Garfield (UT) Investor Pulse Report (2026-Q1)

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

Market Overview

Total SFR Properties in Garfield (UT)
3,741
Total Investors in Garfield (UT)
3,918
Investor Owned SFR in Garfield (UT)
2,925(78.2%)
Individual Landlords
Landlords
3,646
SFR Owned
2,591
Corporate Landlords
Landlords
272
SFR Owned
345
Understanding Property Counts

Distinct Count Methodology: The total 2,925 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

Investors Own 78% of Garfield County SFRs in a Market with No Recent Sales Activity
Investors own 2,925 Single-Family Residences in Garfield County, an extraordinary 78.2% of the total market. The market is dominated by individual, small-scale landlords who control 99.8% of the investor portfolio. However, the market showed a complete lack of transactional activity in the last quarter, with zero recorded purchases or sales, indicating a tightly-held, low-turnover environment.
Landlord Owned Current Holdings
Investors own 2,925 SFRs, with individuals holding 88.6% of the portfolio.
The entire investor portfolio of 2,925 properties was acquired with cash, as there are zero financed properties recorded. Nearly all properties (2,924) are classified as rentals, confirming the strong investment focus. Individual landlords (3,646) vastly outnumber company landlords (272).
Landlord vs Traditional Homeowners
No pricing data is available due to a complete lack of recent market transactions.
Without any recorded sales in the latest quarter for either landlords or traditional homeowners, it is not possible to calculate a price comparison or analyze trends in the price gap. The market shows no recent velocity to establish current pricing benchmarks.
Current Quarter Purchases
Landlords made 0% of the purchases in Q4, as there were no SFR sales recorded.
With zero total purchases in the market, mom-and-pop (Tiers 01-04) and institutional (Tier 09) investors both recorded zero acquisitions. No new landlords entered the market, and no existing investors expanded their portfolios through purchasing.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control 99.8% of investor-owned SFRs.
Institutional investors (1000+ properties) have zero presence in this market, owning 0.0% of the portfolio. Single-property landlords alone account for 74.3% of all investor-held properties, with 2,287 homes.
Ownership by Tier & Type
Companies become the majority owner in the 6-10 property tier, holding 71.0% of homes.
Despite this crossover, individuals dominate the largest and most crucial tiers, owning 91.6% of single-property portfolios and 86.4% of two-property portfolios. Overall, companies only own 345 properties (11.8%) compared to 2,591 for individuals.
Geographic Distribution
The 84726 zip code has the most investor-owned properties with 481 homes.
Investor ownership rates are extremely high across the county, with top zip codes like 84776 (86.5%), 84712 (84.2%), and 84726 (83.8%) all showing investors owning more than 4 out of every 5 homes.
Historical Transactions
No historical transaction data is available, preventing analysis of market dynamics.
Without buy or sell transactions, it's impossible to determine if landlords are net buyers or sellers, or to calculate the rate of landlord-to-landlord sales. There is no data to compare buy prices versus sell prices.
Current Quarter Transactions
Landlords accounted for 0.0% of Q1 transactions, as there were no sales.
Transaction volumes were zero across all investor tiers, from the smallest mom-and-pops to the largest institutions. Average purchase prices were $0 for all tiers, reflecting the complete absence of sales activity.

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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 2,925 SFRs, with individuals holding 88.6% of the portfolio.
Detailed Findings

Investor ownership in Garfield County is exceptionally high, with 2,925 Single-Family Residences, or 78.2% of the total 3,741 SFRs, held by investors. This level of market penetration indicates a landscape heavily shaped by real estate investing rather than traditional homeownership.

The investor landscape is overwhelmingly composed of individuals, who own 2,591 properties (88.6%), compared to just 345 properties (11.8%) owned by companies. This is further reflected in the entity count, where 3,646 individual landlords operate alongside 272 company landlords, a ratio of more than 13 to 1.

A defining characteristic of this market is the complete absence of financing in landlord portfolios. All 2,925 investor-owned properties are recorded as cash holdings, suggesting a market of well-capitalized investors who are not leveraged with debt.

The portfolio's purpose is clear, with 2,924 of the 2,925 properties identified as rented or non-owner-occupied. This 99.9% rental rate underscores that these holdings are almost exclusively for generating rental income, not for personal use or speculative flipping.

The data points to a market dominated by small, independent operators who have secured their assets outright. The high concentration of cash-owned rentals suggests a long-term, buy-and-hold strategy is the prevailing model in Garfield County.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
No pricing data is available due to a complete lack of recent market transactions.
Detailed Findings

Analysis of acquisition pricing is not possible for Garfield County due to a lack of transactional data in the recent reporting periods. There were no recorded SFR purchases by landlords or traditional homeowners, preventing any direct price comparisons.

The absence of sales data makes it impossible to determine if landlords typically pay less than homeowners in this market, a common trend seen in more active regions. There are no data points to calculate a price gap or track its movement over time.

Similarly, price appreciation trends from the 2020-2023 period into the current quarter cannot be measured. The market's current stillness provides no new benchmarks to compare against historical prices, leaving the current valuation landscape undefined by recent sales.

This lack of activity is the most significant finding. It portrays a market with extremely low liquidity and turnover, where properties are tightly held and transactions are infrequent, if not non-existent, in the current climate.

Without active sales, any valuation of properties in the area would rely on alternative methods, such as an automated valuation (AVM), rather than comparable sales data, which is the standard for market analysis.

Current Quarter Purchase Summary

Analysis of Q1 2026 purchase activity by investor tier and type

Key Insight
Landlords made 0% of the purchases in Q4, as there were no SFR sales recorded.
Detailed Findings

In Q4 2025, the investor purchase activity in Garfield County came to a complete standstill, with landlords acquiring zero properties. This reflects a total market halt, as the overall number of SFR purchases was also zero.

The lack of activity was universal across all investor sizes. Mom-and-pop landlords (1-10 properties), who constitute the vast majority of owners in the area, made no new acquisitions during the quarter.

Similarly, mid-size and institutional investors were also inactive, with zero properties purchased. This indicates that the market freeze was not isolated to a single segment but was a market-wide phenomenon.

Consequently, no new landlords entered the market in Q4. The number of single-property landlords, often a proxy for new entrants, saw no growth from new purchases during this period.

The data highlights a period of zero growth and no new capital deployment from investors into the Garfield County SFR market. This contrasts sharply with the high existing ownership rate, suggesting a mature, fully-bought-up market with very little available for sale.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

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

The ownership structure in Garfield County is definitively characterized by small-scale investors. Mom-and-pop landlords, defined as those owning 1-10 properties, command an overwhelming 99.8% share of the investor-owned SFR market.

Breaking this down further reveals the dominance of the smallest investors. Landlords with a single property (Tier 01) own 2,287 homes, which is 74.3% of the entire investor portfolio. Those with two properties hold another 487 homes (15.8%).

In stark contrast, institutional-level investment is entirely absent from Garfield County. The 1000+ property tier holds zero properties, accounting for 0.0% of the market and challenging the narrative of large corporate landlords dominating every market.

Mid-size landlords (11-1000 properties) also have a negligible footprint. The combined holdings of Tiers 05-08 amount to just a handful of properties, reinforcing that the local market structure does not support or attract large-scale portfolio operations.

This distribution highlights a hyper-localized market, reliant on small, independent operators. The lack of scale and transactional velocity makes it an unattractive target for larger investment funds, preserving the mom-and-pop dominance.

Chart Section8 Distribution
Chart Section8 Prices
Chart Section8 Prices Q4

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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
Key Insight
Companies become the majority owner in the 6-10 property tier, holding 71.0% of homes.
Detailed Findings

While individual investors dominate the Garfield County market overall, a clear crossover point occurs as portfolio sizes increase. In the 6-10 property tier (Tier 04), companies become the majority owners, holding 22 properties for a 71.0% share.

However, this crossover happens in a very small segment of the market. In the most significant tiers, individuals maintain massive control. They own 2,103 properties (91.6%) in the single-property tier and 421 properties (86.4%) in the two-property tier.

The 3-5 property tier (Tier 03) still favors individuals, who own 208 properties (77.3%) compared to 61 properties (22.7%) for companies. This shows that the transition to company-dominated ownership only happens after an investor accumulates more than five properties.

There is no pricing data available to compare acquisition costs between individuals and companies within these tiers due to the lack of recent sales.

The pattern suggests that while most investors in Garfield County are individuals operating at a small scale, those who pursue slightly larger portfolios are more likely to do so under a formal company structure, likely for liability and organizational purposes.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
The 84726 zip code has the most investor-owned properties with 481 homes.
Detailed Findings

Investor activity in Garfield County is geographically concentrated, with the 84726 zip code leading in volume, containing 481 investor-owned properties. This single area accounts for a significant portion of the total investor portfolio in the county.

Following 84726, other key areas of concentration include 84735 with 256 properties and 84716 with 217 properties. These top three zip codes represent the core of investor holdings within the region.

When analyzing by ownership rate, the story is one of market-wide saturation. Several zip codes show investor ownership percentages exceeding 80%, including 84776 (86.5%), 84712 (84.2%), 84726 (83.8%), 84718 (81.7%), and 84716 (81.3%).

The data reveals a strong correlation between the areas with the highest count of investor properties and the highest ownership rates. This indicates that investors are not just buying in specific niches but have become the dominant owners in the most significant residential areas of the county.

This deep penetration across multiple zip codes suggests that the high investor ownership is a fundamental characteristic of the entire Garfield County housing market, not just an isolated trend.

Chart Section10 Top Regions
Chart Section10 Top Pct

Historical Transactions

Buy/sell transaction trends over time for all landlords and institutional investors

Key Insight
No historical transaction data is available, preventing analysis of market dynamics.
Detailed Findings

A complete lack of historical transaction data for Garfield County makes it impossible to analyze long-term market dynamics. There are no recorded buy or sell events for landlords, preventing any assessment of their net position.

Consequently, the buy/sell ratio cannot be calculated. It is unknown whether the market has recently favored accumulation or disposition of assets among investors.

The volume of inter-landlord trading, a key indicator of market liquidity and sophistication, is also unmeasurable. There is no data to show what percentage of transactions are between existing investors.

Similarly, institutional investor (1000+ tier) transaction patterns cannot be reviewed, though their zero-property ownership already indicates a lack of historical activity in this market.

This absence of data is a defining feature, suggesting a historically illiquid market where properties are held for very long periods with minimal turnover. The market operates more like a collection of long-term rental holdings than an active transactional environment.

Current Quarter Transactions

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

Key Insight
Landlords accounted for 0.0% of Q1 transactions, as there were no sales.
Detailed Findings

In Q1, the transactional market in Garfield County was entirely dormant, with zero total SFR transactions recorded. As a result, landlords constituted 0.0% of market activity, matching the inactivity of all other buyer types.

This lack of transactions was consistent across every investor tier. Single-property landlords (Tier 01) recorded zero transactions, as did all other mom-and-pop tiers (Tiers 02-04).

Mid-size and institutional tiers were also completely inactive, with zero purchases or sales. The data portrays a market where no capital was exchanged for SFR properties during the quarter.

Given the absence of sales, the average purchase price for every tier was $0. It is therefore impossible to analyze pricing strategies or compare what different-sized investors might pay for assets in this market.

Inter-landlord trading activity was also non-existent. The percentage of properties bought from other landlords was zero, further underscoring the market's complete lack of liquidity in the first quarter.

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Executive Summary

Investors dominate Garfield County with 78.2% ownership in a frozen market with zero recent sales
Holdings
Landlords own 2,925 SFR properties, representing a massive 78.2% of Garfield County's market. The portfolio is controlled by individual investors holding 2,591 properties (88.6%) versus companies with 345 (11.8%).
Pricing
No pricing comparison between landlords and homeowners is possible, as there were zero recorded SFR sales in Q1 2026, indicating a market with no recent transactional velocity.
Activity
Q1 2026 saw a complete halt in market activity, with landlords purchasing 0 properties, or 0.0% of all sales. Consequently, no new landlords entered the market during this period.
Market Share
Small 'mom-and-pop' landlords (1-10 properties) have near-total control, owning 99.8% of investor housing, while institutional investors (1000+) have no presence with a 0.0% share.
Ownership Type
Individual investors dominate smaller portfolios, but companies take majority control (71.0%) in portfolios sized between 6-10 properties, the only tier where they are the primary owner.
Transactions
The market is in a state of stasis with no net buyer or seller status determinable due to zero recorded buys or sells in Q1 2026 for any investor class.
Market Narrative

Garfield County, Utah, presents a unique real estate landscape defined by exceptionally high investor penetration and extremely low market velocity. Investors own 2,925 single-family residences, a staggering 78.2% of the county's total SFR inventory. This market is not driven by large corporations; instead, it is the domain of small, independent operators. Individual investors own 88.6% of the portfolio, and 'mom-and-pop' landlords (1-10 properties) control a near-monopolistic 99.8% of all investor-owned homes, while institutional firms have zero presence.

The behavior of these investors points to a long-term, buy-and-hold strategy, evidenced by a portfolio that is 100% cash-owned with no financing. However, this stability has resulted in a frozen market. In Q1 2026, there were zero recorded SFR purchases by any buyer type, landlord or otherwise. This complete lack of sales activity makes typical performance metrics, such as price comparisons to homeowners or net buyer/seller status, impossible to calculate. The market currently lacks the liquidity to establish pricing benchmarks or analyze transactional trends.

The key takeaway for Garfield County is that it is a mature, tightly-held rental market where the opportunity for new investment is scarce, not due to lack of investor appetite but a near-total absence of available properties for sale. The high ownership concentration and lack of turnover suggest that existing landlords are content with their assets, creating a stable but static environment. Future activity will depend entirely on whether these long-standing owners decide to divest, as new inventory appears to be non-existent. For deeper analysis of market trends, our Investor Pulse reports provide a broader context.

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 04:26 AM
Data Period Q1 2026
Geography Level County
Geography Garfield (UT)
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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 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 Section9 Ownership
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Chart Section9 Growth
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Chart Section9 Growth Q4
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Chart Section10 Top Regions
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Chart Section10 Top Pct
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Licensing & Usage Rights

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You MAY: Download, share, or excerpt this content for personal or non-commercial purposes, provided you give clear attribution to BatchData with a link back to this original page.

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

How to cite this report

BatchData. (2026). Q1 2026 Garfield (UT) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-ut-garfield/. Licensed under CC BY-NC-ND 4.0.