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

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

Market Overview

Total SFR Properties in Park (MT)
3,508
Total Investors in Park (MT)
1,322
Investor Owned SFR in Park (MT)
1,046(29.8%)
Individual Landlords
Landlords
1,183
SFR Owned
916
Corporate Landlords
Landlords
139
SFR Owned
155
Understanding Property Counts

Distinct Count Methodology: The total 1,046 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 Park County, Owning 99.2% of Investor SFRs
Investors own 1,046 SFR properties in Park County, representing a significant 29.8% of the market. In Q1 2026, landlords purchased 42.9% of all homes sold, with every single purchase made by a new, single-property investor. The market is defined by small-scale ownership, with institutional investors having no presence.
Landlord Owned Current Holdings
Investors own 1,046 SFRs in Park County, with individuals holding 87.6% of them.
The investor portfolio is heavily skewed towards cash purchases, with 725 properties owned outright compared to 321 that are financed. Of all properties held by landlords, 1,037 are classified as rented, signaling a strong focus on rental income generation. Individual landlords (1,183) vastly outnumber company landlords (139).
Landlord vs Traditional Homeowners
In Q1 2026, landlords paid a 4.7% premium over homeowners, at $559,667 vs $534,531.
This recent premium reverses a trend seen in mid-2025, where landlords secured significant discounts, including a 14.6% discount ($54,307) in Q2 2025. The price dynamic has been volatile, with landlords also paying an 8.1% premium in Q1 2025. There is no pricing data available to compare individual versus company investors.
Current Quarter Purchases
Landlords captured 42.9% of all home purchases in Park County during the last quarter.
Mom-and-pop landlords accounted for 100% of these acquisitions, with 6 new single-property investors entering the market. Institutional investors (1,000+ properties) made zero purchases, showing no activity in the county.
Ownership by Tier
Mom-and-pop investors (1-10 properties) control a near-total 99.2% of investor-owned SFRs.
Single-property landlords alone own 82.2% of all investor-held housing in the county. In stark contrast, institutional investors (1,000+ properties) have zero presence, owning 0.0% of the market.
Ownership by Tier & Type
Individual investors are the majority owners in every single investor tier in Park County.
There is no crossover point where companies become the majority owner. Even in the largest local tier (6-10 properties), individuals own 78.8% of the properties. Pricing differences between owner types cannot be determined from available data.
Geographic Distribution
The 59047 zip code holds the highest count of investor properties at 781.
However, smaller zip codes like 59018 and 59030 show extreme market penetration, with investor ownership rates of 68.9% and 68.2%, respectively. These areas have a much higher concentration of landlord ownership relative to their total housing stock.
Historical Transactions
Landlords are strong net buyers, acquiring 6 properties for every 1 they sold in Q1 2026.
This trend of accumulation is consistent, with a buy-to-sell ratio of 11-to-1 in 2025 (44 buys vs 4 sells) and over 13-to-1 in 2024 (53 buys vs 4 sells). There is no transaction data for institutional investors, as they are not active in this market.
Current Quarter Transactions
Landlords were a party to 42.9% of all transactions in Q1, acquiring 6 of 14 homes sold.
All 6 of these transactions were made by new, single-property investors, who paid an average price of $559,667. Notably, 0% of these purchases were from other landlords, indicating new investors are buying from the traditional market.

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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 1,046 SFRs in Park County, with individuals holding 87.6% of them.
Detailed Findings

In Park County, investors hold a significant 1,046 Single-Family Residential (SFR) properties, which accounts for 29.8% of the total 3,508 SFRs in the market. This high penetration rate indicates a strong real estate investing presence in the local housing ecosystem.

Individual investors are the overwhelming force, owning 916 properties, or 87.6% of the investor-held portfolio. Companies own the remaining 155 properties (14.8%), highlighting a market structure built on smaller, private ownership rather than large corporate entities.

The ownership landscape is composed of 1,322 distinct landlord entities, with 1,183 being individuals and 139 registered as companies. This 8.5-to-1 ratio of individual-to-company landlords further reinforces the mom-and-pop character of the market.

A strong preference for all-cash ownership is evident, with 725 properties held free and clear, more than double the 321 properties that are financed. This suggests many local investors have significant capital and may be less sensitive to interest rate fluctuations.

The portfolio is almost entirely dedicated to rental purposes, with 1,037 of the 1,046 properties identified as rented. This near-total rental focus underscores the primary strategy of investors in Park County as generating long-term rental income.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
In Q1 2026, landlords paid a 4.7% premium over homeowners, at $559,667 vs $534,531.
Detailed Findings

In a notable reversal of typical market patterns, landlords in Park County paid an average price of $559,667 in Q1 2026, which is $25,136, or 4.7%, higher than the average traditional homeowner purchase price of $534,531.

This Q1 premium contrasts sharply with purchasing behavior from the middle of last year. In Q2 2025, landlords achieved a deep discount of 14.6% ($54,307) and an 8.2% discount ($38,497) in Q3 2025, suggesting a shift in either market conditions or investor strategy at the start of 2026.

The pricing relationship between landlords and homeowners has been inconsistent. For example, in Q1 2025, landlords also paid a premium, averaging $537,838 compared to the homeowner price of $497,666, an 8.1% difference.

Overall acquisition prices have remained elevated. The average price during the 2020-2023 period was $442,771, indicating significant price appreciation in the market over the last few years.

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 captured 42.9% of all home purchases in Park County during the last quarter.
Detailed Findings

Investor activity was highly prominent in the last quarter, with landlords purchasing 6 of the 14 total SFRs sold in Park County, a commanding 42.9% market share of all transactions.

The entirety of this purchasing activity came from the smallest investors. All 6 properties were acquired by mom-and-pop landlords operating in Tiers 01-04, demonstrating that the market's growth is driven by small-scale players.

Notably, 100% of investor purchases were made by new entrants in the single-property (Tier 01) category. This influx of 6 new landlords indicates a healthy and accessible market for first-time investors.

The data reveals a complete absence of large-scale investors. Institutional landlords in Tier 09 (1,000+ properties) recorded zero purchases, underscoring the hyper-local, small-investor nature of Park County's real estate market.

This concentration of activity at the entry-level tier suggests that market conditions are favorable for individuals looking to begin or expand a small rental portfolio, rather than for large corporations seeking scale.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop investors (1-10 properties) control a near-total 99.2% of investor-owned SFRs.
Detailed Findings

The investor market in Park County is unequivocally dominated by mom-and-pop landlords. Tiers 01-04, representing owners with 1 to 10 properties, collectively own 99.2% of all investor-held SFRs.

Single-property landlords (Tier 01) form the bedrock of the market, holding 875 properties, which constitutes a remarkable 82.2% of the entire investor portfolio. This highlights the market's reliance on small, first-time investors.

The concentration at the small end of the scale is stark. The next largest tiers, two-property (Tier 02) and small landlords (Tier 03, 3-5 properties), own just 8.2% and 6.4% of properties, respectively.

Mid-size and large investors have a negligible footprint. Landlords with 11 or more properties collectively own less than 1% of the investor-owned housing stock in the county.

Confirming the local nature of the market, institutional investors (Tier 09, 1,000+ properties) have no ownership stake, with a 0.0% share. This complete absence challenges narratives of corporate landlord takeovers and points to a market driven entirely by small-scale capital.

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
Individual investors are the majority owners in every single investor tier in Park County.
Detailed Findings

Individual investors maintain majority ownership across all portfolio sizes in Park County, with no tier showing a preference for corporate ownership. In the entry-level single-property tier, individuals own 773 homes (86.9%) compared to 117 for companies (13.1%).

Unlike in many other markets, there is no crossover point where companies become the dominant owner type as portfolio sizes increase. The trend of individual dominance holds true even in larger local tiers.

For landlords owning 6-10 properties (Tier 04), individuals still own a commanding 78.8% share (26 properties), while companies hold just 21.2% (7 properties).

This consistent pattern shows that the growth path for investors in Park County is primarily through personal ownership rather than incorporation, even as they scale their portfolios.

The data does not provide a breakdown of acquisition prices by owner type, so it is not possible to compare the purchasing strategies or price points of individual versus company buyers within specific tiers.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
The 59047 zip code holds the highest count of investor properties at 781.
Detailed Findings

Geographic analysis reveals a significant concentration of investor-owned properties in specific areas of Park County. The 59047 zip code is the epicenter of activity by volume, containing 781 investor-owned SFRs.

While 59047 leads in absolute numbers, other zip codes demonstrate a much higher saturation of investor ownership. The 59018 zip code has the highest penetration rate, with investors owning 68.9% of the area's SFR housing stock.

Close behind are 59030 (68.2% investor-owned), 59081 (64.3%), and 59086 (64.0%), all showing that investors own well over half of the single-family homes in those communities.

This distinction between high-volume and high-penetration areas is critical. The 59047 zip code, despite having the most properties, has a lower investor ownership rate of 25.3% compared to the smaller, more saturated zip codes.

These patterns suggest different market dynamics are at play, with some areas attracting a large number of investors and others being fundamentally defined by non-owner-occupied housing.

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 strong net buyers, acquiring 6 properties for every 1 they sold in Q1 2026.
Detailed Findings

Transaction data reveals that landlords in Park County are aggressively accumulating properties rather than divesting. In Q1 2026, investors purchased 6 SFRs while selling only 1, establishing a strong net-buyer position.

This pattern of net accumulation is not new. In 2025, landlords acquired 44 properties and sold only 4, a buy-to-sell ratio of 11-to-1. The trend was even stronger in 2024, with 53 purchases against just 4 sales.

The consistent, high-volume buying activity paired with minimal selling indicates strong confidence among local investors in the long-term value of Park County real estate.

Given the complete absence of institutional investors (1,000+ property tier) in the county, all transaction activity is attributable to smaller mom-and-pop and mid-size landlords.

The data does not specify the percentage of transactions that are landlord-to-landlord, but the net positive flow of properties into investor portfolios is the dominant market trend.

Current Quarter Transactions

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

Key Insight
Landlords were a party to 42.9% of all transactions in Q1, acquiring 6 of 14 homes sold.
Detailed Findings

In the first quarter of 2026, landlords played a major role in the market, participating in 42.9% of all SFR transactions. They acquired 6 of the 14 properties that were sold county-wide.

The entirety of this landlord buying activity was driven by the smallest investor tier. Single-property landlords accounted for all 6 transactions, signaling that market growth is fueled by new entrants.

These new landlords paid an average of $559,667 for their properties. With no other tiers making purchases, it's clear that the entry-level segment is the most active and sets the pricing benchmark for investor acquisitions this quarter.

A significant finding is that none of the properties purchased by these new landlords came from existing investors. The 0% 'Bought From Landlords' rate shows that new capital is flowing into the rental market from the traditional home sales market, rather than properties being traded between investors.

Institutional investors logged zero transactions, reinforcing their non-existent role in the Park County transaction market.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Park County's investor market is defined by mom-and-pop landlords, who own 99.2% of investor SFRs and captured 42.9% of Q1 sales.
Holdings
Landlords own 1,046 SFR properties, representing a 29.8% penetration of Park County's market, with individual investors overwhelmingly holding 87.6% of these properties compared to companies at 14.8%.
Pricing
In Q1 2026, landlords paid an average of $559,667, a 4.7% premium over traditional homeowners ($534,531), reversing a trend of discounts seen in prior quarters.
Activity
Landlords purchased 42.9% of all homes sold in Q1 (6 properties), with 100% of this activity driven by 6 new single-property landlords entering the market.
Market Share
Small mom-and-pop landlords (1-10 properties) control a near-total 99.2% of investor-owned housing, while institutional investors (1,000+ properties) have no presence at 0.0%.
Ownership Type
Individual investors dominate every ownership tier, holding a 78.8% majority even in the largest local portfolios of 6-10 properties, with no crossover point to corporate control.
Transactions
Landlords remain aggressive net buyers with a 6-to-1 buy-to-sell ratio in Q1 (6 buys vs 1 sell), a consistent accumulation trend seen over the past two years.
Market Narrative

The real estate investor landscape in Park County, Montana, is characterized by the profound dominance of small, individual landlords. Investors own 1,046 single-family properties, a significant 29.8% of the total market. This portfolio is overwhelmingly controlled by individuals, who own 87.6% of these homes, compared to just 14.8% for companies. The market structure is highly fragmented and localized; mom-and-pop investors (1-10 properties) control a staggering 99.2% of all investor-owned housing, while institutional-scale investors have zero presence.

In terms of recent activity, landlords were a formidable force in Q1 2026, purchasing 42.9% of all homes sold. This growth was fueled exclusively by new entrants, with six single-property landlords making up the entirety of investor acquisitions. In a notable market shift, these investors paid a 4.7% premium over traditional homeowners, a reversal from discounts seen in mid-2025. Transaction data confirms a strong accumulation strategy, as landlords operated as net buyers with a 6-to-1 buy-to-sell ratio in the first quarter, continuing a multi-year trend of expanding their portfolios.

The key takeaway from this Investor Pulse report is that Park County is a quintessential mom-and-pop market, defying the national narrative of corporate landlord expansion. High investor penetration rates in specific zip codes, such as 68.9% in 59018, show that certain communities are fundamentally shaped by rental housing. The market's health and direction are dictated not by large funds, but by the financial decisions of hundreds of small-scale, local investors who continue to demonstrate strong confidence by consistently buying more properties than they sell.

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 10:17 PM
Data Period Q1 2026
Geography Level County
Geography Park (MT)
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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 Section6 Prices
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Chart Section6 Prices Alt
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Chart Section6 Yoy Comparison
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Chart Section6 Trends
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Chart Section7 Purchases
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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
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Chart Section8 Prices 2020
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Chart Section8 Yoy Comparison
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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 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
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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

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How to cite this report

BatchData. (2026). Q1 2026 Park (MT) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-mt-park/. Licensed under CC BY-NC-ND 4.0.