Custer (CO) Investor Pulse Report (2026-Q1)

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

Market Overview

Total SFR Properties in Custer (CO)
3,858
Total Investors in Custer (CO)
3,257
Investor Owned SFR in Custer (CO)
2,217(57.5%)
Individual Landlords
Landlords
2,983
SFR Owned
1,970
Corporate Landlords
Landlords
274
SFR Owned
273
Understanding Property Counts

Distinct Count Methodology: The total 2,217 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

Custer County is a mom-and-pop landlord stronghold with 99.3% ownership and zero institutional presence.
Investors own 57.5% of Custer County's SFR market, with mom-and-pop landlords controlling 99.3% of that portfolio. In Q1 2026, landlords continued to accumulate property, paying 3.8% less than homeowners and acting as aggressive net buyers with a 33-to-1 buy/sell ratio, while institutional investors remain completely absent from the market.
Landlord Owned Current Holdings
Landlords own 2,217 properties in Custer County, with individuals holding a dominant 88.9% share.
Cash is the preferred method of acquisition, with 1,663 properties owned outright compared to just 554 that are financed. The portfolio is almost entirely investment-focused, as 2,211 of the 2,217 properties are classified as rented.
Landlord vs Traditional Homeowners
Landlords paid 3.8% less than homeowners in Q1 2026, a discount of $17,644 per property.
The price gap between landlords and homeowners is highly volatile, swinging from a 31.1% landlord premium in Q3 2025 to a 37.2% discount in Q2 2025, likely due to low transaction volumes. Pricing data comparing individual and company buyers is not available.
Current Quarter Purchases
Landlords acquired a dominant 61.1% of all SFR properties sold in Custer County during Q4 2025.
Mom-and-pop landlords were responsible for 100% of all investor acquisitions, purchasing 22 properties in the quarter. Institutional investors made zero purchases, showing no activity in the market.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control a staggering 99.3% of investor-owned homes.
Pricing data by tier is not available for Custer County. Institutional investors have zero properties in their portfolios, indicating no market presence or growth in this segment.
Ownership by Tier & Type
Pricing data comparing individual and company buyers is not available for Custer County.
Companies never become the majority owner in any tier; individuals dominate across the board, holding 88.8% of single-property portfolios. There are no institutional investors, so companies in that tier own zero properties.
Geographic Distribution
Investor activity is highly concentrated in the 81252 zip code, which contains 2,101 investor-owned homes.
The 81069 zip code has the highest ownership rate at 61.8%, though it is a much smaller market with only 34 investor properties. All top five zip codes by count have investor ownership rates exceeding 40.0%, indicating widespread investor penetration.
Historical Transactions
Landlords are aggressive net buyers, acquiring 33 properties while selling only 1 in Q1 2026.
No buy/sell price data is available to compare potential profit margins. Purchase volume has moderated over the past two years, decreasing from 137 buys in 2024 to 87 in 2025, signaling a potential slowdown in the pace of acquisitions.
Current Quarter Transactions
Landlords were involved in 62.3% of all SFR transactions in Q1 2026, making 33 purchases.
Mom-and-pop landlords accounted for 100% of investor transactions, while institutional investors had none. No investors sourced properties from other landlords in Q1, indicating they are all 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
Landlords own 2,217 properties in Custer County, with individuals holding a dominant 88.9% share.
Detailed Findings

Investors hold a significant footprint in Custer County, owning 2,217 single-family residential properties, which constitutes a majority 57.5% of the total market inventory of 3,858 homes.

The ownership structure is overwhelmingly dominated by individual real estate investors, who control 1,970 properties, or 88.9% of the total investor portfolio. Company-owned properties account for the remaining 273 homes, representing a much smaller 12.3% share.

When examining the landlord entities themselves, the pattern of individual dominance is even more pronounced. There are 2,983 individual landlords compared to just 274 company landlords, reinforcing the 'mom-and-pop' character of the local market.

Financial strategies among these investors heavily favor cash acquisitions. A total of 1,663 properties are owned free and clear, more than triple the 554 properties that are financed. This indicates a well-capitalized investor base that is less reliant on leverage.

The portfolio's purpose is clear, with 2,211 of the 2,217 properties classified as rented. This near-total focus on non-owner-occupied units underscores that these holdings are primarily for generating rental income rather than for personal use or speculative flipping.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords paid 3.8% less than homeowners in Q1 2026, a discount of $17,644 per property.
Detailed Findings

In the first quarter of 2026, landlords in Custer County purchased properties at an average price of $446,621, which is 3.8% below the $464,265 average paid by traditional homeowners. This resulted in a notable cost savings of $17,644 per property for investors.

However, this pricing advantage has not been consistent. The market has shown extreme volatility in the price gap between investor types, which is characteristic of a market with low transaction counts. For example, landlords paid a significant 31.1% premium ($143,753 more) in Q3 2025, but secured a massive 37.2% discount ($255,475 less) just one quarter prior in Q2 2025.

Despite quarterly fluctuations, the long-term price trend shows steady appreciation. The average landlord acquisition price has risen from $425,778 during the 2020-2023 period to $466,338 in 2024 and $488,844 in 2025.

This upward trend reflects broader market dynamics and indicates that even with periodic discounts, the underlying value of assets in the area has been increasing consistently over the past several years.

There is no available data to differentiate acquisition prices between individual and company landlords, so it is unclear if one owner type is securing better deals than the other in this specific market.

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 a dominant 61.1% of all SFR properties sold in Custer County during Q4 2025.
Detailed Findings

Investor purchasing activity was exceptionally strong in the fourth quarter of 2025, with landlords acquiring 22 of the 36 total SFRs sold in Custer County. This represents a commanding 61.1% market share of all purchases.

The entirety of this purchasing activity came from small-scale, 'mom-and-pop' landlords operating in Tiers 01-04. They accounted for 100% of the 22 investor acquisitions, highlighting the complete absence of larger-scale buyers.

Activity was highly concentrated at the entry level of the market. All 22 properties were purchased by landlords in the single-property tier, indicating a significant influx of new investors into the Custer County rental market.

A total of 32 distinct entities were responsible for these 22 single-property purchases, suggesting some properties may have been acquired through co-ownership arrangements.

In stark contrast, institutional investors (Tier 09) had zero presence in the acquisitions market, purchasing no properties during the quarter. This reinforces the local, small-investor character of Custer County's real estate landscape.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) control a staggering 99.3% of investor-owned homes.
Detailed Findings

The investor landscape in Custer County is unequivocally dominated by mom-and-pop landlords. Owners with portfolios of 1-10 properties (Tiers 01-04) collectively hold 99.3% of all investor-owned single-family homes in the area.

The market's foundation is built upon single-property landlords (Tier 01), who alone own 2,033 properties. This single tier accounts for an immense 89.3% of the entire investor-owned housing stock, making first-time and small-scale landlords the backbone of the rental market.

As portfolio sizes increase, ownership drops off precipitously. Landlords with two properties own 5.9% of the stock, while those with 3-5 properties own just 3.2%. The contribution from all larger tiers is negligible.

Mid-size investors are barely represented. The small-medium tiers (11-50 properties) collectively own just 15 properties, making up a mere 0.7% of the total investor portfolio.

There is absolutely no institutional investor (1000+ properties) footprint in Custer County. They hold 0.0% of the market, confirming that this is a localized market entirely driven by small, independent owners.

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
Pricing data comparing individual and company buyers is not available for Custer County.
Detailed Findings

Individual investors are the primary owners across every single portfolio tier in Custer County, with no crossover point where companies become the dominant owner type. This pattern holds true from the smallest to the largest active tiers in the market.

In the foundational single-property tier, individuals own 1,826 homes (88.8%) compared to just 230 homes (11.2%) owned by companies. This 8-to-1 ratio underscores the individual-driven nature of market entry.

Even as portfolios grow, individuals maintain their majority. In the 3-5 property tier, where company ownership is most concentrated, individuals still own 74.0% of the properties (54 homes), while companies hold only 26.0% (19 homes).

The largest active portfolios (11-20 properties) show an even stronger individual preference, with individuals owning 12 of the 13 properties (92.3%) in that tier.

Given the complete absence of institutional-scale portfolios in the county, the question of company versus individual ownership at that level is moot. The entire investor ecosystem is built on the activity of individual owners and small, closely-held companies.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is highly concentrated in the 81252 zip code, which contains 2,101 investor-owned homes.
Detailed Findings

The vast majority of investor activity in Custer County is centered in a single geographic area: the 81252 zip code. This area alone accounts for 2,101 investor-owned SFR properties, representing 94.8% of all such properties in the county.

While 81252 leads in volume, the highest rate of investor ownership is found in the 81069 zip code, where investors own 61.8% of the housing stock. This highlights a smaller but intensely targeted market.

Investor penetration is remarkably high across the county's primary zip codes. The top four areas all exhibit investor ownership rates above 52%, including 81252 (57.6%), 81253 (52.2%), 81069 (61.8%), and 81226 (53.3%).

This demonstrates a market where investors are not just a minor segment but are in fact the majority owners in multiple locations. Such high concentration levels suggest a market heavily defined by rental activity and investment strategies.

The data reveals a clear hub-and-spoke pattern, with the 81252 zip code acting as the central hub for investor volume, surrounded by smaller zip codes that also have extremely high rates of investor ownership.

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 aggressive net buyers, acquiring 33 properties while selling only 1 in Q1 2026.
Detailed Findings

Investors in Custer County are operating in a strong accumulation phase, consistently buying far more properties than they sell. In the first quarter of 2026, they demonstrated this with a 33-to-1 buy-to-sell ratio, adding a net of 32 properties to their portfolios.

This net buyer status is a long-standing trend. In 2025, landlords purchased 87 homes while selling only 7, and in 2024 they bought 137 while selling just 9. This shows a clear, multi-year strategy of portfolio growth and a buy-and-hold approach.

While the net-buying trend is firm, the overall velocity of acquisitions has cooled. The 137 properties purchased in 2024 dropped to 87 in 2025, a decrease of 36.5%. This suggests that while investors are still buying, the pace has become more measured.

There is no transaction data available for institutional investors, which aligns with their 0% ownership stake in the county. All recorded transaction activity originates from the mom-and-pop and mid-size landlord segments.

The data does not provide details on buy-versus-sell prices, so it is not possible to calculate implied profit margins on the few properties that were sold.

Current Quarter Transactions

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

Key Insight
Landlords were involved in 62.3% of all SFR transactions in Q1 2026, making 33 purchases.
Detailed Findings

Investors were the driving force in the Custer County real estate market in Q1 2026, participating in 62.3% of all transactions. They purchased 33 of the 53 single-family homes that were sold during the quarter.

This activity was exclusively driven by mom-and-pop investors. The vast majority of transactions, 32 out of 33, were made by landlords in the single-property tier, reinforcing the trend of new entrants dominating purchasing activity.

An interesting pricing dynamic emerged between tiers. The single-property landlords paid an average of $446,621, while the one active landlord from the 6-10 property tier acquired a home for just $225,000, suggesting smaller, more established landlords may be targeting lower-priced assets.

The market shows no signs of inter-landlord trading. In Q1, 0% of investor purchases were sourced from other landlords. This means investors are acquiring their entire inventory from traditional homeowners or new construction, not from a secondary investor market.

Institutional investors logged zero transactions, consistent with their lack of presence in the county. The transactional landscape, like the ownership landscape, is entirely shaped by small-scale investors.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Custer County is a mom-and-pop landlord stronghold with 99.3% ownership and zero institutional presence.
Holdings
In Custer County, landlords own 2,217 SFR properties, a remarkable 57.5% of the total market. Individual investors hold 1,970 of these homes (88.9%), with companies owning the remaining 273 (12.3%).
Pricing
Landlords paid 3.8% less than traditional homeowners in Q1 2026, securing an average discount of $17,644 per property ($446,621 vs $464,265).
Activity
Investor activity is intense, with landlords acquiring 61.1% of all homes sold in the final quarter of 2025. This activity was driven entirely by small investors, including 32 new single-property landlords entering the market.
Market Share
Small 'mom-and-pop' landlords (1-10 properties) overwhelmingly control the market, owning 99.3% of all investor housing, while institutional investors (1000+) have no presence at all (0.0%).
Ownership Type
Individual investors dominate every portfolio tier, holding 88.9% of all properties, and there is no crossover point where companies become majority owners.
Transactions
Landlords are aggressively accumulating property with a 33-to-1 buy/sell ratio in Q1 2026 (33 buys vs 1 sell), while institutional investors remain completely inactive.
Market Narrative

The real estate market in Custer County, Colorado is fundamentally shaped by small, independent investors who now own a majority 57.5% of the county's single-family housing stock, totaling 2,217 properties. This market defies the national narrative of corporate dominance. Individual investors own 88.9% of these homes, and 'mom-and-pop' landlords with 1-10 properties control a staggering 99.3% of the entire investor portfolio. Institutional investors with over 1,000 properties have zero presence, making this a quintessential Main Street, not Wall Street, market.

Investor behavior in Custer County is characterized by aggressive acquisition and a buy-and-hold strategy. In Q1 2026, landlords were involved in 62.3% of all transactions and demonstrated their market position by paying 3.8% less than traditional homeowners. This purchasing is part of a multi-year accumulation trend, with investors acting as strong net buyers, exemplified by a 33-to-1 buy-to-sell ratio in the most recent quarter. The activity is fueled by new entrants, as landlords buying their first investment property drove nearly all purchases.

The key takeaway from this Investor Pulse report is that Custer County represents a highly concentrated, small-investor ecosystem. With ownership rates exceeding 50% in its primary zip codes, the local housing market is heavily influenced by the needs and strategies of rental property owners. The lack of institutional capital and the dominance of individual, cash-heavy buyers create a unique market dynamic focused on long-term rental income rather than large-scale speculation, signaling stability but also high barriers to entry for traditional homebuyers.

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 01:26 AM
Data Period Q1 2026
Geography Level County
Geography Custer (CO)
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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
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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 Custer (CO) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-co-custer/. Licensed under CC BY-NC-ND 4.0.