Montgomery (IA) Investor Pulse Report (2026-Q1)

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

Market Overview

Total SFR Properties in Montgomery (IA)
3,565
Total Investors in Montgomery (IA)
525
Investor Owned SFR in Montgomery (IA)
550(15.4%)
Individual Landlords
Landlords
443
SFR Owned
436
Corporate Landlords
Landlords
82
SFR Owned
122
Understanding Property Counts

Distinct Count Methodology: The total 550 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 Investors Dominate Montgomery County, Owning 83.2% of Rental Homes and Buying at a 69.9% Discount
Investors own 550 SFR properties in Montgomery County, representing 15.4% of the market. This ownership is overwhelmingly controlled by mom-and-pop landlords (83.2%), not institutions (0.2%). In Q1 2026, landlords were aggressive net buyers, acquiring properties at an average price of $53,660, a steep 69.9% discount compared to traditional homeowners.
Landlord Owned Current Holdings
Investors own 550 SFR properties, with individual landlords holding a 79.3% majority.
The vast majority of investor-owned properties are held in cash (456) compared to just 94 that are financed. Of the 525 total landlords, 443 are individuals while 82 are companies, a ratio of more than 5 to 1.
Landlord vs Traditional Homeowners
Landlords paid 69.9% less than homeowners in Q1, a staggering $124,686 average discount.
The price gap between landlords and homeowners has remained significant, with landlord discounts reaching as high as 76.6% in Q1 2025. This deep discount pattern suggests landlords are targeting different types of properties or sourcing deals off-market.
Current Quarter Purchases
Landlords purchased 21.9% of all homes sold in the fourth quarter, totaling 7 properties.
Mom-and-pop landlords (1-10 properties) drove the market, accounting for 57.1% of all landlord purchases. In contrast, institutional investors with over 1,000 properties made zero acquisitions.
Ownership by Tier
Mom-and-pop landlords control a commanding 83.2% of all investor-owned housing.
Single-property landlords are the largest single group, owning 321 properties, which is 57.3% of the entire investor portfolio. Institutional investors are a marginal presence, holding just one property, or 0.2% of the market.
Ownership by Tier & Type
Companies become the majority owners over individuals at the 6-10 property portfolio tier.
While individuals dominate smaller portfolios, companies own 53.3% of properties in the 6-10 unit tier. Interestingly, individual ownership surges back to 95.2% in the 21-50 property tier.
Geographic Distribution
Investor activity is highly concentrated, with the 50864 zip code holding 71 investor-owned homes.
While 50864 has the highest count of investor properties, the 50847 zip code has the highest penetration rate, with 26.8% of all homes owned by investors. This is more than double the rate in 50864 (12.8%).
Historical Transactions
Landlords in Montgomery County are strong net buyers, acquiring 10 properties while selling only 4 in Q1 2026.
This trend of accumulation is consistent, with landlords acting as net buyers throughout 2025 (29 buys vs 16 sells) and 2024 (56 buys vs 19 sells). The area's single institutional investor was neutral in 2025, with one purchase and one sale.
Current Quarter Transactions
Landlords were involved in 24.4% of all property transactions in Q1, making 10 purchases.
A significant price disparity exists between investor tiers, with new single-property landlords paying an average of $143,000, while more established small landlords (3-5 properties) paid just $29,000. In that active small-landlord tier, 33.3% of their purchases were from other landlords.

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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 550 SFR properties, with individual landlords holding a 79.3% majority.
Detailed Findings

In Montgomery County, investors hold 550 single-family residential properties, making up 15.4% of the total 3,565 SFRs. This signifies a notable, but not dominant, investor presence in the local housing market.

Ownership is heavily skewed towards individuals over corporate entities. Individual investors own 436 properties, or 79.3% of the investor-owned portfolio, while companies own the remaining 122 properties (22.2%).

The landlord landscape mirrors this property distribution, with 443 individual landlords compared to just 82 company landlords. This highlights a market driven by small-scale, local operators rather than large corporations.

A striking financial characteristic of this market is the preference for cash purchases. A total of 456 investor-owned properties were acquired with cash, dwarfing the 94 properties that are financed, signaling a well-capitalized investor base.

The portfolio is clearly focused on generating rental income, with 529 of the 550 properties identified as rented, underscoring the business-oriented nature of these holdings.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords paid 69.9% less than homeowners in Q1, a staggering $124,686 average discount.
Detailed Findings

A dramatic pricing disparity defines the Montgomery County market. In Q1 2026, landlords acquired properties for an average of $53,660, while traditional homeowners paid $178,346. This represents a massive 69.9% discount, saving investors an average of $124,686 per home.

This significant price advantage for landlords is not a new phenomenon. The trend of deep discounts was consistent throughout the prior year, including a 31.3% discount in Q3 2025 ($46,101), a 56.3% discount in Q2 2025 ($75,876), and a 76.6% discount in Q1 2025 ($114,588).

The persistence of such a large gap suggests that investors are not competing for the same properties as traditional homebuyers. They are likely targeting distressed assets, properties needing significant renovation, or sourcing off-market deals that are not available to the general public.

While investor purchase prices have fluctuated, they have consistently remained far below the prices paid by homeowners, indicating a distinct and strategic approach to acquisition in the local 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 purchased 21.9% of all homes sold in the fourth quarter, totaling 7 properties.
Detailed Findings

During Q4 2025, investors accounted for 21.9% of all SFR market activity, purchasing 7 of the 32 homes sold in Montgomery County. This level of activity indicates a steady and significant investor demand for local housing inventory.

The purchasing activity was dominated by small-scale investors. Mom-and-pop landlords, who own between 1 and 10 properties, acquired 4 of the 7 properties, representing 57.1% of the total investor buy-side volume.

The most active group was the small landlord tier (3-5 properties), which purchased 3 homes. This was followed by one new landlord entering the market with a single property purchase.

Notably, there was zero purchasing activity from institutional investors (1,000+ properties), reinforcing the narrative that Montgomery County's real estate investing landscape is driven by local, smaller-scale players.

Larger landlords in the 101-1,000 property tier also showed some activity, acquiring 2 properties and making up 28.6% of investor purchases for the quarter.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords control a commanding 83.2% of all investor-owned housing.
Detailed Findings

The ownership structure in Montgomery County is unequivocally dominated by small investors. Mom-and-pop landlords (owning 1-10 properties) control a combined 83.2% of all investor-held SFRs.

First-time or single-property landlords form the bedrock of this market. This tier alone accounts for 321 properties, representing a 57.3% majority share of the entire investor-owned housing stock.

As portfolio size increases, the number of properties and entities drops off significantly. Mid-size landlords (11-100 properties) own 15.5% of the portfolio, while large landlords (101-1,000 properties) hold a mere 1.1%.

In stark contrast to national headlines, institutional investors (1,000+ properties) have a negligible footprint in this market. They own just a single property, which constitutes only 0.2% of investor-owned homes.

This distribution underscores a highly fragmented market where the vast majority of rental housing is provided by local community members and small-scale entrepreneurs rather than large corporations.

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 owners over individuals at the 6-10 property portfolio tier.
Detailed Findings

Individual investors form the foundation of the rental market in Montgomery County, owning 84.7% of all single-property rentals and 81.6% of two-property portfolios. This demonstrates that the entry point for real estate investing is primarily an individual pursuit.

A key transition occurs in the 6-10 property tier, which is the first point where companies become the majority owners. In this segment, companies hold 16 properties (53.3%) compared to the 14 properties (46.7%) held by individuals, suggesting this is a common threshold for incorporating a real estate business.

In a surprising reversal, individual ownership becomes overwhelmingly dominant again in the 21-50 property tier. Individuals own 60 properties (95.2%) in this bracket, compared to just 3 properties for companies, a pattern that defies typical scaling trends.

This data indicates two distinct paths for growth: a corporate-focused strategy for landlords managing 6-10 properties, and a path of continued individual ownership for those scaling into larger mid-size portfolios.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is highly concentrated, with the 50864 zip code holding 71 investor-owned homes.
Detailed Findings

Investor ownership in Montgomery County is not evenly distributed, but instead concentrated in specific zip codes. The 50864 zip code is the primary hub for investor activity, containing 71 investor-owned properties.

However, the highest concentration or market penetration is found elsewhere. In the 50847 zip code, investors own 26.8% of the housing stock, indicating a much deeper saturation of rental properties in that community.

This contrast between the highest count (50864, with 71 properties at a 12.8% rate) and the highest rate (50847, with 11 properties at a 26.8% rate) reveals different investment strategies. One area attracts a high volume of investors, while the other has a higher proportion of its homes as rentals.

Other areas with notable investor presence include 51532, with 19 properties and a 10.8% ownership rate, and 51566, with a 16.8% rate. This demonstrates a hyper-local focus among investors in the county.

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
Chart Section11 Institutional
Chart Section11 Institutional Price
Key Insight
Landlords in Montgomery County are strong net buyers, acquiring 10 properties while selling only 4 in Q1 2026.
Detailed Findings

Investors in Montgomery County are actively expanding their portfolios. In the first quarter of 2026, landlords demonstrated a strong net-buyer position, purchasing 10 properties while only selling 4, for a net gain of 6 properties.

This aggressive accumulation is not a short-term trend but a consistent, multi-year pattern. In 2025, investors were net buyers by 13 properties (29 buys vs. 16 sells), and in 2024, they were net buyers by an even larger margin of 37 properties (56 buys vs. 19 sells).

This sustained buying pressure indicates strong confidence in the local rental market and a long-term strategy of asset accumulation among the county's investor base.

The lone institutional investor in the market showed neutral activity in 2025, buying one property and selling one. This lack of accumulation at the institutional level further highlights that market growth is being driven by smaller, local landlords.

Current Quarter Transactions

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

Key Insight
Landlords were involved in 24.4% of all property transactions in Q1, making 10 purchases.
Detailed Findings

In Q1 2026, landlords played a significant role in the market's liquidity, participating in 10 of the 41 total SFR transactions, a market share of 24.4%. This highlights investors as a key source of demand for available properties.

The most active buyers were small landlords in the 3-5 property tier, who were responsible for 6 of the 10 investor transactions. This group appears to have a distinct acquisition strategy, paying a remarkably low average price of just $29,000 per property.

In contrast, the single new landlord entering the market (Tier 01) paid the highest price of any tier at $143,000. This $114,000 price gap suggests experienced small landlords are adept at finding undervalued or distressed properties that new entrants may overlook.

Inter-landlord trading is also a feature of the market. Among the most active small-landlord tier, a third (33.3%) of their acquisitions were properties purchased from other landlords, indicating a healthy flow of assets within the investor community.

There were no transactions recorded for institutional investors, reaffirming their passive role in the county's active real estate market.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Mom-and-pop landlords control 83.2% of Montgomery County's investor market, consistently buying at deep discounts
Holdings
Investors own 550 single-family properties in Montgomery County, IA, representing 15.4% of the market. Individual investors are the dominant force, holding 436 of these properties (79.3%) compared to 122 (22.2%) owned by companies.
Pricing
Landlords secured properties at a massive 69.9% discount in Q1 2026, paying an average of $53,660 compared to the $178,346 paid by traditional homeowners, a price gap of $124,686.
Activity
Investors purchased 21.9% of all properties sold in the previous quarter, with mom-and-pop landlords accounting for 57.1% of those acquisitions. During Q1 2026, a new landlord entered the market by purchasing their first property.
Market Share
The investor market is defined by small operators, as mom-and-pop landlords (1-10 properties) control 83.2% of all investor-owned housing. In contrast, institutional investors (1,000+ properties) hold just a single property, or 0.2% of the total.
Ownership Type
While individual investors dominate smaller portfolios, companies first achieve majority ownership (53.3%) in the 6-10 property tier. This suggests a common point for investors to formalize their operations into a business entity.
Transactions
Landlords are strong net buyers with a 2.5x buy-to-sell ratio in Q1 2026 (10 buys vs. 4 sells), a pattern of accumulation that has been consistent for over two years. The county's single institutional investor was neutral, with no net change in holdings.
Market Narrative

In Montgomery County, Iowa, the real estate investment landscape is fundamentally shaped by local, small-scale operators. Investors own 550 single-family properties, accounting for 15.4% of the county's total SFR housing stock. This market is overwhelmingly controlled by individuals, who own 79.3% of these rental homes, compared to just 22.2% held by companies. The ownership structure is highly fragmented, with mom-and-pop landlords (1-10 properties) controlling a commanding 83.2% of the portfolio, while institutional investors have a near-zero presence at just 0.2%.

The primary behavior of these investors is aggressive, value-oriented acquisition. In the most recent quarter, landlords were involved in 24.4% of all transactions and demonstrated a strong net-buyer position, purchasing 2.5 properties for every one they sold. Their buying strategy hinges on securing deep discounts; in Q1, they paid an average of $53,660 per property, a staggering 69.9% less than traditional homeowners. This pattern suggests a focus on distressed or off-market properties, a strategy that is particularly effective for experienced small landlords, who paid an average of just $29,000 in Q1.

The key takeaway from this market report is that Montgomery County is a quintessential mom-and-pop market. The narrative is not about corporate landlords but about community members and small entrepreneurs steadily accumulating properties, funding them primarily with cash, and leveraging local knowledge to acquire assets at a significant discount. This sustained, ground-level activity signals strong confidence in the local rental economy and provides a clear picture of a market driven by individual capital and strategic, value-based purchasing.

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 11:31 AM
Data Period Q1 2026
Geography Level County
Geography Montgomery (IA)
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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
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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
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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
Chart Section11 Yoy All Landlords
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Chart Section11 Institutional
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Chart Section11 Institutional Price
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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 Montgomery (IA) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-ia-montgomery/. Licensed under CC BY-NC-ND 4.0.