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

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

Market Overview

Total SFR Properties in Jefferson (MT)
736
Total Investors in Jefferson (MT)
614
Investor Owned SFR in Jefferson (MT)
429(58.3%)
Individual Landlords
Landlords
579
SFR Owned
398
Corporate Landlords
Landlords
35
SFR Owned
37
Understanding Property Counts

Distinct Count Methodology: The total 429 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 58.3% of Homes in Jefferson County, Dominated by Local Mom-and-Pop Landlords
In Jefferson County, investors own an exceptionally high 429 of 736 single-family properties (58.3%), a market controlled almost entirely by mom-and-pop landlords (99.5%). In Q1 2026, landlords secured a significant 32.4% price discount compared to homeowners and acquired 55.6% of all homes sold.
Landlord Owned Current Holdings
Investors own 429 SFR properties, with individual landlords holding a 92.8% majority.
Of the investor-owned properties, 61.5% (264 properties) are owned free-and-clear as cash assets, while 38.5% (165 properties) are financed. The portfolio is entirely rental-focused, with 100% of the 429 properties classified as non-owner-occupied.
Landlord vs Traditional Homeowners
Landlords paid 32.4% less than homeowners in Q1, a $151,478 average discount.
This marks a sharp reversal from 2025, when landlords paid premiums of up to 9.0% over homeowners in Q3. The average landlord acquisition price in Q1 was $316,516, compared to the homeowner average of $467,994.
Current Quarter Purchases
Landlords acquired 55.6% of all properties sold in the latest quarter.
Mom-and-pop landlords (1-10 properties) accounted for 100% of these 5 purchases. New or single-property investors were the most active, acquiring 4 of the 5 properties (80%).
Ownership by Tier
Mom-and-pop landlords control 99.5% of all investor-owned housing in Jefferson County.
Single-property landlords alone own 91.9% of the investor-owned SFR market, with 399 properties. Institutional investors with over 1,000 properties have zero presence in this market.
Ownership by Tier & Type
Companies become the majority owner in portfolios of just 3-5 properties.
While individuals dominate smaller tiers, owning 93.6% of single-property portfolios, companies hold 57.1% of properties in the 3-5 unit tier. This marks a very early crossover point for incorporation.
Geographic Distribution
Investor activity is heavily concentrated in the 59632 zip code, with a 74.6% ownership rate.
The 59632 zip code contains 208 investor-owned properties, making it both the volume and penetration rate leader in Jefferson County. Other zip codes like 59631 and 59638 have much lower counts but still show significant investor penetration at 31.0% and 28.6%, respectively.
Historical Transactions
Insufficient historical data is available to determine net buyer/seller status or inter-landlord trade volume.
The historical transaction logs for Jefferson County do not contain enough data to reliably calculate buy-to-sell ratios, landlord-to-landlord transaction percentages, or average profit margins from sales over time. A clear long-term trend cannot be established from the available information.
Current Quarter Transactions
Landlords were involved in 57.1% of all Q1 property transactions, all by mom-and-pop investors.
All 8 landlord transactions were acquisitions from homeowners, as 0% were sourced from other landlords. The smallest investors (Tier 01) paid the highest average price at $345,490 per property.

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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 429 SFR properties, with individual landlords holding a 92.8% majority.
Detailed Findings

Investor ownership in Jefferson County is remarkably high, with landlords holding 429 of the 736 total Single-Family Residential (SFR) properties, representing a 58.3% market share. This level of penetration indicates a market heavily structured around real estate investing and rental housing.

The ownership structure is overwhelmingly composed of individuals rather than corporations. Individual landlords own 398 properties, accounting for 92.8% of the investor portfolio, while companies own just 37 properties (8.6%). This dynamic is also reflected in the entity count, with 579 individual landlords compared to only 35 company entities.

A significant portion of the investor portfolio is held without debt. Cash-owned properties total 264, or 61.5% of all landlord holdings, compared to 165 financed properties (38.5%). This suggests a financially stable and low-leverage investor base in the county.

The entire investor portfolio of 429 properties is classified as rented or non-owner-occupied, confirming that these holdings are actively part of the local rental supply. This comprehensive market view is built on reliable assessor data that tracks ownership and occupancy status.

The data clearly illustrates a market dominated by small, local investors. The high percentage of individual ownership and cash-financed properties points to a mature, fragmented rental market rather than one driven by large, institutional capital.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords paid 32.4% less than homeowners in Q1, a $151,478 average discount.
Detailed Findings

In a dramatic shift in market dynamics, landlords in Jefferson County secured properties at a massive 32.4% discount compared to traditional homeowners in Q1 2026. The average landlord acquisition price was $316,516, a full $151,478 less than the average homeowner price of $467,994.

This deep discount is a stark reversal from the previous year. In Q3 2025, landlords paid a 9.0% premium ($396,351 vs. $363,773), and in Q2 2025, they paid a 7.0% premium ($341,796 vs. $319,412). The emergence of a significant discount in Q1 suggests a major change in purchasing strategy or market conditions favoring investors.

Property values have shown considerable appreciation since the pandemic-era boom. The average landlord acquisition price during 2020-2023 was $254,214, indicating that Q1 2026 prices are approximately 24.5% higher than in the preceding years, even with the newly established discount.

The ability of investors to find and secure deals well below the homeowner market rate demonstrates a sophisticated acquisition approach. Tools like a robust property search platform enable investors to identify opportunities that may not be available to the general public.

The trend reversal from paying premiums to capturing steep discounts is the most significant pricing development in the Jefferson County market. It signals that investors are now in a much stronger negotiating position than they were in the recent past.

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 55.6% of all properties sold in the latest quarter.
Detailed Findings

Investor activity dominated the Jefferson County sales market in the most recent quarter, with landlords purchasing 5 of the 9 total SFR properties sold, a market share of 55.6%. This high purchase rate underscores their ongoing influence on local housing inventory.

The entirety of this purchasing activity came from mom-and-pop investors in Tiers 01-04. Institutional investors (Tier 09) made no acquisitions, reinforcing the theme of a market driven by small-scale players.

New entrants and single-property landlords (Tier 01) were the primary drivers of demand, acquiring 4 properties, which represents 80% of all investor purchases. This indicates a healthy influx of new capital from first-time or small investors.

The remaining 20% of investor purchases came from a small landlord in the 3-5 property tier, who acquired a single home. The concentration of activity at the smallest end of the investor spectrum highlights a grassroots, rather than a corporate, expansion of rental portfolios in the county.

With zero properties acquired by mid-size or institutional players, the recent quarter's activity confirms that market growth is fueled by local individuals and small-scale landlords increasing their holdings one property at a time.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords control 99.5% of all investor-owned housing in Jefferson County.
Detailed Findings

The investor landscape in Jefferson County is the definitive example of a mom-and-pop market. Landlords with 1-10 properties (Tiers 01-04) own a combined 99.5% of all investor-held SFRs, demonstrating near-total control of the rental sector.

Ownership is exceptionally concentrated at the smallest scale. Single-property landlords (Tier 01) are the backbone of the market, holding 399 properties, which accounts for a staggering 91.9% of the entire investor portfolio. Two-property owners add another 5.1%.

In stark contrast, institutional ownership is nonexistent. The 1,000+ property tier (Tier 09) holds 0.0% of the market, completely subverting the narrative of large corporations dominating residential real estate in this area.

The remaining small tiers contribute minimally to the total. Landlords with 3-5 properties own 1.6%, those with 6-10 properties own 0.9%, and the 11-20 property tier holds just 0.5%.

This distribution reveals a highly fragmented market composed of hundreds of individual owners rather than a handful of large portfolios. This structure, detailed in such Investor Pulse reports, is crucial for understanding local housing supply and landlord behavior.

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
Companies become the majority owner in portfolios of just 3-5 properties.
Detailed Findings

While the Jefferson County market is overwhelmingly individual-driven, a clear pattern of incorporation emerges as portfolios grow, even slightly. Individuals dominate the entry-level tiers, owning 379 of the single-property holdings (93.6%) and 21 of the two-property holdings (95.5%).

The strategic shift occurs in the small 3-5 property tier. Within this bracket, companies own 4 properties, representing a 57.1% majority stake compared to the 3 properties (42.9%) held by individuals. This is a very low threshold for the ownership structure to flip from personal to corporate.

This early crossover suggests that local investors who decide to expand beyond two properties often see a strategic advantage in incorporating. This could be for liability protection, financing purposes, or operational efficiency as they begin to manage a small portfolio.

Company ownership remains a small fraction of the total market, with only 37 properties overall. However, their concentration in the 3-5 property tier reveals a deliberate business decision made by landlords pursuing even modest growth.

This finding highlights a key transition point in an investor's journey within Jefferson County. The move from one or two properties to three often coincides with the professionalization of their holdings under a corporate entity.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is heavily concentrated in the 59632 zip code, with a 74.6% ownership rate.
Detailed Findings

Geographic analysis reveals that investor activity in Jefferson County is not evenly distributed but is instead highly concentrated in a single area. The 59632 zip code is the undisputed epicenter, home to 208 investor-owned properties.

This concentration in 59632 is even more stark when viewed as a percentage of the local housing stock. Investors own 74.6% of all SFR properties in this zip code, an exceptionally high rate that defines the community's housing landscape.

While no other area comes close to this level of saturation, other zip codes also exhibit strong investor presence. In 59631, investors own 31.0% of SFRs (9 properties), and in 59638, they own 28.6% (4 properties). These rates are significant and well above national averages.

The 59634 zip code has the second-highest count of investor properties at 19, but this represents a more moderate ownership rate of 24.1%. This highlights the difference between areas with a high absolute count versus a high penetration rate.

The data clearly shows that anyone looking to understand the rental market in Jefferson County must focus on the unique dynamics within the 59632 zip code, where three out of every four homes are investor-owned.

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
Key Insight
Insufficient historical data is available to determine net buyer/seller status or inter-landlord trade volume.
Detailed Findings

A complete analysis of long-term transaction trends in Jefferson County is not possible due to insufficient historical data. Key metrics such as buy/sell ratios, which determine if landlords are net buyers or sellers over time, cannot be reliably calculated.

Similarly, the volume of inter-landlord trading remains unclear. The data does not provide a sufficient baseline to determine the percentage of transactions that occur between investors, a key indicator of market liquidity and sophistication.

Without historical buy and sell price averages, it is not possible to analyze implied profit margins or pricing trends in dispositions. This prevents a full understanding of the financial outcomes of real estate investor sales in the county.

This lack of historical data is common in smaller, less-liquid markets. While current activity can be tracked, establishing multi-year patterns requires a larger volume of transactions than has been recorded here.

Therefore, any conclusions about market direction must be drawn exclusively from the most recent quarterly activity, as a long-term historical context for buying and selling pressure is unavailable in this specific market report.

Current Quarter Transactions

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

Key Insight
Landlords were involved in 57.1% of all Q1 property transactions, all by mom-and-pop investors.
Detailed Findings

In the first quarter of 2026, landlords played a central role in market activity, participating in 8 of the 14 total SFR transactions for a 57.1% share. This activity was entirely on the buy-side, confirming investors were a primary source of demand.

The transactions were exclusively carried out by mom-and-pop landlords. Single-property investors (Tier 01) were most active with 7 transactions, while the small landlord tier (3-5 properties) completed one. No transactions were recorded for institutional or mid-size investors.

A notable finding from the quarter is that 0% of investor acquisitions were sourced from other landlords. This indicates that investors are expanding their portfolios by purchasing from the traditional homeowner market, rather than trading assets among themselves.

Interestingly, the smallest investors paid the highest prices. The Tier 01 buyers paid an average of $345,490, while the single transaction in the 3-5 property tier was for a much lower-priced property at $113,700. This suggests entry-level investors may be competing for more conventional, move-in-ready homes.

The quarter's transaction data solidifies the picture of a market where growth comes from small, local investors acquiring properties from the general public, signaling a direct transfer of housing stock from owner-occupiers to the rental market.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Jefferson County's housing is dominated by small investors, who own 58.3% of all SFRs and bought over half of homes sold in Q1.
Holdings
In Jefferson County, landlords own 429 of the 736 single-family properties, a market penetration of 58.3%. The portfolio is controlled by individual investors, who own 398 of these properties (92.8%), versus just 37 (8.6%) owned by companies.
Pricing
Landlords achieved a significant pricing advantage in Q1 2026, paying an average of $316,516, which is 32.4% less than the $467,994 paid by traditional homeowners, a savings of $151,478 per property.
Activity
Investors were a major force in the Q1 market, purchasing 5 of the 9 homes sold for a 55.6% share of all acquisitions. Activity was led by new and single-property landlords, who were responsible for 80% of investor purchases.
Market Share
The local market is defined by small-scale ownership, with mom-and-pop landlords (1-10 properties) controlling 99.5% of all investor-owned housing. Institutional investors (1,000+ properties) have no presence, owning 0% of the market.
Ownership Type
While individuals dominate the investor landscape, companies become the majority owners in portfolios starting at just 3-5 properties, representing a key strategic shift for investors looking to grow beyond a couple of homes.
Transactions
Based on Q1 2026 activity, landlords were exclusively net buyers, acquiring 8 properties with no recorded sales. Historical data is insufficient to establish long-term buy/sell ratios or institutional net positions.
Market Narrative

The housing market in Jefferson County, Montana is uniquely characterized by its exceptionally high rate of investor ownership, with 429 of the 736 single-family properties (58.3%) held by landlords. This market is not the playground of large corporations but is profoundly local and fragmented. Individual real estate investors own 92.8% of this portfolio, and small mom-and-pop landlords (1-10 properties) control a staggering 99.5% of all investor-owned homes, leaving no footprint for institutional capital. This composition, derived from comprehensive property datasets, points to a mature rental economy sustained by hundreds of small-scale operators.

Investor behavior in the first quarter of 2026 highlights a position of market strength and continued accumulation. Landlords acquired 55.6% of all homes sold, demonstrating significant purchasing power. They also achieved a remarkable pricing advantage, paying an average of 32.4% less than traditional homeowners, a sharp reversal from paying premiums in 2025. All recorded Q1 landlord transactions were acquisitions, signaling a period of net buying, with all properties sourced from the general market rather than from other investors.

The key takeaway from this analysis is that Jefferson County represents a hyper-localized, small-investor-driven rental market. The high ownership rate, coupled with the dominance of mom-and-pop landlords and the significant purchasing discounts, suggests that local investors possess deep market knowledge and an effective acquisition strategy. The lack of institutional presence means the future of the county's rental housing supply rests firmly in the hands of its numerous, small-scale community stakeholders, a critical insight for anyone analyzing this unique housing ecosystem.

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 10:13 PM
Data Period Q1 2026
Geography Level County
Geography Jefferson (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 Section6 Prices
Chart Section6 Prices
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Chart Section6 Prices Alt
Chart Section6 Prices Alt
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Chart Section6 Yoy Comparison
Chart Section6 Yoy Comparison
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Chart Section6 Trends
Chart Section6 Trends
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Chart Section7 Purchases
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
Chart Section8 Prices Q4
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Chart Section8 Prices 2020
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Chart Section8 Yoy Comparison
Chart Section8 Yoy Comparison
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Chart Section9 Ownership
Chart Section9 Ownership
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Chart Section9 Growth
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Chart Section9 Growth Q4
Chart Section9 Growth Q4
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Chart Section9 Yoy Comparison
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 Section12 Transactions
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 Jefferson (MT) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-mt-jefferson/. Licensed under CC BY-NC-ND 4.0.