Sedgwick (CO) Investor Pulse Report (2025-Q4)

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

Market Overview

Total SFR Properties in Sedgwick (CO)
882
Total Investors in Sedgwick (CO)
398
Investor Owned SFR in Sedgwick (CO)
333(37.8%)
Individual Landlords
Landlords
380
SFR Owned
314
Corporate Landlords
Landlords
18
SFR Owned
21
Understanding Property Counts

Distinct Count Methodology: The total 333 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

Small Landlords Dominate Sedgwick County, Owning 37.8% of Homes and Buying at a 48.5% Discount
The investor market in Sedgwick County is exclusively controlled by mom-and-pop landlords, who own 100% of the 333 investor-held properties. In Q4, these investors were highly active, accounting for 43.8% of purchases and securing homes for 48.5% less than traditional buyers. Landlords are consistently net buyers, signaling continued expansion in a market with zero institutional presence.
Landlord Owned Current Holdings
Investors own 333 properties in Sedgwick County, with individual landlords dominating with 94.3% of holdings.
Nearly all investor-owned properties are utilized as rentals (328 of 333). Cash-backed ownership is prevalent, with cash properties (268) outnumbering financed ones (65) by more than four to one.
Landlord vs Traditional Homeowners
Landlords paid 48.5% less than homeowners in Q4, securing a staggering $86,825 average discount per property.
This price gap represents a dramatic widening from the 17.1% discount observed in Q3. Q4 landlord acquisition prices ($92,083) are also notably lower than the average price paid during the 2020-2023 pandemic era ($121,221), indicating a market correction or a shift in acquisition strategy.
Current Quarter Purchases
Landlords acquired 43.8% of all single-family homes sold in Q4, totaling 7 properties.
All landlord purchases (100.0%) were made by mom-and-pop investors, specifically new single-property landlords. Institutional investors made zero acquisitions, underscoring their complete absence from the market.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) command 100.0% of the investor-owned housing in Sedgwick County.
Single-property landlords alone own 265 properties, which accounts for 77.7% of all investor-owned homes. There is zero institutional ownership, directly countering the narrative of large-scale corporate control.
Ownership by Tier & Type
Individual investors own the vast majority of properties across all active tiers, with no crossover to company control.
In the single-property tier, individuals own 95.1% of homes. This dominance persists even in the largest active tier (3-5 properties), where individuals still hold 93.6% of the properties.
Geographic Distribution
Investor activity is highly concentrated in zip codes 80744, 80749, and 80737.
Certain areas exhibit extreme investor penetration, with ownership rates reaching 64.2% in 80744 and 62.6% in 80749. Zip code 80721 is 100.0% investor-owned, based on its single SFR property.
Historical Transactions
Landlords are strong net buyers, acquiring 4.33 properties for every one they sold in Q4 2025.
This net accumulation trend is consistent over time, with a 4.5x buy/sell ratio for the full year 2025 and a 7.5x ratio in 2024. Institutional investors recorded zero transactions, remaining entirely on the sidelines.
Current Quarter Transactions
Landlords participated in nearly half of all market activity, accounting for 48.1% of Q4 transactions.
New, single-property landlords drove this activity, conducting 12 of the 13 investor transactions. These new investors are primarily buying from the existing housing stock, with only 8.3% of their purchases coming from other landlords.

Want deeper insights tailored to your investment strategy?

TALK TO AN EXPERT

Current Holdings Portfolio

Analysis of landlord property holdings by type, financing method, and owner category

Chart Section5 Holdings
Key Insight
Investors own 333 properties in Sedgwick County, with individual landlords dominating with 94.3% of holdings.
Detailed Findings

Investors hold a significant footprint in Sedgwick County, owning 333 single-family residential properties, which constitutes 37.8% of the total SFR market.

The ownership structure is overwhelmingly dominated by individual investors, who control 314 properties (94.3%), while companies own a mere 21 properties (6.3%). This trend extends to the entity level, where 380 of the 398 landlords (95.5%) are individuals.

The portfolio is almost entirely focused on rentals, with 328 of the 333 investor-owned properties (98.5%) identified as rented. This indicates a market geared towards providing long-term rental housing rather than short-term speculation.

Cash is the preferred method of ownership, with 268 properties owned outright compared to only 65 that are financed. This 4.1-to-1 ratio of cash-to-financed properties suggests a well-capitalized and low-leverage investor base.

The data paints a clear picture of a market defined by private individuals operating as landlords, challenging the narrative of widespread corporate ownership in the region.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords paid 48.5% less than homeowners in Q4, securing a staggering $86,825 average discount per property.
Detailed Findings

Investors in Sedgwick County demonstrated exceptional purchasing power in Q4 2025, acquiring properties for an average price of $92,083. This was 48.5% below the $178,908 average paid by traditional homeowners, resulting in a substantial discount of $86,825.

The price advantage for landlords widened significantly over the previous quarter. The 48.5% discount in Q4 is a sharp increase from the 17.1% discount recorded in Q3, suggesting that investors are either finding better deals or market conditions are becoming more favorable for them.

An even more extreme discount of 80.2% was observed in Q2 2025, when landlords paid an average of $45,000 compared to the homeowner average of $227,333. This volatility may point to a strategy of targeting distressed or undervalued assets.

Contrary to broader market trends of appreciation, recent landlord acquisition prices are lower than historical averages. The Q4 average of $92,083 is 24.0% below the average price of $121,221 paid during the 2020-2023 period.

The consistent ability of landlords to purchase properties far below the typical homeowner price is a defining characteristic of their investment strategy in this market.

Chart Section6 Prices
Chart Section6 Prices Alt
Chart Section6 Trends
Chart Section6 Yoy Comparison

Current Quarter Purchase Summary

Analysis of Q4 2025 purchase activity by investor tier and type

Chart Section7 Purchases
Chart Section7 Tiers
Key Insight
Landlords acquired 43.8% of all single-family homes sold in Q4, totaling 7 properties.
Detailed Findings

Landlords were a driving force in the Sedgwick County housing market in Q4 2025, purchasing 7 of the 16 total SFRs sold, which amounts to a 43.8% market share.

The entirety of this purchasing activity came from the smallest investor segment. All 7 properties were acquired by new, single-property landlords, with 12 new entities entering the market this quarter.

There was a complete lack of activity from larger investors. Mid-size landlords and institutional investors (Tier 09) made zero purchases, highlighting that market growth is exclusively a grassroots phenomenon.

This concentration of activity among new entrants signals a dynamic and accessible market for first-time investors, rather than one consolidated by established players.

The data shows that the demand for rental properties is being met by an influx of new, small-scale landlords expanding the local rental supply.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) command 100.0% of the investor-owned housing in Sedgwick County.
Detailed Findings

The investor landscape in Sedgwick County is exclusively composed of small-scale operators, with mom-and-pop landlords (owning 1-10 properties) controlling 100.0% of the investor-owned SFR market.

Single-property landlords are the bedrock of the rental market, holding 265 properties, which represents a commanding 77.7% share of all investor-owned housing.

The next largest tiers are two-property owners with an 8.5% share (29 properties) and small landlords with 3-5 properties, holding a 13.8% share (47 properties).

There is a complete absence of mid-size (11-1,000 properties) and institutional (1,000+ properties) investors in the county. This market structure is highly decentralized and reliant on local, individual capital.

This distribution underscores a market where rental housing is provided by a large number of small investors rather than a small number of large corporations.

Chart Section8 Distribution
Chart Section8 Prices
Chart Section8 Prices Q4
Chart Section8 Yoy Comparison

Need custom portfolio analysis based on these tier insights?

TALK TO AN EXPERT

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 own the vast majority of properties across all active tiers, with no crossover to company control.
Detailed Findings

Individual ownership is the standard across every active investor tier in Sedgwick County, with no evidence of a shift toward corporate structures as portfolio sizes increase.

In the largest tier by property count, single-property landlords, individuals own 254 of 267 properties (95.1%).

This pattern continues up the scale. Among two-property landlords, individuals own 82.8% of the properties, and in the 3-5 property tier, they own 93.6%.

Companies maintain a minimal presence across the board, with their highest ownership share being just 17.2% in the two-property tier. There is no tier where company ownership becomes the majority.

The data clearly indicates that the typical growth path for an investor in this county is personal, not corporate, reinforcing the market's mom-and-pop character.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is highly concentrated in zip codes 80744, 80749, and 80737.
Detailed Findings

Investor ownership in Sedgwick County is not uniform but is instead heavily concentrated in a few key zip codes. The areas with the highest counts of investor-owned properties are 80737 (140 properties), 80744 (120 properties), and 80749 (72 properties).

Several zip codes display remarkably high rates of investor ownership, indicating they function primarily as rental markets. Zip code 80744 has a 64.2% investor ownership rate, and 80749 follows closely at 62.6%.

The most extreme example is zip code 80721, where the single SFR property in the area is investor-owned, resulting in a 100.0% rate.

In contrast, the area with the highest count of investor properties, 80737, has a more moderate ownership rate of 24.2%, suggesting a different market dynamic compared to the high-penetration zones.

This geographic clustering shows that investor strategy is targeted, focusing on specific sub-markets within the county rather than broad, uniform acquisition.

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 4.33 properties for every one they sold in Q4 2025.
Detailed Findings

Investors in Sedgwick County are actively expanding their portfolios, acting as decisive net buyers. In Q4 2025, they purchased 13 properties while selling only 3, a buy-to-sell ratio of 4.33-to-1.

This pattern of accumulation is a long-term trend, not a quarterly anomaly. For the full year of 2025, the ratio was even higher at 4.5-to-1 (18 buys vs. 4 sells).

The net buying activity was even more pronounced in 2024, when investors acquired 15 properties and sold only 2, yielding a strong 7.5-to-1 buy/sell ratio.

This sustained net buying signals strong confidence in the local rental market and a clear strategy of long-term holding and portfolio growth.

Institutional investors were completely absent from the transaction market, with no recorded buys or sells, reinforcing that all market dynamics are driven by smaller, local players.

Current Quarter Transactions

Q4 2025 transaction analysis by tier, price, and inter-landlord activity

Key Insight
Landlords participated in nearly half of all market activity, accounting for 48.1% of Q4 transactions.
Detailed Findings

Investors were a major presence in the Q4 2025 transaction market, participating in 13 of the 27 total SFR transactions for a 48.1% market share.

The activity was almost exclusively driven by new entrants. Landlords in the single-property tier were responsible for 12 of the 13 investor transactions.

These new investors are expanding the overall pool of rental properties, rather than just trading assets among themselves. Only 1 of their 12 purchases (8.3%) was from another landlord, meaning the vast majority were acquired from homeowners.

The average purchase price for these new landlords in Q4 was $92,083, aligning with the deep discounts observed across the investor market.

Institutional investors recorded zero transactions, once again highlighting that the market's liquidity and activity are entirely fueled by mom-and-pop investors.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

Ready to leverage this data for your real estate investment decisions?

TALK TO AN EXPERT

Executive Summary

Small, individual landlords dominate Sedgwick County, owning 100% of investor properties and buying at a 48.5% discount.
Holdings
In Sedgwick County, landlords own 333 SFR properties, representing a significant 37.8% of the total market. The portfolio is overwhelmingly controlled by individual investors, who own 314 properties (94.3%), compared to just 21 (6.3%) owned by companies.
Pricing
Landlords demonstrated aggressive purchasing power in Q4, paying an average of $92,083, which is 48.5% less than traditional homeowners ($178,908). This represents a steep discount of $86,825 per property.
Activity
Investor activity was robust in Q4, with landlords making up 43.8% of all SFR purchases. All 7 of these acquisitions were by new, single-property landlords, with 12 new entities entering the market.
Market Share
The investor market is exclusively controlled by small landlords (1-10 properties), who hold 100.0% of all investor-owned housing. Institutional investors (1000+ properties) have zero presence in this market.
Ownership Type
Individual investors are the definitive owners across all portfolio sizes, holding over 93% in the largest active tier (3-5 properties). There is no crossover point where companies become the majority owners.
Transactions
Landlords are actively accumulating property and are strong net buyers, with a 4.33-to-1 buy-to-sell ratio in Q4 (13 buys vs 3 sells). Institutional investors were completely inactive, recording zero transactions.
Market Narrative

The single-family rental market in Sedgwick County, Colorado is characterized by the complete dominance of small, individual investors. Landlords own a substantial 333 SFRs, accounting for 37.8% of the county's entire single-family housing stock. This ownership is highly decentralized, with 100.0% of the portfolio held by mom-and-pop landlords (1-10 properties) and zero institutional presence. Individual investors, rather than corporations, are the primary players, owning 94.3% of these rental homes.

Investor behavior in Q4 highlights aggressive acquisition and market expansion. Landlords were responsible for 43.8% of all home purchases, with all activity coming from new single-property investors. These buyers secured properties at a remarkable 48.5% discount compared to traditional homeowners, paying an average of $92,083. This activity is part of a broader accumulation trend, as landlords acted as strong net buyers with a 4.33-to-1 buy/sell ratio, consistently adding to their portfolios.

The data portrays a hyper-local, grassroots rental market where individual investors are the primary providers of rental housing, particularly in zip codes like 80744 and 80749 where they own over 60% of homes. The absence of institutional capital and the reliance on deep price discounts suggest a market driven by local knowledge and value-oriented purchasing. This structure implies that housing trends and rental availability in Sedgwick County are shaped not by large corporations, but by the financial decisions of hundreds of individual, small-scale landlords.

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.

TierPropertiesCategory
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 GeneratedMarch 10, 2026 at 06:29 PM
Data PeriodQ4 2025
Geography LevelCounty
GeographySedgwick (CO)
×
Chart Section2 Coverage
Chart Section2 Coverage
×
Chart Section3 Ownership Donut
Chart Section3 Ownership Donut
×
Chart Section3 Ownership Bar
Chart Section3 Ownership Bar
×
Chart Section4 Distribution
Chart Section4 Distribution
×
Chart Section5 Holdings
Chart Section5 Holdings
×
Chart Section6 Prices
Chart Section6 Prices
×
Chart Section6 Prices Alt
Chart Section6 Prices Alt
×
Chart Section6 Yoy Comparison
Chart Section6 Yoy Comparison
×
Chart Section6 Trends
Chart Section6 Trends
×
Chart Section7 Purchases
Chart Section7 Purchases
×
Chart Section7 Tiers
Chart Section7 Tiers
×
Chart Section8 Distribution
Chart Section8 Distribution
×
Chart Section8 Prices
Chart Section8 Prices
×
Chart Section8 Prices Q4
Chart Section8 Prices Q4
×
Chart Section8 Prices 2020
Chart Section8 Prices 2020
×
Chart Section8 Yoy Comparison
Chart Section8 Yoy Comparison
×
Chart Section9 Ownership
Chart Section9 Ownership
×
Chart Section9 Growth
Chart Section9 Growth
×
Chart Section9 Growth Q4
Chart Section9 Growth Q4
×
Chart Section9 Yoy Comparison
Chart Section9 Yoy Comparison
×
Chart Section10 Top Regions
Chart Section10 Top Regions
×
Chart Section10 Top Pct
Chart Section10 Top Pct
×
Chart Section11 Buysell
Chart Section11 Buysell
×
Chart Section11 Buysell Price
Chart Section11 Buysell Price
×
Chart Section11 Yoy All Landlords
Chart Section11 Yoy All Landlords
×
Chart Section12 Transactions
Chart Section12 Transactions
×
Chart Section12 Prices
Chart Section12 Prices
×
Chart Section12 Prices Detail
Chart Section12 Prices Detail