Queen Anne's (MD) Investor Pulse Report (2026-Q1)

Real Estate comprehensive investment analysis of investor activity in the Queen Anne's (MD) single-family residential housing market. Discover ownership trends, transaction patterns, and market insights.

Market Overview

Total SFR Properties in Queen Anne's (MD)
17,562
Total Investors in Queen Anne's (MD)
2,754
Investor Owned SFR in Queen Anne's (MD)
2,043(11.6%)
Individual Landlords
Landlords
2,421
SFR Owned
1,678
Corporate Landlords
Landlords
333
SFR Owned
427
Understanding Property Counts

Distinct Count Methodology: The total 2,043 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 Queen Anne's County, Securing Major Discounts in Q1
Investors own 11.6% of Single-Family homes in Queen Anne's County, with small 'mom-and-pop' landlords controlling a staggering 95.3% of that portfolio. In Q1 2026, investors reversed recent trends by purchasing properties at a 35.5% discount compared to homeowners. While the overall market sees landlords as net buyers, institutional investors show signs of neutral or divesting activity.
Landlord Owned Current Holdings
Investors own 2,043 SFR properties, with individuals comprising 82.1% of all holdings.
The majority of investor-owned properties are held free-and-clear, with 1,219 cash properties versus 824 financed. A total of 1,982 properties are rented, representing 97.0% of the investor portfolio and signaling a strong focus on rental income.
Landlord vs Traditional Homeowners
Landlords secured a 35.5% discount in Q1, paying $216,783 less than homeowners.
This marks a dramatic reversal from 2025, where landlords consistently paid premiums, including a 22.9% premium in Q2. In Q1 2026, landlords paid an average of $393,887, while traditional homeowners paid $610,670.
Current Quarter Purchases
Landlords purchased 13.9% of all SFR properties sold in the last quarter of 2025.
Mom-and-pop landlords (1-10 properties) dominated buying activity, accounting for 18 of the 21 investor purchases (85.7%). New, single-property landlords were the most active group, acquiring 13 properties (61.9% of the investor total).
Ownership by Tier
Mom-and-pop landlords control a commanding 95.3% of investor-owned SFRs.
Single-property landlords alone own 1,656 homes, representing 78.4% of the entire investor portfolio. Institutional investors with over 1,000 properties have a minimal footprint, owning just 6 properties, or 0.3% of the total.
Ownership by Tier & Type
Companies become majority owners in portfolios of 11+ properties, a clear crossover point.
While individuals dominate smaller tiers, owning 86.3% of single-property portfolios, companies control 94.4% of properties in the 11-20 unit tier. This shows a distinct shift to corporate structures for larger-scale operations.
Geographic Distribution
The 21666 zip code has the highest count of investor properties with 569 units.
However, the highest concentration is in the 21628 zip code, where investors own 41.4% of all SFRs. The top 5 zip codes by count hold a combined 1,502 properties, representing 73.5% of all investor holdings in the county.
Historical Transactions
Landlords in Queen Anne's County are strong net buyers, acquiring 4 properties for every 1 they sell.
In Q1 2026, landlords bought 24 homes and sold only 6. In contrast, institutional investors were neutral, with one purchase and one sale, after being net sellers in 2024.
Current Quarter Transactions
Investors were involved in 11.1% of all Q1 transactions, with major price differences by tier.
The institutional investor in Q1 paid $225,610 for a property, a 49.3% discount compared to the $444,643 average paid by new, single-property landlords. Mom-and-pop investors accounted for 21 of the 24 landlord transactions.

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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 2,043 SFR properties, with individuals comprising 82.1% of all holdings.
Detailed Findings

In Queen Anne's County, investors hold a significant 2,043 Single-Family Residential (SFR) properties, accounting for 11.6% of the total 17,562 SFRs in the market. This demonstrates a notable investor presence in the local housing landscape.

Individual investors are the backbone of the rental market, owning 1,678 properties, or 82.1% of the investor-owned housing stock. In contrast, company-owned portfolios consist of 427 properties (20.9%), highlighting the dominance of smaller, non-corporate landlords.

A strong indicator of financial stability among local investors is the preference for cash ownership. Landlords own 1,219 properties outright, compared to 824 that are financed. This 1.5-to-1 cash-to-financed ratio suggests many investors have low leverage and high equity in their portfolios.

The investor market in Queen Anne's County is overwhelmingly focused on rentals. Of the 2,043 investor-owned properties, 1,982 are confirmed rented, a penetration of 97.0%. This high rental rate underscores the primary strategy of generating long-term rental income rather than short-term flips.

The landlord landscape is composed of 2,754 distinct entities, with 2,421 individuals and 333 companies. This means individual landlords outnumber corporate landlords by more than 7-to-1, reinforcing the 'mom-and-pop' character of the county's investor base. Accurate analysis of these owners often requires access to comprehensive property datasets.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords secured a 35.5% discount in Q1, paying $216,783 less than homeowners.
Detailed Findings

A dramatic shift in acquisition strategy occurred in Q1 2026, with landlords paying an average price of just $393,887 per property. This was 35.5% less than the $610,670 paid by traditional homeowners, resulting in a substantial average discount of $216,783 per home.

This Q1 discount represents a complete reversal of recent pricing trends. Throughout 2025, landlords consistently paid more than homeowners, with premiums reaching as high as 22.9% ($145,343) in Q2 and 21.7% ($128,371) in Q3. The sudden shift to deep discounts suggests investors are finding and acting on undervalued opportunities.

The price appreciation from the pandemic era (2020-2023 average of $605,926) to the peak in 2025 was significant. For instance, the average Q2 2025 landlord price of $779,282 represents a 28.6% increase over the pandemic-era average, highlighting the rapid value growth in the market before the recent Q1 2026 correction in investor pricing.

The data does not show any acquisitions for several timeframes, including all of 2024 and parts of 2025, which may indicate data gaps or periods of inactivity. However, the available quarterly data for 2025 and Q1 2026 clearly illustrates a volatile pricing environment where investor premiums have suddenly flipped to major discounts.

This pricing inversion is the most significant trend, signaling that investors in early 2026 became highly disciplined, possibly targeting distressed assets or off-market deals to achieve prices far below what typical buyers were paying. This contrasts sharply with the competitive, premium-paying environment of the prior year, a shift that an automated valuation (AVM) might not capture without context.

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 purchased 13.9% of all SFR properties sold in the last quarter of 2025.
Detailed Findings

In the final quarter of 2025, landlords acquired 21 of the 151 total SFRs sold in Queen Anne's County, capturing a 13.9% market share of all purchases. This activity demonstrates a steady and continued interest from investors in growing their local portfolios.

The acquisition market is heavily skewed towards small-scale investors. Mom-and-pop landlords (owning 1-10 properties) were responsible for 85.7% of all investor purchases, acquiring 18 properties. In stark contrast, institutional investors (1000+ properties) made just one purchase, representing only 4.8% of investor activity.

New entrants are a primary driver of market activity. The single-property tier saw 16 new landlord entities acquire 13 properties, making up 61.9% of all investor purchases. This influx of first-time landlords highlights the accessibility of the local market for new investors.

Mid-size investors also showed targeted activity. Landlords in the 11-20 and 51-100 property tiers each acquired one property, representing 4.8% of the quarterly total for each group. This indicates that while small investors dominate, established landlords continue to expand opportunistically.

The data clearly shows that the growth in investor-owned housing is not being driven by large corporations but by individual community members. The fact that 16 new real estate investor entities entered the market with their first property in a single quarter is a testament to the grassroots nature of investment in Queen Anne's County.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords control a commanding 95.3% of investor-owned SFRs.
Detailed Findings

The ownership structure in Queen Anne's County is overwhelmingly dominated by small-scale landlords. Investors owning 1-10 properties (Tiers 01-04) control 95.3% of all investor-held SFRs, a figure that challenges the narrative of corporate dominance in residential real estate.

First-time or single-property landlords (Tier 01) form the largest segment, owning 1,656 properties. This accounts for 78.4% of all investor-owned homes, making this group the most critical component of the local rental market. Their collective impact is far greater than any other tier.

In contrast, institutional investors (Tier 09, 1000+ properties) have a negligible presence in the county. Their portfolio consists of just 6 properties, which is only 0.3% of the total investor-owned stock. This demonstrates that large-scale corporate investment is not a significant factor in this market.

Mid-size landlords (11-1000 properties) also hold a relatively small share. Tiers 05 through 08 collectively own 94 properties, which amounts to just 4.4% of the investor portfolio. This further reinforces the market's reliance on smaller, local investors.

This distribution, detailed in reports similar to a property ownership by owner type report, shows a highly fragmented market. The power lies not with a few large entities but with thousands of individual owners, suggesting a more stable and community-integrated rental landscape.

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 majority owners in portfolios of 11+ properties, a clear crossover point.
Detailed Findings

A clear dividing line exists between individual and company ownership based on portfolio size. While individuals dominate the smaller tiers, companies become the majority owners starting in the 11-20 property tier, where they hold 17 of 18 properties (94.4%).

In the smallest tiers, individual ownership is paramount. For single-property portfolios, individuals own 1,475 homes (86.3%) versus 235 for companies. This pattern continues through the 6-10 property tier, where individuals still hold a 57.4% majority.

The transition to corporate ownership is stark for larger portfolios. In the 101-1000 property tier, companies own 9 out of 10 properties (90.0%). This suggests that as investors scale, they increasingly adopt formal business structures for liability and operational efficiency.

Even within company-dominated tiers, some individuals maintain large portfolios under their own names. For example, one individual owns a property in the 101-1000 tier and another in the 11-20 tier, showing that personal ownership at scale, while rare, is not impossible.

This ownership pattern reveals different strategies. Individuals drive the high-volume, small-portfolio market, while companies focus on building larger, more centralized portfolios. The crossover at 11 properties serves as a key benchmark for when investment strategies and ownership structures typically professionalize in this market.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
The 21666 zip code has the highest count of investor properties with 569 units.
Detailed Findings

Investor activity in Queen Anne's County is highly concentrated geographically. The top five zip codes by property count (21666, 21619, 21617, 21638, 21620) collectively contain 1,502 investor-owned SFRs, which is 73.5% of the total investor portfolio in the county.

The zip code 21666 leads by sheer volume, with 569 investor-owned properties. However, this only represents an 11.1% ownership rate for that area, indicating it's a large market overall. This is a crucial distinction for investors using a property search tool to find opportunities.

For the highest market penetration, the 21628 zip code stands out dramatically. Here, investors own 41.4% of the housing stock, making it the most investor-dominated area by rate. This suggests a market heavily characterized by rental properties.

There is a clear difference between areas with the highest counts and those with the highest rates. For example, 21617 is third for total count (242 properties) but has a relatively low ownership rate of 6.9%. Conversely, 21628 has the highest rate (41.4%) but is not in the top five for total count, indicating it is a smaller, more saturated market.

This geographic analysis reveals distinct investment zones. Some zip codes offer scale (like 21666), while others offer high rental density (like 21628). This highlights the importance of localized data for identifying specific types of investment opportunities across the county.

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 in Queen Anne's County are strong net buyers, acquiring 4 properties for every 1 they sell.
Detailed Findings

The overall investor market in Queen Anne's County shows a strong trend of accumulation. In Q1 2026, landlords were aggressive net buyers, purchasing 24 SFR properties while selling only 6, a buy-to-sell ratio of 4-to-1. This pattern of net buying has been consistent, with 161 buys vs. 44 sells in 2025 and 221 buys vs. 47 sells in 2024.

Institutional investors (1000+ tier) exhibit a much different, more cautious strategy. In Q1 2026, they were perfectly balanced with one purchase and one sale. This follows a year in 2024 where they were net sellers (1 buy vs. 4 sells), indicating a strategy of portfolio trimming or repositioning rather than aggressive expansion.

While the broader landlord market is accumulating properties, the largest players are not driving this growth. The data suggests that the net increase in investor-owned housing is fueled almost exclusively by mom-and-pop and mid-size landlords, while institutional capital remains flat or is slightly retracting from the area.

This divergence in behavior highlights two separate markets: a dynamic, high-volume acquisitions market for smaller investors and a slow, methodical one for institutions. The smaller investors are clearly fueling the demand and liquidity in the county's investment property sector.

The transaction history reveals a healthy market where smaller investors are actively growing their portfolios, a positive sign for local rental supply. The minimal and sometimes negative net acquisition from institutions suggests their national strategy may not currently prioritize expansion in this specific county.

Current Quarter Transactions

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

Key Insight
Investors were involved in 11.1% of all Q1 transactions, with major price differences by tier.
Detailed Findings

In Q1 2026, landlords participated in 24 of the 217 total SFR transactions, capturing an 11.1% share of all market activity. This confirms investors as a consistent and active segment of buyers in Queen Anne's County.

A massive price gap exists between the smallest and largest investors. Single-property landlords paid the most, with an average purchase price of $444,643 across 16 transactions. In contrast, the single institutional purchase was secured for just $225,610, representing a 49.3% discount compared to the new entrants.

This pricing disparity suggests vastly different acquisition strategies. New mom-and-pop investors may be buying market-rate, move-in-ready homes, possibly through traditional channels. The institutional buyer, however, likely acquired a distressed or off-market property, allowing for a significantly lower purchase price, a common source for which is pre-foreclosure data.

Trading between investors is a notable feature of the market, especially for established small landlords. In the 3-5 and 6-10 property tiers, 50% of purchases in Q1 were from other landlords. This indicates a liquid secondary market where investors sell assets to one another.

Mom-and-pop investors (Tiers 01-04) dominated transaction volumes, conducting 21 of the 24 landlord deals (87.5%). This aligns with ownership data, proving that small investors are not just the primary holders of property but also the main drivers of transactional activity.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Small 'mom-and-pop' investors control 95.3% of rental homes in Queen Anne's County and are expanding as institutions hold steady.
Holdings
Landlords own 2,043 SFR properties, representing 11.6% of Queen Anne's County's market. Individual investors are the dominant force, holding 1,678 of these properties (82.1%) compared to 427 (20.9%) owned by companies.
Pricing
In a sharp market reversal, landlords paid 35.5% less than traditional homeowners in Q1 2026, securing an average discount of $216,783 per property ($393,887 vs. $610,670).
Activity
Investors purchased 13.9% of homes sold in the last quarter, with activity driven by small buyers. A total of 16 new single-property landlords entered the market, acquiring 61.9% of all investor-purchased properties.
Market Share
The rental market is defined by small investors, as mom-and-pop landlords (1-10 properties) control 95.3% of investor housing. Institutional investors (1000+) own a mere 0.3% share.
Ownership Type
Individual investors overwhelmingly own smaller portfolios, but companies become the majority owners in portfolios of 11 or more properties, controlling 94.4% of homes in that tier.
Transactions
Landlords are strong net buyers with a 4-to-1 buy/sell ratio in Q1 (24 buys vs. 6 sells), but institutional investors were neutral, with one purchase and one sale, signaling a different strategy.
Market Narrative

In Queen Anne's County, the story of real estate investing is one of community-level participation, not corporate consolidation. Investors own 2,043 single-family homes, or 11.6% of the total market, a significant but not overwhelming share. The defining characteristic of this market is its ownership structure: individual, 'mom-and-pop' landlords (1-10 properties) control a staggering 95.3% of all investor-owned housing. In contrast, institutional firms with over 1,000 properties have a negligible footprint of just 0.3%, or 6 homes. This distribution firmly places the local rental market in the hands of small-scale operators.

Investor behavior in the first quarter of 2026 marked a pivotal shift in pricing strategy. After a period of paying premiums in 2025, landlords began securing properties at a massive 35.5% discount compared to traditional homeowners, saving an average of $216,783 per purchase. This newfound discipline coincides with continued market expansion, as landlords overall acted as strong net buyers with a 4-to-1 buy-to-sell ratio. However, this growth is fueled exclusively by smaller investors, as institutional players were neutral or net sellers over the past year, indicating a strategic pause or divestment from the area.

The key takeaway from this Investor Pulse reports is the resilience and dominance of the small landlord in Queen Anne's County. They are not only the primary providers of rental housing but also the most active participants in the market, consistently acquiring properties and driving transactional volume. The narrative of institutional takeover does not apply here; instead, the data reveals a fragmented, localized, and highly active market sustained by thousands of individual investors making independent decisions. This structure suggests a rental market that is deeply integrated with the community rather than controlled by outside financial forces.

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 06:43 PM
Data Period Q1 2026
Geography Level County
Geography Queen Anne's (MD)
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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 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
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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.

You MAY NOT: Use this data commercially, resell or redistribute it as your own, or publish modified versions.

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Creative Commons BY-NC-ND 4.0 - creativecommons.org/licenses/by-nc-nd/4.0/

How to cite this report

BatchData. (2026). Q1 2026 Queen Anne's (MD) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-md-queen_anne's/. Licensed under CC BY-NC-ND 4.0.