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

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

Market Overview

Total SFR Properties in Garfield (MT)
108
Total Investors in Garfield (MT)
118
Investor Owned SFR in Garfield (MT)
79(73.1%)
Individual Landlords
Landlords
111
SFR Owned
73
Corporate Landlords
Landlords
7
SFR Owned
7
Understanding Property Counts

Distinct Count Methodology: The total 79 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

Investor Ownership in Garfield County is Exceptionally High at 73.1%, Yet Market Activity is Entirely Frozen
Investors own 79 single-family properties in Garfield County, representing a staggering 73.1% of the total market. The landscape is 100% controlled by 'mom-and-pop' landlords, with zero institutional presence. However, the market saw a complete standstill in Q4 2025, with zero properties bought or sold by any party, making it a highly concentrated but currently illiquid market.
Landlord Owned Current Holdings
Investors own 79 SFR properties, with individuals accounting for 92.4% of the portfolio.
The entire investor portfolio of 79 properties is owned free and clear, with zero properties financed. All 79 properties are classified as non-owner-occupied, indicating a market purely focused on rentals.
Landlord vs Traditional Homeowners
No pricing data is available as zero real estate transactions occurred in recent quarters.
The absence of any sales activity prevents any comparison between landlord and homeowner acquisition prices. It is impossible to determine if a price gap exists in this market.
Current Quarter Purchases
Investor purchasing activity in Garfield County was zero in Q4 2025.
With zero total SFR purchases in the market, landlords had a 0.0% market share. No new mom-and-pop landlords entered the market, and institutional purchasing was non-existent.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) exercise 100% control of Garfield County's investor market.
Single-property landlords are the most significant group, owning 75 properties, which is 91.5% of the entire investor portfolio. Institutional investors have a 0.0% ownership share, and no pricing data is available due to a lack of sales.
Ownership by Tier & Type
Individual investors are the dominant owners in every tier, with no company-majority portfolios.
In the largest tier of single-property owners, individuals hold 92.1% of the properties. No pricing data is available to compare buying patterns between owner types due to a lack of sales.
Geographic Distribution
Investor ownership is heavily concentrated in the 59337 zip code, home to 76 of the 79 properties.
Investor ownership rates are extremely high in localized pockets, reaching 100.0% in 59322 and 73.1% in 59337. These two areas represent the core of investor activity.
Historical Transactions
No historical transaction data is available, preventing analysis of landlord buying and selling patterns.
It is not possible to determine if landlords are net buyers or sellers, nor can buy/sell prices be compared. Inter-landlord transaction rates are also unknown.
Current Quarter Transactions
Landlord transaction share was 0.0% in Q4 2025, reflecting a market with no sales activity.
Zero transactions were recorded across any investor tier, from single-property owners to larger landlords. No inter-landlord trading occurred during the quarter.

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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 79 SFR properties, with individuals accounting for 92.4% of the portfolio.
Detailed Findings

Investor ownership in Garfield County is extraordinarily concentrated, with 79 properties representing 73.1% of the area's 108 single-family residential homes. This demonstrates a market where investors, not traditional homeowners, are the dominant players.

The investor base is composed almost entirely of small, private individuals. Individual landlords number 111 and own 73 properties (92.4% of the investor portfolio), compared to just 7 company landlords holding 7 properties (8.9%).

A defining feature of this market is its complete lack of leverage. All 79 investor-owned properties are held in cash, with zero properties carrying a mortgage. This points to a financially conservative, debt-averse investor strategy focused on long-term holds and cash flow.

Every investor-owned property is non-owner-occupied, confirming their use as rental units. This reinforces the image of Garfield County as a market heavily skewed towards rental housing provided by a large number of small-scale landlords.

The ratio of landlords to properties reveals a highly fragmented market. With 118 distinct landlords for 79 properties, it highlights that the vast majority are single-property owners, a structure that contrasts sharply with more consolidated urban markets.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
No pricing data is available as zero real estate transactions occurred in recent quarters.
Detailed Findings

The real estate market in Garfield County was completely illiquid, with no recorded sales in the recent quarter for which data is available. This absence of transactions makes it impossible to establish current market pricing for any buyer type.

Consequently, no comparison can be made between what landlords and traditional homeowners pay for properties. The typical pricing dynamics and investor discounts seen in more active markets cannot be analyzed here.

The lack of sales data prevents the calculation of price appreciation or depreciation. Timeframe analysis, including comparisons to the 2020-2023 period or previous quarters, is not feasible.

Without transactions, there is no way to differentiate pricing strategies between individual and company investors.

The key insight from the pricing data is the market's inactivity itself. This suggests a stable, buy-and-hold environment where property owners are not selling, and prospective buyers are not transacting, leading to a freeze in price discovery.

Current Quarter Purchase Summary

Analysis of Q1 2026 purchase activity by investor tier and type

Key Insight
Investor purchasing activity in Garfield County was zero in Q4 2025.
Detailed Findings

The investor acquisition market was entirely dormant in Q4 2025, with landlords purchasing zero properties. This reflects a broader market freeze, as the total number of SFR sales in the county was also zero.

Mom-and-pop landlords (Tiers 01-04), who constitute the entirety of the ownership base, made no new acquisitions. This signals a complete halt in portfolio growth for the dominant investor segment.

Similarly, institutional investors (Tier 09) were inactive, recording zero purchases. This is consistent with their overall 0.0% ownership share in the county, indicating no new interest from large-scale capital.

No new landlords entered the market during the quarter. The number of single-property entities making their first purchase was zero, indicating a static and closed ownership landscape.

The lack of any purchasing activity across all tiers underscores the market's current illiquidity and the prevailing hold-centric strategy among existing owners.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) exercise 100% control of Garfield County's investor market.
Detailed Findings

Garfield County's investor landscape is the definition of a mom-and-pop market, with these small landlords (1-10 properties) controlling 100% of the 79 investor-owned SFRs.

The market is exceptionally granular, with single-property landlords (Tier 01) alone accounting for 75 properties, a commanding 91.5% share. This highlights that the rental market is overwhelmingly supported by first-time or small-scale investors.

The next largest tier, two-property landlords, holds just 6 properties (7.3%), with the 3-5 property tier holding only 1 property (1.2%). This steep drop-off reinforces the dominance of the smallest investors.

There is zero presence from institutional investors (Tier 09). Large-scale firms have no footprint in this market, leaving it entirely to local and individual capital.

Due to the lack of transactions, it is not possible to analyze acquisition prices by tier. Price variations between small and large landlords cannot be determined.

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
Individual investors are the dominant owners in every tier, with no company-majority portfolios.
Detailed Findings

Individual investors overwhelmingly control every investor tier in Garfield County, reinforcing their market-wide dominance. There is no crossover point where companies become the majority owners; individuals lead across the board.

In the most significant tier, single-property landlords, individuals own 70 of the 75 properties (a 92.1% share), while companies own only 6 (7.9%).

This pattern continues into the two-property tier, where individuals own 4 properties (66.7%) compared to 2 for companies (33.3%).

Even in the small 3-5 property tier, the single property is held by an individual, giving them 100% control of that segment.

The complete absence of sales activity means no acquisition price data is available. Therefore, it is impossible to compare the purchasing behavior or pricing strategies of individual versus company investors within any tier.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor ownership is heavily concentrated in the 59337 zip code, home to 76 of the 79 properties.
Detailed Findings

The investor landscape in Garfield County is hyper-localized, with virtually all activity centered in the 59337 zip code. This single area contains 76 of the 79 total investor-owned properties in the county.

Investor ownership rates are exceptionally high. The 59322 zip code has a 100.0% investor ownership rate, although this is based on a small sample of just 2 properties. The much larger 59337 zip code has a rate of 73.1%, which is profoundly high.

A third zip code, 59077, also shows significant investor presence with a 50.0% ownership rate on a single property.

There is a direct correlation between the regions with the highest property counts and the highest ownership percentages. This indicates that investor strategy is not dispersed but is instead focused on creating high-density rental pockets in specific communities.

The data shows a market defined by a few key micro-locations rather than broad, county-wide investment, pointing to very specific drivers of rental demand.

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 landlord buying and selling patterns.
Detailed Findings

An analysis of historical transactions could not be performed due to a lack of available data for Garfield County. This prevents any assessment of long-term market dynamics and investor behavior.

It is impossible to determine whether landlords have been net buyers or sellers over time. The buy/sell ratio, a key indicator of market sentiment and portfolio growth, cannot be calculated.

Similarly, the data does not allow for a comparison of average buy prices versus sell prices. This means any analysis of potential profit margins or value appreciation over time is unfeasible.

The percentage of transactions that occur between landlords, a measure of market liquidity and sophistication, is unknown.

The absence of historical data aligns with the lack of current activity, suggesting that Garfield County is a market characterized by very low transaction velocity and long-term holds rather than frequent trading.

Current Quarter Transactions

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

Key Insight
Landlord transaction share was 0.0% in Q4 2025, reflecting a market with no sales activity.
Detailed Findings

In Q4 2025, landlords were not a factor in the transaction market, as no transactions of any kind were recorded in Garfield County. Their share of the market was 0.0%.

Analysis by tier shows a universal lack of activity. Transaction volumes were zero for mom-and-pop landlords (Tiers 01-04) and non-existent institutional investors alike.

As there were no purchases, average purchase prices by tier could not be calculated. It's impossible to discern if different-sized investors employ different pricing strategies in this market.

Inter-landlord trading activity was also zero. No properties were exchanged between existing investors, further highlighting the lack of liquidity in the market.

The complete halt in transactions across the board reinforces the primary finding for Garfield County: it is an investor-dominated market defined by stable, long-term ownership rather than active buying and selling.

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Executive Summary

Garfield County's Investor Market: 73.1% Ownership Rate Meets Zero Transaction Activity
Holdings
Investors own 79 SFR properties, a 73.1% share of the Garfield County market, with individual investors holding a dominant 92.4% (73 properties) of that portfolio.
Pricing
No pricing analysis is possible, as a complete lack of sales transactions in Q4 2025 prevented the establishment of market prices for either landlords or homeowners.
Activity
Investor acquisition activity was entirely frozen in Q4 2025, with landlords purchasing 0 properties and accounting for 0.0% of all sales. No new landlords entered the market.
Market Share
Small 'mom-and-pop' landlords (1-10 properties) have 100% control of the investor market, while institutional investors (1000+) have zero presence.
Ownership Type
Individual investors are the majority owners in every portfolio tier, from single-property to the 3-5 property bracket, with no crossover point to company dominance.
Transactions
With zero buys and zero sells recorded in Q4 2025, the net position of landlords is neutral; the market is characterized by a complete absence of liquidity.
Market Narrative

The investor landscape in Garfield County, Montana presents a unique case study in market dynamics, defined by exceptionally high ownership concentration and a complete absence of recent sales activity. Investors control a staggering 73.1% of the single-family housing stock, totaling 79 properties. This market is exclusively the domain of small, individual investors; 'mom-and-pop' landlords (1-10 properties) account for 100% of the investor-owned portfolio, with institutional firms having no footprint. Furthermore, ownership is dominated by individuals (92.4%) rather than companies, underscoring a landscape built on personal capital.

Investor behavior in Garfield County is characterized by stability and a lack of transactions. In Q4 2025, there were zero purchases and zero sales by landlords, mirroring the inactivity in the broader market. This halt in activity means no pricing data is available, preventing any comparison to traditional homeowners. A significant financial indicator is that 100% of the investor portfolio is owned with cash, with no properties financed. This points to a debt-averse, buy-and-hold strategy focused on long-term rental income rather than short-term appreciation or leveraged growth.

The primary takeaway is that Garfield County is an illiquid, non-transactional rental market, a stark contrast to the high-velocity urban centers often highlighted in discussions of real estate investing. The high penetration rate combined with zero sales activity suggests that property owners are content with their holdings, and the value lies in stable, long-term rental revenue. For analysts studying nationwide property datasets, this county serves as an important example of a rural market driven by entirely different forces than its metropolitan counterparts.

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 10:11 PM
Data Period Q1 2026
Geography Level County
Geography Garfield (MT)
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Chart Section2 Coverage
Chart Section2 Coverage
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Chart Section3 Ownership Donut
Chart Section3 Ownership Donut
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Chart Section3 Ownership Bar
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Chart Section4 Distribution
Chart Section4 Distribution
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Chart Section5 Holdings
Chart Section5 Holdings
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Chart Section8 Distribution
Chart Section8 Distribution
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Chart Section8 Prices
Chart Section8 Prices
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Chart Section8 Prices Q4
Chart Section8 Prices Q4
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Chart Section8 Prices 2020
Chart Section8 Prices 2020
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Chart Section9 Ownership
Chart Section9 Ownership
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Chart Section9 Growth
Chart Section9 Growth
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Chart Section9 Growth Q4
Chart Section9 Growth Q4
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Chart Section10 Top Regions
Chart Section10 Top Regions
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Chart Section10 Top Pct
Chart Section10 Top Pct

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