Big Horn (MT) Investor Pulse Report (2026-Q1)

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

Market Overview

Total SFR Properties in Big Horn (MT)
1,069
Total Investors in Big Horn (MT)
420
Investor Owned SFR in Big Horn (MT)
384(35.9%)
Individual Landlords
Landlords
346
SFR Owned
303
Corporate Landlords
Landlords
74
SFR Owned
100
Understanding Property Counts

Distinct Count Methodology: The total 384 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-Owned SFRs Comprise 36% of Big Horn County, a Market Dominated by Small Landlords and Halted Sales Activity
Investors own 384 SFR properties in Big Horn County, MT, representing a significant 35.9% of the market. The landscape is controlled by individuals (78.9% of holdings) and small mom-and-pop landlords (93.9%), with zero institutional presence. A complete lack of sales activity in Q4 2025 signals a static, illiquid market where assets are held long-term, entirely with cash.
Landlord Owned Current Holdings
Investors own 35.9% of SFRs, with individuals holding 303 of the 384 properties.
All 384 investor-owned properties were acquired with cash, as none are currently financed. Of these, 368 are registered as rented, indicating 95.8% of the portfolio is actively used for rental income.
Landlord vs Traditional Homeowners
No Q4 2025 sales were recorded, making price comparisons between landlords and homeowners impossible.
The complete absence of transaction data for the quarter prevents any analysis of acquisition price trends or the typical landlord-homeowner price gap. Market activity appears to have been completely frozen.
Current Quarter Purchases
Landlords acquired 0.0% of the market's 0 total SFR purchases in Q4 2025.
Acquisition activity was nonexistent across all investor types. Mom-and-pop landlords and institutional investors both recorded zero purchases for the quarter, indicating no new market entries.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control 93.9% of investor-owned SFRs.
Institutional investors (1000+ properties) have zero presence in this market, owning 0.0% of the portfolio. The single-property landlord tier alone accounts for 68.1% of all investor-owned housing.
Ownership by Tier & Type
Individuals own property across all active tiers, including 100% of the 11-20 property portfolio.
Companies do not achieve majority ownership at any tier. Their strongest presence is in the two-property tier, where they own 14 properties, or 40.0% of that segment.
Geographic Distribution
Investor ownership is highly concentrated, with zip code 59050 showing an 81.5% investor rate.
Zip code 59034 contains the largest number of investor-owned homes at 268, representing a 29.5% ownership rate. In contrast, zip code 59089 has an extremely high penetration rate of 76.9% but a smaller total count.
Historical Transactions
No historical transaction data is available, preventing analysis of net buyer status or inter-landlord trades.
The absence of buy/sell history means long-term market dynamics, such as landlord-to-landlord sales or profit margins from acquisitions to sales, cannot be determined.
Current Quarter Transactions
Landlords accounted for 0.0% of transactions in Q4 2025, as the market saw zero total sales.
No transactions were recorded across any investor tier, from single-property to mid-size landlords. This confirms a market-wide halt in activity, with no properties changing hands.

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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 35.9% of SFRs, with individuals holding 303 of the 384 properties.
Detailed Findings

In Big Horn County, MT, investors hold a substantial 35.9% of the single-family residential market, totaling 384 properties out of 1,069. This high penetration rate indicates a significant portion of the local housing stock is utilized for real estate investing.

Individual investors are the primary owners, controlling 303 properties, which accounts for 78.9% of the investor-owned portfolio. Company entities own the remaining 100 properties (26.0%), a smaller but still notable share.

A defining characteristic of this market is its complete lack of leverage. All 384 investor-owned properties are held free and clear, with zero properties recorded as financed. This 100% cash ownership suggests a financially conservative investor base focused on long-term holds rather than leveraged growth.

The portfolio is heavily geared towards rental income, with 368 of the 384 properties (95.8%) classified as rented. This demonstrates that the vast majority of investor-owned homes are active components of the local rental supply.

The market consists of 420 distinct landlord entities, with individual landlords (346) outnumbering company landlords (74) by a ratio of nearly 5 to 1, reinforcing the small-scale nature of property investment in the county.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
No Q4 2025 sales were recorded, making price comparisons between landlords and homeowners impossible.
Detailed Findings

A critical finding for Big Horn County is the complete halt in market activity, with zero recorded sales transactions in the most recent quarter for either landlords or traditional homeowners. This lack of data makes a direct price comparison impossible.

Without recent sales, it is not possible to establish an average acquisition price for landlords or determine if they are paying a premium or a discount compared to other buyers.

The absence of transactions also prevents any analysis of price appreciation or depreciation trends from previous periods like 2024 or the 2020-2023 timeframe.

This market stillness is the most significant pricing insight itself, pointing to extreme illiquidity or a market in equilibrium where no owners are compelled to sell and no buyers are entering.

Current Quarter Purchase Summary

Analysis of Q1 2026 purchase activity by investor tier and type

Key Insight
Landlords acquired 0.0% of the market's 0 total SFR purchases in Q4 2025.
Detailed Findings

In Q4 2025, the Big Horn County real estate market experienced a complete standstill, with zero total SFR purchases recorded. Consequently, landlords accounted for 0.0% of market activity, acquiring no new properties.

This inactivity was universal across all investor tiers. Mom-and-pop landlords (1-10 properties), who represent the overwhelming majority of owners, did not add any properties to their portfolios.

Similarly, there was no purchasing activity from mid-size or institutional investors, reinforcing the market-wide freeze on acquisitions.

The data indicates that no new landlords entered the market in Q4, as the single-property (Tier 01) category saw zero new purchases. This lack of new entrants is consistent with the overall static nature of the market.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) control 93.9% of investor-owned SFRs.
Detailed Findings

The ownership structure in Big Horn County is overwhelmingly dominated by small-scale investors. Mom-and-pop landlords, defined as those owning 1-10 properties, control a combined 93.9% of all investor-owned SFRs.

Single-property landlords are the bedrock of the market, owning 267 properties, which represents 68.1% of the entire investor portfolio. This highlights a market built on a large number of very small investors.

In stark contrast, there is no institutional investor presence. The 1,000+ property tier holds 0.0% of the market, indicating that large corporate landlords have not entered Big Horn County.

Mid-size investors are also scarce. The 11-20 property tier holds a modest 23 properties (5.9%), and there is only one property held by an owner in the 51-100 tier.

Due to the lack of recent transactions across all tiers, no meaningful price analysis by portfolio size is possible. The market's structure appears stable and has not been altered by recent acquisition trends.

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
Individuals own property across all active tiers, including 100% of the 11-20 property portfolio.
Detailed Findings

Individual investors are the dominant force across nearly every portfolio size in Big Horn County. They own 81.0% of single-property rentals (226 properties) and over 70% of properties in the 3-5 unit tier.

A notable pattern is that individuals exclusively control the largest active investor tier, owning all 23 properties (100%) in the 11-20 property segment. This defies the typical trend where corporate ownership increases with portfolio size.

Companies have their most significant foothold in the two-property tier, holding 14 properties (40.0%). This suggests that when investors begin to scale beyond a single property, some choose a corporate structure, but individuals remain the majority owner type overall.

The data does not show a clear crossover point where companies become the majority owner, as individuals maintain a strong presence even as portfolios grow.

Pricing analysis by owner type within tiers is unavailable due to the complete lack of sales transactions in the recent quarter.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor ownership is highly concentrated, with zip code 59050 showing an 81.5% investor rate.
Detailed Findings

Geographic analysis reveals extreme concentrations of investor ownership in specific zip codes within Big Horn County. The zip code 59050 stands out with an 81.5% investor ownership rate, meaning investors own more than four out of every five SFRs.

Another area of high penetration is 59089, with a 76.9% investor ownership rate. These hyper-concentrated sub-markets suggest niche rental demand or historical ownership patterns that have shaped the local housing stock.

In terms of raw numbers, the largest concentration of investor properties is in zip code 59034, which hosts 268 investor-owned homes. However, its ownership rate of 29.5% is more moderate compared to other zips.

This highlights a key distinction between where investors own the most properties (59034) and where they dominate the market (59050 and 59089).

Data for several zip codes, including 59016, 59025, and 59031, was unavailable, indicating potential data gaps or very low property counts in those areas.

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 net buyer status or inter-landlord trades.
Detailed Findings

A comprehensive analysis of historical transaction patterns for Big Horn County is not possible due to the absence of available data. There are no records of past buy or sell transactions for landlords.

Consequently, it is impossible to calculate a buy/sell ratio to determine whether landlords have historically been net buyers or net sellers in this market.

The lack of data also prevents an assessment of market liquidity and churn, including the percentage of transactions that are landlord-to-landlord sales. This metric is often a key indicator of a mature investment market.

Similarly, no analysis of institutional transaction behavior can be performed, which aligns with the finding that there is no institutional ownership in the county.

Without historical prices for acquisitions and sales, calculating implied profit margins or tracking price trends over time is not feasible.

Current Quarter Transactions

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

Key Insight
Landlords accounted for 0.0% of transactions in Q4 2025, as the market saw zero total sales.
Detailed Findings

The transaction summary for Q4 2025 reflects a completely dormant market in Big Horn County, with zero total SFR transactions recorded. As a result, the landlord share of transactions was 0.0%.

This inactivity was consistent across all investor portfolio sizes. The typically active mom-and-pop tiers (1-10 properties) recorded zero purchases or sales.

No inter-landlord trading occurred during the quarter, as there were no transactions of any kind. This indicates a lack of portfolio repositioning or sales between investors.

The average purchase price for all tiers was effectively $0, given the absence of sales. This lack of recent price data further underscores the market's illiquidity.

The complete freeze in transactions is the most critical finding, suggesting that property owners are holding their assets with no immediate plans to sell, and no new investors are entering the market.

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Executive Summary

Small Landlords Control 36% of Big Horn County's Housing in a Market Defined by Cash Ownership and Zero Sales
Holdings
Landlords own 384 SFR properties, representing 35.9% of Big Horn County's market. Individual investors are the dominant force, holding 303 of these properties (78.9%), while companies own the remaining 100 (26.0%).
Pricing
No pricing analysis is available, as zero sales transactions were recorded for landlords or homeowners in Q4 2025, indicating a completely frozen market.
Activity
Investor acquisition activity was nonexistent in Q4 2025, with landlords purchasing 0 properties, representing 0.0% of all sales. No new landlords entered the market during this period of inactivity.
Market Share
Small mom-and-pop landlords (1-10 properties) overwhelmingly control the market with 93.9% of all investor-owned housing, while institutional investors have no presence (0.0%).
Ownership Type
Individual investors dominate ownership across all portfolio sizes and exclusively control the largest active tier (11-20 properties); companies never become the majority owner.
Transactions
With zero transactions recorded in Q4 2025, it is impossible to determine a net buyer or seller status for landlords. The market displayed a complete lack of transactional activity.
Market Narrative

Big Horn County, MT presents a unique real estate investment landscape characterized by high penetration, small-scale ownership, and extreme illiquidity. Investors own 384 single-family homes, a substantial 35.9% of the total market, signaling that a significant portion of the housing stock serves as rental properties. This portfolio is overwhelmingly controlled by local players, with individual investors owning 78.9% of the assets and small mom-and-pop landlords (1-10 properties) accounting for 93.9% of all investor-held homes. Notably, the market has zero institutional footprint, and all 384 properties are owned outright with cash, indicating a debt-averse, long-term holding strategy.

Investor behavior in the most recent quarter underscores the market's static nature. There were zero purchases and zero sales recorded in Q4 2025, bringing acquisition and transaction activity to a complete halt. This lack of movement prevents any analysis of pricing, including the typical discount investors might achieve compared to homeowners. The data suggests that properties in this county are treated as stable, income-generating assets rather than commodities for frequent trading. The high concentration of ownership in specific zip codes, such as 59050 (81.5% investor-owned), points to very localized and specialized rental markets.

The key takeaway from this market report is that Big Horn County is a closed-loop system of long-term rental providers, not an active market for flipping or rapid portfolio growth. The total absence of leverage and transactions suggests a mature market where owners are content with existing cash flows and there is little to no speculative pressure. For anyone analyzing the U.S. housing market, Big Horn County serves as an important example of a rural, cash-driven rental economy that operates entirely differently from high-velocity urban and suburban investment hubs.

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 10:07 PM
Data Period Q1 2026
Geography Level County
Geography Big Horn (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
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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
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Chart Section10 Top Regions
Chart Section10 Top Regions
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Chart Section10 Top Pct
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Licensing & Usage Rights

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