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

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

Market Overview

Total SFR Properties in Ontario (NY)
31,722
Total Investors in Ontario (NY)
4,556
Investor Owned SFR in Ontario (NY)
4,114(13.0%)
Individual Landlords
Landlords
3,986
SFR Owned
3,380
Corporate Landlords
Landlords
570
SFR Owned
832
Understanding Property Counts

Distinct Count Methodology: The total 4,114 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 Ontario County with 93.5% ownership, driving half of all home sales.
Investors own 4,114 SFR properties in Ontario County (13.0% of the market), with mom-and-pop landlords controlling a staggering 93.5% versus 0.0% for institutional firms. In Q1 2026, landlords shifted from securing discounts to paying a 16.5% premium over homeowners, fueling their net-buyer position with an 8.25x buy-to-sell ratio.
Landlord Owned Current Holdings
Landlords hold 4,114 properties in Ontario County, with individuals owning 82.2%.
Cash purchases dominate investor portfolios, with 2,759 properties owned outright compared to 1,355 financed. Individual investors comprise the vast majority of landlords at 3,986 entities versus 570 for companies, reinforcing the market's mom-and-pop character.
Landlord vs Traditional Homeowners
Landlords paid a 16.5% premium over homeowners in Q1, averaging $343,949.
This $48,650 premium is a sharp reversal from early 2025, when landlords secured discounts as high as 18.6% ($60,576). The pricing dynamic is highly volatile, shifting from deep discounts to significant premiums within a single year.
Current Quarter Purchases
Landlords acquired nearly half of all homes sold in Q4 2025, capturing 49.2% of market purchases.
Mom-and-pop landlords accounted for 100% of these 95 acquisitions, with institutional investors completely absent. The market saw an influx of 93 new single-property landlords during the quarter, signaling strong grassroots interest.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) overwhelmingly control the market, owning 93.5% of investor SFRs.
Single-property landlords alone account for a massive 84.0% of all investor-owned housing. Institutional investors with over 1,000 properties have zero presence in Ontario County, challenging narratives of corporate dominance.
Ownership by Tier & Type
Companies become the majority owners at the 6-10 property tier, signaling a professionalization threshold.
While individuals own 87.2% of single-property rentals, their share drops to 45.2% in the 6-10 property tier. By the 21-50 property tier, companies control a dominant 68.7% share, showing a clear shift as portfolios grow.
Geographic Distribution
Investor activity is highly concentrated, with zip code 14424 holding 1,259 investor-owned properties.
Zip code 14461 shows an extreme 100% investor ownership rate, suggesting a unique, small-scale market. High-activity areas like 14471 (32.5% rate) and 14512 (22.7% rate) appear on both the top-count and top-percentage lists.
Historical Transactions
Landlords are aggressive net buyers, acquiring 8.25 properties for every one they sold in Q1 2026.
This strong buying trend is consistent, with a buy-to-sell ratio of 6.84x throughout 2025. In contrast, institutional investors have been effectively neutral, with one purchase and one sale in 2024 and no activity since.
Current Quarter Transactions
Investors drove 48.3% of all Q1 2026 market transactions, making 99 purchases.
First-time landlords buying their first property paid an average of $345,008. In contrast, small landlords in the 6-10 property tier acquired properties for an anomalously low average of $78,178. Just 8.1% of investor purchases were from other landlords.

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Current Holdings Portfolio

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

Chart Section5 Holdings
Key Insight
Landlords hold 4,114 properties in Ontario County, with individuals owning 82.2%.
Detailed Findings

In Ontario County, investors own a total of 4,114 single-family residential properties, which constitutes 13.0% of the total 31,722 SFRs in the market. This reflects a significant, but not majority, investor presence in the local housing landscape.

The ownership structure is overwhelmingly tilted towards individual investors. These smaller-scale landlords own 3,380 properties, or 82.2% of the investor-owned portfolio, compared to the 832 properties (20.2%) held by companies. This dynamic challenges the narrative of a market dominated by large corporations.

When examining the number of landlord entities, the pattern is even more pronounced. There are 3,986 individual landlords compared to just 570 company landlords, meaning individuals represent 87.5% of all investor entities in the county. This highlights a broad base of small-scale real estate investing activity.

Investor portfolios in Ontario County are heavily weighted towards cash ownership. A total of 2,759 properties (67.1%) were acquired with cash, while 1,355 (32.9%) are financed. This suggests many investors have significant capital and are less reliant on leverage or mortgage transaction data for their acquisitions.

The vast majority of investor-owned properties are utilized as rentals. Out of the 4,114 properties in the portfolio, 4,068 are classified as rented, underscoring the primary goal of these investments: generating rental income within the community.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords paid a 16.5% premium over homeowners in Q1, averaging $343,949.
Detailed Findings

In a surprising market reversal, landlords paid significantly more than traditional homeowners in Q1 2026. The average landlord acquisition price was $343,949, a 16.5% premium over the homeowner average of $295,299. This represents a substantial $48,650 price gap, indicating intense competition for properties.

This trend marks a dramatic shift from the previous year. In Q1 2025, landlords enjoyed an 18.6% discount, paying $60,576 less than homeowners. The market then fluctuated, with landlords securing a 6.7% discount in Q2 2025 before flipping to a 23.7% premium in Q3 2025.

The extreme volatility in the landlord-to-homeowner price gap suggests a highly dynamic and competitive market. Landlords are moving from opportunistic, below-market purchases to aggressive, above-market acquisitions, likely driven by low inventory or a strong belief in future appreciation.

Overall price trends also show significant appreciation. The average landlord acquisition price during the 2020-2023 period was $308,199. The Q1 2026 average of $343,949 represents an 11.6% increase from that baseline, highlighting the growth in property values in Ontario County.

While recent quarters show no recorded property purchases, the price data indicates a market where investors are willing to pay what it takes to acquire assets. This aggressive pricing strategy could put additional pressure on traditional homebuyers trying to compete for limited housing stock.

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 nearly half of all homes sold in Q4 2025, capturing 49.2% of market purchases.
Detailed Findings

Investor activity surged in Q4 2025, with landlords purchasing 95 of the 193 SFR properties sold in Ontario County. This 49.2% market share demonstrates that nearly one out of every two homes was acquired by an investor during this period.

The acquisition activity was entirely driven by smaller investors. Mom-and-pop landlords, defined as those owning 1-10 properties, made up 100% of the 96 properties purchased by investors. Institutional investors (1,000+ properties) had zero purchasing activity, reinforcing their absence from this market.

New entrants are a powerful force in the local market. The single-property tier saw 93 distinct entities purchase 90 properties. This indicates a wave of new landlords entering the rental market for the first time, a key trend shaping the ownership landscape.

Beyond new entrants, existing small landlords also expanded their portfolios. The two-property tier added 4 properties across 4 entities, while one entity in the 6-10 property tier acquired 2 properties.

The complete dominance of mom-and-pop buyers in Q4 highlights a decentralized acquisition market. The growth is not coming from large corporations but from local individuals and small businesses expanding their holdings or making their first rental property purchase.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) overwhelmingly control the market, owning 93.5% of investor SFRs.
Detailed Findings

The investor landscape in Ontario County is defined by small, independent landlords. Mom-and-pop investors (owning 1-10 properties) collectively own 93.5% of all investor-held SFRs, demonstrating a highly decentralized market structure.

The single-property tier is the bedrock of the rental market, with these landlords owning 3,488 properties. This represents 84.0% of the entire investor-owned portfolio, indicating that the typical investor is an individual with one rental home, not a large corporation.

In stark contrast, institutional investors (Tier 09, 1,000+ properties) have no ownership stake in Ontario County. Their 0.0% market share underscores that the national trend of large-scale institutional investment has not penetrated this specific local market.

Mid-size landlords (11-1,000 properties) hold a relatively small portion of the market. The combined share of these tiers is just 6.5%, with the most significant slice being the 51-100 property tier, which holds 173 properties (4.2%).

This distribution reveals that the conversation around rental housing in Ontario County should focus on the behavior and needs of small-scale landlords. Policies and market analysis must account for the fact that the vast majority of rental homes are provided by individuals and small businesses, not faceless institutions.

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 owners at the 6-10 property tier, signaling a professionalization threshold.
Detailed Findings

A distinct crossover point exists where companies surpass individuals as the dominant owner type. This threshold occurs in the 6-10 property tier (Tier 04), where companies own 54.8% of properties compared to 45.2% for individuals. This suggests that as landlords scale beyond a handful of properties, they tend to incorporate.

At the smaller end of the spectrum, individual ownership is supreme. Individuals own 87.2% of single-property portfolios and 70.3% of portfolios in both the 2-property and 3-5 property tiers. This reinforces the mom-and-pop nature of the entry-level rental market.

As portfolio sizes increase, company ownership becomes progressively more dominant. In the 11-20 property tier, companies own 62.5% of the homes. This figure climbs to 68.7% in the 21-50 property tier, indicating a strong correlation between portfolio size and a corporate ownership structure.

This pattern highlights different operational strategies. Individuals are the primary force for smaller portfolios, likely managing properties themselves. The shift to a company structure at the 6-10 property level often corresponds with a more professionalized approach to property management, financing, and liability protection.

Understanding this transition is crucial for anyone analyzing the market. It shows a clear path of maturation for a real estate investor, from an individual side-business to a structured company, with the tipping point happening around the sixth property.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is highly concentrated, with zip code 14424 holding 1,259 investor-owned properties.
Detailed Findings

Investor ownership in Ontario County is not evenly distributed but is instead highly concentrated in specific zip codes. The 14424 zip code is the epicenter of investor activity by volume, with 1,259 investor-owned properties, representing 15.3% of its housing stock.

When analyzing by ownership rate, different areas emerge as hotspots. The 14461 zip code stands out with a 100% investor ownership rate, indicating a market likely comprised of specialized housing or a very small number of total properties. More broadly, areas like 14544 (33.9%) and 14471 (32.5%) show extremely high investor penetration.

Some zip codes demonstrate both high volume and high penetration, signaling significant investor focus. For instance, 14471 is fourth for total investor properties (370) and third for ownership rate (32.5%). Similarly, 14512 is fifth by count (260) and fourth by rate (22.7%), making these areas prime targets for a property search.

The top five zip codes by investor property count (14424, 14456, 14564, 14471, 14512) collectively contain 3,196 investor-owned homes. This accounts for 77.7% of all investor properties in the county, showcasing an immense geographic concentration of rental housing.

This data reveals that an investor's strategy and success in Ontario County may depend heavily on geographic focus. Understanding the dynamics within these key zip codes is critical, as the market behaves differently from one neighborhood to the next. Such granular detail can be explored further with comprehensive assessor data.

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
Key Insight
Landlords are aggressive net buyers, acquiring 8.25 properties for every one they sold in Q1 2026.
Detailed Findings

Landlords in Ontario County are in a phase of strong portfolio accumulation. In Q1 2026, they purchased 99 properties while selling only 12, resulting in a buy-to-sell ratio of 8.25x and a net gain of 87 properties. This demonstrates overwhelming confidence in the local market.

This aggressive net-buyer stance is not a new phenomenon. Across all of 2025, landlords maintained a robust 6.84x buy-to-sell ratio, acquiring 588 homes and selling just 86. The trend was even stronger in 2024, with a net acquisition of 203 properties.

The institutional investor tier (1,000+ properties) displays a completely different behavior. Their only recorded activity was in 2024, when they bought one property and sold one property, resulting in a net-neutral position. They have been entirely inactive in the market since.

The data clearly shows that the growth in investor ownership is being fueled exclusively by small and mid-sized landlords, not large institutions. While the broader landlord market is in expansion mode, the largest players are on the sidelines.

This divergence in strategy is a key market dynamic. The sustained, high-volume buying from mom-and-pop and mid-size investors signals a long-term belief in the Ontario County rental market, a belief not currently shared by institutional capital.

Current Quarter Transactions

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

Key Insight
Investors drove 48.3% of all Q1 2026 market transactions, making 99 purchases.
Detailed Findings

Landlords were a dominant force in the Q1 2026 market, participating in 99 of the 205 total SFR transactions. This 48.3% share indicates that investors were on one side of the deal in nearly half of all home sales, highlighting their significant impact on market liquidity and pricing.

Pricing strategies varied dramatically across different investor tiers. New landlords in the single-property tier paid an average of $345,008 for their 93 acquisitions. Meanwhile, investors in the two-property tier paid a higher average of $452,475, suggesting they may be targeting larger or more premium properties.

An anomaly appears in the 6-10 property tier, where the average purchase price was just $78,178. This is substantially lower than other tiers and suggests these two transactions may have been for distressed properties, land, or other non-traditional SFR assets.

The market for inter-landlord transactions remains small. Only 8.6% of the properties purchased by single-property investors were acquired from other landlords. With no landlord-to-landlord sales in other tiers, the overall rate was just 8.1%, indicating that most investors are buying from homeowners, builders, or banks.

The transaction data confirms that Q1 activity was driven entirely by mom-and-pop investors. No transactions were recorded for any tier above the 6-10 property level, reinforcing the theme of a market powered by small, independent operators.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Mom-and-Pop investors dominate Ontario County with 93.5% ownership, driving half of all home sales.
Holdings
Landlords own 4,114 SFR properties, 13.0% of the market in Ontario County, with individual investors holding 3,380 (82.2%) and companies owning 832 (20.2%).
Pricing
In a market reversal, landlords paid a 16.5% premium over homeowners in Q1 2026, an average of $48,650 more per property ($343,949 vs $295,299).
Activity
Investors purchased 49.2% of all homes sold in Q4 2025, with 93 new single-property landlords entering the market and zero institutional buyers.
Market Share
Small landlords (1-10 properties) control 93.5% of investor housing, while institutional investors (1000+) have no ownership stake in the county.
Ownership Type
Individual investors dominate smaller portfolios, but companies take majority control in portfolios starting at the 6-10 property tier.
Transactions
Landlords are aggressive net buyers with an 8.25x buy-to-sell ratio in Q1 2026 (99 buys vs 12 sells), while institutional investors remain inactive.
Market Narrative

The single-family rental market in Ontario County, New York, is fundamentally a story of the small, independent investor. Landlords own 4,114 SFR properties, representing 13.0% of the county's total housing stock. This portfolio is overwhelmingly controlled by mom-and-pop landlords (1-10 properties), who own a staggering 93.5% of all investor-held homes. Individual investors make up the bulk of this group, holding 82.2% of properties, while institutional firms with over 1,000 homes have zero presence. This decentralized structure challenges common narratives, revealing a market powered by local capital and small-scale enterprise.

Investor behavior in Ontario County is aggressive and expansion-oriented. In the most recent activity, landlords acquired nearly half (49.2%) of all homes sold and were involved in 48.3% of all transactions. This activity is fueled by a strong net-buyer position, with investors in Q1 2026 acquiring 8.25 homes for every one they sold. In a significant market shift, these buyers are now paying a premium, averaging 16.5% more than traditional homeowners in Q1. This contrasts sharply with early 2025 when they secured deep discounts, signaling heightened competition and a bullish outlook on the local market's future.

The key takeaway from this market reports dashboard is that the health and direction of Ontario County's rental market are tied to the actions of thousands of individual and small business owners, not a handful of large corporations. While individuals dominate entry-level investing, a clear professionalization trend emerges as portfolios grow, with companies becoming the majority owners at the 6-10 property level. This dynamic, combined with intense acquisition activity and a focus on specific geographic pockets like the 14424 zip code, defines a vibrant, competitive, and distinctly local real estate investment landscape.

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 12:20 AM
Data Period Q1 2026
Geography Level County
Geography Ontario (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
Chart Section6 Prices Alt
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Chart Section6 Yoy Comparison
Chart Section6 Yoy Comparison
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Chart Section6 Trends
Chart Section6 Trends
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Chart Section7 Purchases
Chart Section7 Purchases
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Chart Section7 Tiers
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
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
Chart Section9 Ownership
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Chart Section9 Growth
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Chart Section9 Growth Q4
Chart Section9 Growth Q4
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Chart Section9 Yoy Comparison
Chart Section9 Yoy Comparison
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Chart Section10 Top Regions
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Chart Section10 Top Pct
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Chart Section11 Buysell
Chart Section11 Buysell
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Chart Section11 Buysell Price
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Chart Section11 Yoy All Landlords
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
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

This report, data, and all visual analyses are the property of BatchData © 2026 BatchService, Inc. and are licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0).

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.

For commercial licensing: batchdata.io/contact-sales

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

How to cite this report

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