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

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

Market Overview

Total SFR Properties in Rich (UT)
2,170
Total Investors in Rich (UT)
2,216
Investor Owned SFR in Rich (UT)
1,791(82.5%)
Individual Landlords
Landlords
1,736
SFR Owned
1,310
Corporate Landlords
Landlords
480
SFR Owned
489
Understanding Property Counts

Distinct Count Methodology: The total 1,791 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 Rich County with 82.5% Market Share, Controlling Nearly 100% of Investor-Held Homes
Investors own 1,791 single-family properties in Rich County, UT, representing a staggering 82.5% of the total market. This landscape is almost entirely controlled by mom-and-pop landlords (99.9% of investor properties), with individual owners holding a 73.1% majority. In the most recent quarter, these small investors acquired 80.0% of all homes sold and have consistently been net buyers, signaling a deeply entrenched, small-scale rental market.
Landlord Owned Current Holdings
Investors own 1,791 properties, an 82.5% market share, with individuals holding 73.1% of the portfolio.
The vast majority of investor properties, 1,524 or 85.1%, are owned free and clear with cash. All 1,791 properties in the investor portfolio are classified as rented, indicating a strong focus on generating rental income.
Landlord vs Traditional Homeowners
Landlord purchase data is sparse, but Q3 2025 showed a minimal 0.2% price discount compared to homeowners.
Recent transaction volume for landlords has been extremely low, with zero acquisitions recorded in multiple quarters. In Q3 2025, landlords paid $594,825 on average, just $1,425 less than the $596,250 paid by traditional homeowners.
Current Quarter Purchases
Landlords acquired 80.0% of all properties sold in the market's most recent active quarter.
All landlord buying activity (100.0%) came from mom-and-pop investors. Four new single-property landlords entered the market, representing the entirety of investor purchases for the quarter.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) have near-total control, owning 99.9% of investor SFRs.
Single-property landlords alone account for 1,634 properties, an 89.4% share of the entire investor portfolio. Institutional investors (1,000+ properties) have zero presence in this market.
Ownership by Tier & Type
Companies assume majority ownership at the 6-10 property tier, holding a 70.0% share.
This is a sharp reversal from smaller tiers, where individuals are the dominant owners. For single-property portfolios, individuals command a 72.6% majority (1,191 properties).
Geographic Distribution
Investor ownership rates in Rich County are exceptionally high, exceeding 90% in multiple zip codes.
The 84086 zip code leads with a 93.6% investor ownership rate, followed closely by 84064 at 92.6%. The 84028 zip code has the largest volume, with 1,236 investor-owned homes.
Historical Transactions
Landlords are decisive net buyers, purchasing 76 properties while selling only 3 in 2025.
This accumulation trend is consistent, following a year in 2024 where landlords bought 59 properties and sold just 5. All transaction activity is driven by smaller investors, with no institutional trading recorded.
Current Quarter Transactions
Landlords drove 80.0% of all SFR transactions in the most recent quarter of market activity.
All 4 landlord purchases were made by new, single-property investors at an average price of $231,250. Notably, 0% of these acquisitions came from other landlords, instead converting homeowner-occupied properties to rentals.

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 1,791 properties, an 82.5% market share, with individuals holding 73.1% of the portfolio.
Detailed Findings

Investor ownership has reached an extraordinary level of saturation in Rich County, with landlords holding 1,791 of the 2,170 total Single-Family Residential (SFR) properties, an 82.5% market share. This level of concentration suggests a market dominated by non-owner-occupied housing, such as vacation or long-term rentals.

The ownership structure is heavily skewed towards individuals over corporations. Individual landlords own 1,310 properties, accounting for 73.1% of the investor portfolio, while companies own the remaining 489 properties (27.3%).

A defining characteristic of this market is the preference for cash ownership. A remarkable 1,524 properties, or 85.1% of the investor portfolio, are held without financing. This compares to just 267 financed properties, signaling that most investors are not leveraged and likely have significant equity.

By entity count, there are 2,216 distinct landlords operating in the county. Of these, 1,736 are individuals and 480 are registered companies, reinforcing the grassroots nature of property ownership in the area.

All 1,791 investor-owned properties are classified as rented, confirming that the entire portfolio is actively part of the rental housing stock. This underscores the county's role as a destination for real estate investing focused on income generation.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlord purchase data is sparse, but Q3 2025 showed a minimal 0.2% price discount compared to homeowners.
Detailed Findings

The price advantage for landlords in Rich County is minimal and based on very limited transaction data. In Q3 2025, the last period with comparable sales, landlords paid an average of $594,825, a negligible 0.2% discount ($1,425) below the traditional homeowner price of $596,250.

Acquisition activity by investors has slowed to a halt in several recent periods. No landlord purchases were recorded in 2026-Q1, 2025-Q3, 2025-Q2, 2025-Q1, or 2024-Q4, indicating a very low-turnover market or a pause in investor buying.

Price comparisons are challenging due to the sporadic nature of sales. In 2026-Q1, landlords recorded an average purchase price of $231,250, but with no corresponding homeowner sales, a direct comparison is not possible.

Historical data reveals significant price volatility, likely driven by low volume and the unique nature of each property. The average landlord acquisition price swung from $763,453 in Q4 2024 to $408,927 in Q1 2025, highlighting the difficulty in establishing a stable price trend.

The lack of a consistent, significant discount suggests that investors in this market are competing on nearly equal footing with traditional buyers, possibly due to high demand and low inventory for desirable rental properties.

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 80.0% of all properties sold in the market's most recent active quarter.
Detailed Findings

In the most recent quarter with recorded sales, landlords were the dominant buyers, acquiring 4 of the 5 total SFR properties sold for an 80.0% market share. This demonstrates their significant influence on market activity, even in a low-volume environment.

The quarter's activity was driven exclusively by new entrants. Four different entities each purchased their first rental property, signaling organic, ground-level growth in the investor pool.

Mom-and-pop investors (those owning 1-10 properties) were responsible for 100.0% of all landlord acquisitions. This underscores the absence of larger-scale investors in the county's purchasing activity.

Institutional investors with portfolios of over 1,000 properties made zero purchases, reinforcing the character of Rich County as a market untouched by large corporate buyers.

The complete control of purchasing by the single-property tier highlights that the investor market is expanding through new, small-scale participants rather than the consolidation of portfolios by existing owners.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) have near-total control, owning 99.9% of investor SFRs.
Detailed Findings

The investor landscape in Rich County is unequivocally dominated by small-scale owners. Landlords in the mom-and-pop tiers (owning 1-10 properties) control a staggering 99.9% of all investor-held SFRs.

The market's bedrock is the single-property landlord. This group owns 1,634 properties, which alone constitutes 89.4% of the entire investor portfolio, making first-time and single-asset investors the definitive market force.

Ownership concentration dissipates rapidly in larger tiers. Landlords with two properties hold 7.8% of the portfolio, while those with 3-5 properties hold just 2.1%. This sharp drop-off highlights the prevalence of micro-portfolios.

There is a complete absence of institutional capital. The 1,000+ property tier holds 0.0% of the market, a stark contrast to national narratives and a clear indicator of a localized, grassroots investment environment.

Even mid-size investors are exceedingly rare. The 11-20 property tier represents just a single property, or 0.1% of the total, further cementing the market's small-investor character.

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
Companies assume majority ownership at the 6-10 property tier, holding a 70.0% share.
Detailed Findings

A distinct ownership pattern emerges as investors scale their portfolios in Rich County. While individuals dominate smaller holdings, companies become the majority owners in the 6-10 property tier, controlling 7 of the 10 properties (70.0%).

Individual investors form the backbone of the entry-level market. They own a commanding 72.6% of single-property portfolios (1,191 properties) and 80.4% of two-property portfolios (115 properties).

The trend of individual dominance continues into the 3-5 property tier, where they own 36 of 39 properties, a 92.3% share. This suggests that personal ownership is the preferred structure for investors with five or fewer properties.

Despite the individual majority in the entry tier, companies maintain a notable presence, owning 450 single-property investments (27.4%). This shows a segment of investors choose a corporate structure from their very first purchase.

The crossover point at six properties indicates a strategic shift. As portfolios grow into small businesses, investors increasingly favor corporate entities for liability protection and operational efficiency.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor ownership rates in Rich County are exceptionally high, exceeding 90% in multiple zip codes.
Detailed Findings

Rich County stands out for its extreme concentration of investor-owned properties, with ownership rates exceeding 79% across all major zip codes. This profile is characteristic of a vacation or resort destination where non-owner-occupied properties are the norm.

The highest saturation is found in the 84086 zip code, where investors own 117 properties, equivalent to a 93.6% share of the area's SFR housing stock.

Similarly, the 84064 zip code shows profound investor penetration, with 187 properties translating to a 92.6% ownership rate.

By sheer volume, the 84028 zip code is the heart of investor activity. It contains 1,236 landlord-owned properties, and even at this scale, the ownership rate is a remarkable 79.5%.

The data consistently points to a market where the primary function of single-family homes is investment and rental income, rather than serving as primary residences for traditional homeowners.

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
Key Insight
Landlords are decisive net buyers, purchasing 76 properties while selling only 3 in 2025.
Detailed Findings

Historical transaction data reveals that landlords in Rich County are in a strong accumulation phase. They have consistently operated as net buyers, significantly expanding their portfolios over time.

In 2025, investors demonstrated a powerful buying appetite, acquiring 76 properties while selling only 3. This buy-to-sell ratio of over 25-to-1 underscores a strong commitment to growing holdings in the area.

The pattern of net buying is not a recent anomaly. It extends back through 2024, a year in which landlords purchased 59 SFRs and sold only 5, confirming a sustained, multi-year trend of portfolio growth.

A snapshot from Q2 2025 shows this momentum in action, with 17 properties purchased versus only 3 sold during the quarter.

The low sales volume from existing landlords suggests a widespread 'buy and hold' strategy. Investors appear focused on long-term appreciation and rental income rather than short-term gains from flipping, contributing to low market turnover.

Current Quarter Transactions

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

Key Insight
Landlords drove 80.0% of all SFR transactions in the most recent quarter of market activity.
Detailed Findings

Investor activity defined the market in the most recent quarter, with landlords responsible for 4 of the 5 total transactions, an 80.0% share. This highlights their role as the primary drivers of sales volume.

All investor acquisitions were made by the smallest landlord tier. Four new single-property investors entered the market, each purchasing one home and accounting for 100% of landlord buying activity.

The market is growing by sourcing homes from the traditional market, not by trading among investors. All 4 properties purchased by landlords were acquired from non-landlords, indicating a net transfer of housing stock into the rental pool.

The average purchase price for these new entrants was $231,250, establishing a baseline for entry-level investment in the current market.

The complete lack of transactions from mid-size or institutional tiers reinforces that recent market dynamics are dictated entirely by grassroots activity from new, small-scale investors.

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

Rich County's housing market is defined by small investors, who own 82.5% of all homes and account for 99.9% of investor holdings.
Holdings
Landlords own 1,791 single-family properties in Rich County, UT, an 82.5% share of the market's 2,170 SFRs. Individual investors are the primary force, holding 1,310 of these properties (73.1%) compared to 489 held by companies (27.3%).
Pricing
Comparable pricing data is sparse due to low transaction volume, but in Q3 2025, landlords paid an average of $594,825, a minimal 0.2% discount ($1,425) compared to traditional homeowners.
Activity
In the most recent quarter of activity, landlords acquired 80.0% of all properties sold (4 of 5). All purchases were made by 4 new single-property landlords entering the market, with no acquisitions by larger investors.
Market Share
The investor market is almost exclusively controlled by small-scale owners, with mom-and-pop landlords (1-10 properties) owning 99.9% of all investor-held SFRs. Institutional investors with 1,000+ properties have zero presence.
Ownership Type
Individual investors overwhelmingly own smaller portfolios, but companies become the majority owners (70.0%) at the 6-10 property tier, marking a clear shift in strategy as portfolios scale.
Transactions
Landlords are strong and consistent net buyers, acquiring 76 properties while selling only 3 in 2025. This accumulation is driven entirely by small investors, as there is no institutional buying or selling activity.
Market Narrative

The single-family housing market in Rich County, UT is fundamentally shaped by investors, who own a staggering 1,791 properties, or 82.5% of the entire SFR housing stock. This landscape is not the product of institutional capital but a grassroots phenomenon. Individual investors own 73.1% of the portfolio (1,310 properties), and small mom-and-pop landlords (1-10 properties) control a near-total 99.9% of all investor-held homes. This structure points to a market dominated by second homes and vacation rentals, managed by thousands of small-scale owners.

Investor behavior is characterized by a long-term 'buy and hold' strategy. Landlords are consistent net buyers, having acquired 76 properties while selling only 3 in 2025. Recent market activity, though low in volume, is telling: investors captured 80.0% of sales, with all purchases made by new, first-time landlords. These buyers sourced their properties entirely from the traditional housing market, converting them into rental assets without any observed trading between existing landlords.

Ultimately, Rich County represents a specialized real estate ecosystem defined by high investor penetration and small-scale ownership. The absence of institutional players and the dominance of individual, cash-heavy buyers create a stable, low-turnover environment. Market growth is organic, driven by new entrants rather than portfolio consolidation, solidifying its identity as a destination where single-family homes primarily serve as investments.

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 04:29 AM
Data Period Q1 2026
Geography Level County
Geography Rich (UT)
×
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 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 Rich (UT) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-ut-rich/. Licensed under CC BY-NC-ND 4.0.