Quay (NM) Investor Pulse Report (2026-Q1)

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

Market Overview

Total SFR Properties in Quay (NM)
3,724
Total Investors in Quay (NM)
1,850
Investor Owned SFR in Quay (NM)
1,652(44.4%)
Individual Landlords
Landlords
1,733
SFR Owned
1,528
Corporate Landlords
Landlords
117
SFR Owned
142
Understanding Property Counts

Distinct Count Methodology: The total 1,652 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

Small Landlords Dominate Quay County, NM with 96.6% Ownership as the Lone Institutional Player Divests
Investors own a significant 44.4% of all single-family residential properties in Quay County, with small mom-and-pop landlords (1-10 properties) controlling an overwhelming 96.6% of that portfolio. In Q1 2026, landlords were aggressive net buyers, acquiring property while the county's single institutional-scale investor was a net seller. Pricing data showed extreme volatility due to low transaction volumes.
Landlord Owned Current Holdings
Investors own 1,652 homes, 44.4% of Quay County's SFR market, with individuals holding 92.5%.
The vast majority of investor-owned properties, 1,436 homes, are held free and clear with no financing. Individual investors make up 1,733 of the 1,850 total landlords, demonstrating a market driven by small-scale owners.
Landlord vs Traditional Homeowners
Landlord vs homeowner pricing in Q1 was skewed by a single outlier, showing landlords paying a 581.6% premium.
Price comparisons across recent quarters are highly erratic due to low transaction volumes, swinging from a 55.8% landlord discount in Q2 2025 to a 154.2% premium in Q1 2025. This volatility makes it difficult to establish a consistent pricing trend.
Current Quarter Purchases
Landlords acquired a majority 59.1% share of all properties sold in the last quarter.
Mom-and-pop landlords were responsible for 100% of investor purchases, acquiring all 26 properties. Activity was concentrated at the smallest scale, with 20 new single-property landlords entering the market.
Ownership by Tier
Mom-and-pop investors are the backbone of the market, controlling 96.6% of all investor-owned SFRs.
Single-property landlords alone own 1,225 homes, representing a massive 71.1% share of the entire investor portfolio. In stark contrast, institutional investors (1,000+ properties) own just a single property, a 0.1% share.
Ownership by Tier & Type
Individual investors are the dominant owners in nearly every tier, ceding majority control only in portfolios of 101+ properties.
In the core mom-and-pop tiers (1-10 properties), individuals own between 72.4% and 93.1% of the homes. The single large landlord (101-1000 properties) is a company, owning 80% of the properties in that tier.
Geographic Distribution
Investor ownership is highly concentrated, with two zip codes, 88401 and 88426, holding 90% of all investor properties.
While 88401 has the highest count of investor-owned homes (1,083), other zip codes have far higher penetration rates. Zip codes 88430 and 88426 show investor ownership rates of 72.7% and 64.2% respectively.
Historical Transactions
Landlords are aggressive net buyers with a 6.3x buy-to-sell ratio in Q1, while the sole institutional investor is a net seller.
This trend of strong net buying from small investors has been consistent, with a 13.5x buy-to-sell ratio in 2025 (149 buys vs 11 sells). The institutional investor's recent selling (1 buy vs 2 sells) marks a clear divergence from the broader market.
Current Quarter Transactions
Landlords dominated Q1 activity, participating in 60.3% of all market transactions, with mom-and-pop tiers driving the volume.
Pricing varied wildly by tier, with two-property landlords averaging an anomalous $1,463,000 per purchase, while new single-property investors averaged $187,782. The single institutional transaction was a landlord-to-landlord deal, showing strategic sourcing.

Want deeper insights tailored to your investment strategy?

TALK TO AN EXPERT

Current Holdings Portfolio

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

Chart Section5 Holdings
Key Insight
Investors own 1,652 homes, 44.4% of Quay County's SFR market, with individuals holding 92.5%.
Detailed Findings

In Quay County, NM, investors hold a substantial footprint, owning 1,652 single-family residential properties, which constitutes 44.4% of the total 3,724 SFRs in the market. This high penetration rate indicates a market heavily influenced by real estate investing activity.

The ownership structure is overwhelmingly dominated by individual investors rather than corporations. Individuals own 1,528 properties (92.5% of the investor portfolio), while companies own just 142 (8.6%).

This trend extends to the entity level, where 1,733 of the 1,850 distinct landlords (93.7%) are individuals. This contrasts sharply with the 117 company landlords, reinforcing the 'mom-and-pop' character of the local rental market.

A defining characteristic of this market is the prevalence of cash ownership. A remarkable 1,436 investor-owned properties are owned outright, compared to only 216 that are financed. This 6.6-to-1 cash-to-financed ratio suggests a market with low leverage and high equity among property owners.

The portfolio is clearly rental-focused, with 1,617 of the 1,652 properties identified as rented, underscoring the primary business objective of these holdings.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlord vs homeowner pricing in Q1 was skewed by a single outlier, showing landlords paying a 581.6% premium.
Detailed Findings

Acquisition pricing data in Quay County is marked by extreme volatility, likely due to a very low volume of transactions. In Q1 2026, a significant anomaly occurred where the average landlord acquisition price was $612,854, a staggering 581.6% premium over the traditional homeowner price of $89,917.

This Q1 2026 event appears to be a major outlier and not indicative of a market-wide trend. Looking at previous quarters reveals a fluctuating and inconsistent price gap. For example, in Q2 2025, landlords secured a deep 55.8% discount, paying $119,043 versus the homeowner average of $269,347.

Conversely, in other periods like Q1 2025 and Q3 2025, landlords paid premiums of 154.2% and 14.4% respectively. This dramatic see-sawing between deep discounts and high premiums underscores the unreliability of average pricing figures in a thinly traded market.

The lack of consistent purchasing activity, with zero properties acquired by landlords in several recent timeframes according to the data, further complicates trend analysis. The available data does not support a conclusion of a consistent landlord discount or premium.

Any analysis of pricing in this specific geography must be heavily caveated by the low sample sizes, which can be dramatically skewed by a single high-value or low-value transaction in any given quarter.

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 a majority 59.1% share of all properties sold in the last quarter.
Detailed Findings

Investor purchasing activity was incredibly strong in the last recorded quarter, with landlords acquiring 26 of the 44 total SFR properties sold. This represents a commanding 59.1% market share, indicating investors were the primary drivers of transaction volume.

The market's activity was exclusively fueled by small investors. Mom-and-pop landlords (Tiers 01-04) accounted for 100% of all investor purchases, with zero acquisitions made by mid-size or institutional players.

First-time or single-property investors were the most significant force, with 20 distinct entities purchasing 14 properties (53.8% of the landlord total). This signals a strong influx of new entrants into the local rental market.

The remaining acquisitions were also from small-scale landlords: investors in the two-property tier bought 7 homes (26.9%), those in the 3-5 property tier bought 4 homes (15.4%), and one investor in the 6-10 property tier bought a single home (3.8%).

This data confirms that market growth and property accumulation in Quay County are not being driven by large corporations but by a broad base of new and existing small-scale landlords.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop investors are the backbone of the market, controlling 96.6% of all investor-owned SFRs.
Detailed Findings

The ownership structure in Quay County is overwhelmingly dominated by small-scale investors. Mom-and-pop landlords, defined as those owning 1-10 properties, collectively hold 96.6% of all investor-owned SFRs.

The concentration is most extreme at the entry level. Landlords owning just a single property (Tier 01) make up the largest segment, controlling 1,225 homes, which is 71.1% of the entire investor portfolio.

As portfolio size increases, the number of properties held drops off dramatically. Landlords with 2 properties hold an 11.1% share, and those with 3-5 properties hold a 12.7% share. All other tiers combined own less than 4% of the market.

The presence of large-scale investors is negligible. Mid-size landlords (11-1000 properties) collectively own just 58 properties, or 3.4% of the total. This includes a single landlord in the 'Large' (101-1000) tier holding 5 properties.

Institutional ownership is virtually nonexistent. The 1,000+ property tier contains just one single property, accounting for a mere 0.1% of the investor market. This finding directly counters any narrative of a corporate takeover in this region, highlighting instead a market built almost entirely by small, local investors.

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

Need custom portfolio analysis based on these tier insights?

TALK TO AN EXPERT

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
Individual investors are the dominant owners in nearly every tier, ceding majority control only in portfolios of 101+ properties.
Detailed Findings

Individual investors form the foundation of property ownership across almost every portfolio size in Quay County. In the largest tier by property count, single-property landlords, individuals own 1,149 homes (93.1%) compared to just 85 owned by companies.

This pattern of individual dominance continues through the small and mid-size tiers. For example, individuals own 89.2% of two-property portfolios and 90.2% of portfolios with 3-5 properties. Even in the 21-50 property tier, individuals own 31 of the 33 properties (93.9%).

The crossover point where companies become the majority owners occurs only at a significant scale. In the 'Large' tier of 101-1000 properties, companies own 4 of the 5 homes, representing an 80.0% share. This is the only tier where companies hold a majority.

Interestingly, the 11-20 property tier is composed entirely of individual owners, who hold all 20 properties. This demonstrates that scaling a portfolio into the mid-size range does not necessarily require corporate structuring in this market.

The data clearly illustrates two different market structures operating in parallel: a vast base of individual owners building small-to-medium portfolios, and a very small number of companies operating at the largest, albeit still limited, scale.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor ownership is highly concentrated, with two zip codes, 88401 and 88426, holding 90% of all investor properties.
Detailed Findings

Geographic analysis reveals that investor activity in Quay County is not evenly distributed but is instead highly concentrated in a few key areas. The zip code 88401 is the epicenter of activity by volume, containing 1,083 investor-owned properties, which is 65.6% of all such properties in the county.

Adding the 400 investor-owned properties in zip code 88426 brings the combined total to 1,483, or nearly 90% of the entire investor portfolio, highlighting an extreme geographic focus.

However, the areas with the highest volume are not necessarily those with the highest market penetration. The top regions by investor ownership percentage tell a different story. Zip code 88430 leads with a 72.7% investor ownership rate, followed by 88426 at 64.2% and 88121 at 61.2%.

This distinction is important; it shows that while the bulk of investor properties are in 88401, investors are the majority owners of the housing stock in other, smaller sub-markets. These high-penetration areas represent markets where rental properties significantly outnumber owner-occupied homes.

The data points to a dual strategy among investors: targeting volume in core population centers like 88401 (39.1% rate) while also achieving market dominance in smaller, surrounding zip codes.

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 with a 6.3x buy-to-sell ratio in Q1, while the sole institutional investor is a net seller.
Detailed Findings

Historical transaction data reveals a clear and consistent trend: landlords in Quay County are overwhelmingly net buyers. In Q1 2026, they purchased 38 properties while selling only 6, resulting in a net gain of 32 properties and a strong 6.3-to-1 buy/sell ratio.

This pattern of accumulation is not new. Throughout 2025, landlords acquired 149 properties and sold just 11, for a net increase of 138 properties. This demonstrates a sustained period of portfolio growth across the market.

However, a crucial divergence emerges when isolating the activity of the institutional tier (1,000+ properties). In Q1 2026, this tier was a net seller, acquiring only 1 property while divesting 2. This is in direct opposition to the aggressive buying seen from smaller landlords.

While the institutional player was a slight net buyer in 2025 (3 buys vs. 2 sells), the most recent quarterly data signals a potential strategic shift or portfolio rebalancing. This creates a fascinating market dynamic where smaller investors are actively absorbing housing supply while the largest player is beginning to release it.

This contrast underscores the importance of segmenting the market. The behavior of the 99.9% of mom-and-pop landlords, who are in a clear accumulation phase, defines the overall market trend, even as the 0.1% institutional segment moves in the opposite direction.

Current Quarter Transactions

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

Key Insight
Landlords dominated Q1 activity, participating in 60.3% of all market transactions, with mom-and-pop tiers driving the volume.
Detailed Findings

In Q1 2026, landlords were the most active participants in the Quay County real estate market, involved in 38 of the 63 total SFR transactions. This 60.3% share highlights their role as the primary engine of market liquidity.

Virtually all of this activity came from smaller investors. Mom-and-pop landlords (Tiers 01-04) were responsible for 37 of the 38 investor transactions. The single remaining transaction was conducted by an institutional investor.

Purchase prices showed extreme and likely anomalous variations between tiers. The average price for the 20 transactions by single-property landlords was $187,782. In stark contrast, the 9 transactions by two-property landlords averaged $1,463,000, a figure so high it suggests the inclusion of non-SFR assets or a significant outlier property.

Inter-landlord trading, where investors buy from other investors, appears to be a key strategy for larger players. The single institutional purchase in Q1 was sourced from another landlord (100% rate). In contrast, new single-property landlords sourced only 10% of their purchases (2 of 20) from existing investors, relying more on the open market.

This suggests different acquisition strategies are at play. New and smaller investors are absorbing general housing stock, while the largest player is focused on acquiring existing, potentially stabilized rental assets from within the investor community.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

Ready to leverage this data for your real estate investment decisions?

TALK TO AN EXPERT

Executive Summary

Small Landlords Control 96.6% of Investor Housing in Quay County, NM as the Lone Institutional Player Sells Off Assets
Holdings
Landlords own 1,652 SFR properties, a 44.4% share of the Quay County market, with individual investors overwhelmingly holding 92.5% of these assets compared to just 8.6% for companies.
Pricing
Q1 pricing data was skewed by an anomaly, showing a landlord paying a 581.6% premium ($612,854 vs $89,917), but overall pricing is too volatile from low volume to establish a reliable trend.
Activity
Landlords drove market activity last quarter, purchasing 59.1% of all homes sold (26 properties), with 20 new single-property landlords entering the market and mom-and-pop investors making 100% of the buys.
Market Share
The investor market is defined by small operators, as mom-and-pop landlords (1-10 properties) control 96.6% of investor housing, while the institutional tier (1000+) holds just a single property (0.1%).
Ownership Type
Individual investors dominate smaller portfolios, but companies take majority control in the rare, large portfolios, with the crossover point occurring at the 101+ property tier.
Transactions
Landlords are strong net buyers with a 6.3x buy/sell ratio in Q1 (38 buys vs 6 sells), but institutional investors are moving in the opposite direction as net sellers (1 buy vs 2 sells).
Market Narrative

The real estate market in Quay County, New Mexico, is characterized by an exceptionally high level of investor ownership and the overwhelming dominance of small, individual operators. Investors own 1,652 single-family properties, a 44.4% penetration rate that signifies their critical role in the local housing ecosystem. The market structure heavily favors individuals, who own 92.5% of these properties, over companies. This dynamic is further reinforced by tier analysis, which shows that mom-and-pop landlords (owning 1-10 properties) control a staggering 96.6% of all investor-held housing, while the single institutional-scale investor holds just 0.1% of the portfolio.

Investor behavior in the most recent quarter highlights an aggressive accumulation phase among these small players. Landlords purchased 59.1% of all homes sold, with 100% of these acquisitions made by mom-and-pop investors and 20 new single-property landlords entering the market. This group is actively buying, as evidenced by a 6.3-to-1 buy-to-sell ratio in Q1. In a striking contrast, the county's lone institutional investor was a net seller, signaling a divergence in strategy where the largest player is divesting assets while smaller ones are absorbing them. Pricing data is highly volatile due to low transaction volume, making it difficult to pinpoint a consistent discount or premium for investors.

The key takeaway for Quay County is that it operates as a quintessential 'mom-and-pop' market, defying the national narrative of corporate landlord expansion. The market's health and trajectory are dictated by the actions of thousands of individual owners, not a handful of large firms. This structure, combined with a high prevalence of cash-owned properties (87.2% of the investor portfolio), suggests a stable, low-leverage rental market. The primary market dynamic to watch is the continued absorption of housing stock by small investors, juxtaposed with the strategic retreat of the single largest portfolio holder, which could provide acquisition opportunities for local players.

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 11:59 PM
Data Period Q1 2026
Geography Level County
Geography Quay (NM)
×
Chart Section2 Coverage
Chart Section2 Coverage
×
Chart Section3 Ownership Donut
Chart Section3 Ownership Donut
×
Chart Section3 Ownership Bar
Chart Section3 Ownership Bar
×
Chart Section4 Distribution
Chart Section4 Distribution
×
Chart Section5 Holdings
Chart Section5 Holdings
×
Chart Section6 Prices
Chart Section6 Prices
×
Chart Section6 Prices Alt
Chart Section6 Prices Alt
×
Chart Section6 Yoy Comparison
Chart Section6 Yoy Comparison
×
Chart Section6 Trends
Chart Section6 Trends
×
Chart Section7 Purchases
Chart Section7 Purchases
×
Chart Section7 Tiers
Chart Section7 Tiers
×
Chart Section8 Distribution
Chart Section8 Distribution
×
Chart Section8 Prices
Chart Section8 Prices
×
Chart Section8 Prices Q4
Chart Section8 Prices Q4
×
Chart Section8 Prices 2020
Chart Section8 Prices 2020
×
Chart Section8 Yoy Comparison
Chart Section8 Yoy Comparison
×
Chart Section9 Ownership
Chart Section9 Ownership
×
Chart Section9 Growth
Chart Section9 Growth
×
Chart Section9 Growth Q4
Chart Section9 Growth Q4
×
Chart Section9 Yoy Comparison
Chart Section9 Yoy Comparison
×
Chart Section10 Top Regions
Chart Section10 Top Regions
×
Chart Section10 Top Pct
Chart Section10 Top Pct
×
Chart Section11 Buysell
Chart Section11 Buysell
×
Chart Section11 Buysell Price
Chart Section11 Buysell Price
×
Chart Section11 Yoy All Landlords
Chart Section11 Yoy All Landlords
×
Chart Section11 Institutional
Chart Section11 Institutional
×
Chart Section11 Institutional Price
Chart Section11 Institutional Price
×
Chart Section12 Transactions
Chart Section12 Transactions
×
Chart Section12 Prices
Chart Section12 Prices
×
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 Quay (NM) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-nm-quay/. Licensed under CC BY-NC-ND 4.0.