 property level (Tier 04).

In the 1-property tier, individuals own 86.0% of homes (25,760 properties). This individual dominance continues through the 2-property tier (73.6%) and the 3-5 property tier (69.7%).

The crossover point occurs in the 6-10 property tier, where companies own a commanding 77.5% of the properties. This indicates a strategic shift towards incorporation as landlords move from being hobbyists to running a professional operation.

This pattern of corporate ownership continues in the next tier up (11-20 properties), where companies own 17 properties, or 68.0% of the homes in that segment.

This data illustrates a clear lifecycle for real estate investors in Queens: they typically start as individuals and then transition to a corporate structure to manage liability and finances as their portfolio grows beyond five properties.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is highly concentrated in Queens, with zip code 11357 leading in property count at 1,401.
Detailed Findings

Investor ownership in Queens is not evenly distributed, but rather concentrated in specific zip codes. The area with the highest raw number of investor-owned properties is 11357, with 1,401 homes, representing a 21.3% ownership rate.

Following closely are zip codes 11413 (1,230 properties, 19.4% rate), 11434 (1,205 properties, 21.9% rate), and 11412 (1,174 properties, 20.2% rate), which together with the leader show a clear geographic focus for investment.

While some areas lead by volume, others are defined by the intensity of investor penetration. The zip codes 11580 and 11217 show 100.0% investor ownership, indicating these are likely small areas with specialized housing, such as entire buildings owned by a single entity.

Another high-concentration area is 11430, where investors own 85.7% of the SFR properties, demonstrating near-total control of the local housing stock.

The data reveals two different types of investment hotspots: larger neighborhoods where investors have a strong presence (around 20% share) and smaller, niche areas where investor ownership is almost absolute.

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 were strong net buyers in Q1 with 663 purchases vs 50 sales, a 13.26x ratio.
Detailed Findings

The overall investor market in Queens is in a strong accumulation phase. In Q1 2026, landlords acted as decisive net buyers, purchasing 663 properties while selling only 50, resulting in a buy-to-sell ratio of 13.26 to 1.

This aggressive buying behavior is not a recent phenomenon. The trend was consistent throughout the previous two years, with landlords netting 3,119 properties in 2025 (3,392 buys vs. 273 sells) and 3,124 properties in 2024 (3,339 buys vs. 215 sells).

A critical divergence in strategy is apparent when looking at institutional investors. In Q1 2026, this 1,000+ property tier was a net seller, acquiring only one property while selling three. This is a reversal from their net buyer position in 2025 and 2024.

The retreat of institutional capital while the broader market continues to buy signals a potential shift in market sentiment at the highest level. Large investors may be taking profits or reallocating capital, while smaller investors remain bullish on the Queens market.

This dynamic, where smaller investors are absorbing inventory and expanding portfolios while the largest players are divesting, suggests the market's growth is being driven from the bottom up. This analysis is powered by comprehensive assessor data that tracks transaction history.

Current Quarter Transactions

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

Key Insight
Landlords were involved in 35.4% of all Q1 transactions, making 663 purchases.
Detailed Findings

Investors were a primary driver of transaction volume in Q1, participating in 35.4% of all single-family property sales. Landlords made a total of 663 purchases out of 1,872 total market transactions.

Activity was heavily concentrated among the smallest investors. Landlords in the 1-10 property tiers (mom-and-pop) accounted for 659 of the 663 investor transactions, or 99.4% of the total.

A stark pricing disparity exists between investor tiers, revealing different acquisition strategies. First-time, single-property buyers paid the most, with an average price of $924,538. In contrast, the single institutional purchase was for $346,000, a 62.6% discount compared to the smallest buyers.

This price difference suggests that larger investors target distressed or off-market assets that are unavailable or undesirable to smaller buyers, allowing them to acquire properties at a deep discount.

The market for inter-landlord trading is very thin. Only 4.7% of purchases made by single-property landlords came from another landlord, indicating that most new investors are buying from homeowners or other non-investor entities rather than from a liquid, investor-to-investor marketplace.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Queens real estate is dominated by small investors, who own 99.8% of rental homes and are actively buying while institutions sell.
Holdings
Landlords own 30,794 SFR properties in Queens, representing 20.9% of the county's market. Individual investors are the primary owners, holding 26,533 of these properties (86.2%) compared to 4,635 (15.1%) owned by companies.
Pricing
In Q1 2026, landlords demonstrated a distinct pricing advantage, paying an average of $920,056, which is 6.6% less ($64,634) than the $984,690 paid by traditional homeowners.
Activity
Investors were a major force in the Q4 2025 market, purchasing 488 properties for a 38.8% share of all sales. This activity was led by new entrants, with 618 new single-property landlords joining the market.
Market Share
The market is controlled by small landlords (1-10 properties), who own a staggering 99.8% of all investor-held housing. In contrast, institutional investors (1,000+ properties) own just 0.0% of the portfolio.
Ownership Type
Individual investors own the vast majority of smaller portfolios, but a clear strategic shift occurs at the 6-10 property tier, where companies become the majority owners with a 77.5% share.
Transactions
Landlords are aggressive net buyers, with a 13.26x buy-to-sell ratio in Q1 (663 buys vs. 50 sells). Conversely, institutional investors have become net sellers, divesting more properties than they acquired (1 buy vs. 3 sells).
Market Narrative

The single-family rental market in Queens, NY is fundamentally a story of the small, local investor. Landlords own 30,794 properties, comprising 20.9% of the county's total SFR housing stock. This portfolio is overwhelmingly controlled by mom-and-pop investors (1-10 properties), who hold a near-monopolistic 99.8% share. Individual operators, rather than corporations, form the bedrock of the market, owning 86.2% of all investor-held homes. The narrative of large institutions dominating residential real estate does not apply here; investors with over 1,000 properties own a statistically insignificant 0.0% of the market. This structure is further reinforced by the constant influx of new entrants, with 618 new single-property landlords entering the market in a single quarter.

Investor behavior in Queens reveals sophisticated, value-driven acquisition strategies alongside a clear divergence between large and small players. Landlords consistently purchase properties at a discount, paying 6.6% less than traditional homeowners in Q1 2026, a gap that has been widening. While the broad market remains in a phase of aggressive accumulation, with a collective 13.26-to-1 buy/sell ratio, the largest institutional players are retreating. In Q1, they became net sellers, a stark contrast to the smaller investors who continue to expand their portfolios. This indicates that while small investors remain bullish, institutional capital may be seeing better opportunities elsewhere or choosing to realize gains.

The key takeaway from this market report is that the health and growth of the Queens rental market are dependent on the activity of thousands of individual and small-scale investors. Their continued ability to find and finance deals, often at a discount to the retail market, provides the bulk of the area's rental housing. The retreat of institutional capital poses little threat to overall market stability due to their minuscule footprint. Instead, the defining trend is the persistent, ground-up growth driven by local entrepreneurs, a dynamic that shapes property values, competition, and rental availability across the county. These insights are derived from comprehensive property datasets that provide a granular view of ownership and transaction trends.

About This Report

Report Methodology

This report analyzes BatchData's Investor Pulse dataset, covering single-family residential (SFR) investor activity across the United States.

Data is extracted from 15 CSV files covering ownership, transactions, and pricing trends, then analyzed using AI-powered insights.

Property Counting Methodology:

Distinct Counts: All headline totals represent distinct properties. If 2+ landlords co-own the same property, it's counted only once. This provides accurate market representation.

Category Breakdowns: When analyzing by tier (01-09), owner type (Individual/Corporate), or occupancy status, properties with co-ownership across categories are counted once per category. This causes breakdowns to sum 2-4% higher than totals, and percentages may sum to 100-104%. This is expected and reflects co-ownership patterns.

Tier Properties Category
01-041-10Mom-and-Pop
05-0711-100Mid-Size
08101-1000Large
091000+Institutional
About BatchData

BatchData provides comprehensive real estate data and analytics, offering insights into property ownership, investor activity, and market trends across the United States.

The Investor Pulse dataset tracks single-family residential (SFR) investor behavior at national, state, county, and MSA levels.

For more information, visit batchdata.io or explore our API documentation.

Data Freshness
Report Generated July 22, 2026 at 12:22 AM
Data Period Q1 2026
Geography Level County
Geography Queens (NY)
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Chart Section2 Coverage
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 Section11 Yoy Institutional
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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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How to cite this report

BatchData. (2026). Q1 2026 Queens (NY) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-ny-queens/. Licensed under CC BY-NC-ND 4.0.