Tulsa (OK) Investor Pulse Report (2026-Q1)

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

Market Overview

Total SFR Properties in Tulsa (OK)
205,199
Total Investors in Tulsa (OK)
38,607
Investor Owned SFR in Tulsa (OK)
40,908(19.9%)
Individual Landlords
Landlords
31,557
SFR Owned
25,020
Corporate Landlords
Landlords
7,050
SFR Owned
16,582
Understanding Property Counts

Distinct Count Methodology: The total 40,908 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 Tulsa with 82.5% Ownership, Securing 28% Discounts on Properties
Investors own 40,908 SFR properties in Tulsa County, representing 19.9% of the market. This ownership is overwhelmingly controlled by small 'mom-and-pop' landlords (82.5%) compared to a minimal 0.7% held by institutional investors. In Q1, landlords demonstrated significant purchasing power by acquiring properties at an average 28.1% discount compared to traditional homeowners and remained strong net buyers across the market.
Landlord Owned Current Holdings
Investors own 40,908 SFR properties in Tulsa, with individuals holding a 61.2% majority share.
Cash is the dominant financing method, with 27,706 properties owned outright compared to 13,202 that are financed. The portfolio is heavily focused on rentals, with 39,372 properties (96.2%) identified as non-owner-occupied.
Landlord vs Traditional Homeowners
Landlords purchased Q1 properties for $235,708, a 28.1% discount compared to homeowners.
This massive $92,013 average discount in Q1 follows a trend of significant savings, including a 32.9% discount in Q3 2025. The price gap between landlords and homeowners has remained consistently wide over the past year, always exceeding 22%.
Current Quarter Purchases
Landlords purchased 15.4% of all SFR properties sold in the last quarter of 2025.
Mom-and-pop landlords (1-10 properties) dominated this activity, accounting for 76.2% of all investor purchases. In contrast, institutional investors with over 1,000 properties made up just 2.8% of landlord acquisitions.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control a commanding 82.5% of investor-owned SFRs in Tulsa.
Institutional investors with over 1,000 properties own just 0.7% of the investor-held housing stock. The single-property landlord tier alone makes up the majority of ownership, with 24,012 properties representing a 56.7% share.
Ownership by Tier & Type
Companies become the majority property owners starting at the 6-10 property tier.
Individuals dominate smaller portfolios, owning 83.0% of single-property holdings and 61.9% of two-property portfolios. However, companies own 73.0% of properties in the 6-10 unit tier and over 85% in tiers above that.
Geographic Distribution
Investor activity is most concentrated by volume in zip codes 74012, 74115, and 74112.
The highest investor ownership rates are found elsewhere, with zip code 74172 at 100.0% and 74015 at 53.8%. This shows that the areas with the most investor-owned homes are not necessarily the most saturated by percentage.
Historical Transactions
Landlords in Tulsa are strong net buyers, acquiring 1.65 properties for every one they sold in Q1 2026.
Institutional investors were also net buyers in Q1 (9 buys vs 3 sells) but were net sellers in Q3 2025, showing more volatile behavior. Overall landlord acquisition volume peaked in Q2 2025 at 714 purchases and has since moderated.
Current Quarter Transactions
Landlords participated in 13.6% of all SFR transactions in the first quarter of 2026.
A significant pricing disparity exists, with institutional investors paying 23.3% less than new single-property landlords ($196,499 vs $256,057). Smaller investors in the 2-property tier and large institutional investors were most likely to buy from other landlords (33.3% of their purchases).

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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 40,908 SFR properties in Tulsa, with individuals holding a 61.2% majority share.
Detailed Findings

In Tulsa County, investors hold a significant 40,908 Single-Family Residential (SFR) properties, which constitutes 19.9% of the total 205,199 SFRs in the market. This highlights a substantial investor presence in the local housing landscape.

The ownership structure is dominated by 31,557 individual landlords who control 25,020 properties, or 61.2% of the investor-owned portfolio. In contrast, 7,050 company landlords own the remaining 16,582 properties (40.5%), indicating that the market is primarily driven by smaller, private investors rather than large corporations.

A key financial characteristic of this portfolio is the preference for cash acquisitions. Investors own more than twice as many properties in cash (27,706) as they do with financing (13,202). This suggests a well-capitalized investor base that can move quickly on opportunities without relying on traditional mortgage financing.

The vast majority of the investor-owned portfolio is actively used for rental income. Of the 40,908 properties, 39,372 are classified as rented or non-owner-occupied. This 96.2% rental concentration underscores that the primary strategy for real estate investing in Tulsa is generating rental revenue.

The ratio of landlords to properties reveals different operational scales. With 31,557 individual landlords for 25,020 properties, it suggests many individuals are in co-ownership situations or just starting. Conversely, 7,050 companies manage a larger average portfolio of 16,582 properties, indicating more scaled operations under a corporate structure.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords purchased Q1 properties for $235,708, a 28.1% discount compared to homeowners.
Detailed Findings

Investors in Tulsa County demonstrated significant purchasing advantages in the first quarter of 2026, acquiring properties at an average price of $235,708. This represents a substantial 28.1% discount compared to the $327,721 average paid by traditional homeowners, saving investors an average of $92,013 per transaction.

This price gap is not a new phenomenon but a consistent market feature. Over the past year, the investor discount has been consistently high, ranging from a 22.9% discount in Q1 2025 to a peak of 32.9% in Q3 2025. This pattern suggests investors are adept at identifying undervalued assets or leveraging negotiation tactics unavailable to typical buyers.

Property values have shown strong appreciation since the pandemic-era boom. The average acquisition price of $182,205 between 2020-2023 has climbed to $235,708 in Q1 2026. This reflects a 29.4% increase, signaling robust market growth and a healthy return for long-term holders.

While recent quarters show a significant price advantage for landlords, the volume of acquisitions has been zero for all of 2025 and 2024 according to the dataset. This might indicate a data anomaly or a dramatic slowdown in recorded purchases for the specified timeframes before a Q1 2026 resurgence. The primary insight remains the deep, persistent discount investors achieve when they do purchase.

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 15.4% of all SFR properties sold in the last quarter of 2025.
Detailed Findings

In the fourth quarter of 2025, landlords acquired 319 of the 2,071 total SFRs sold in Tulsa County, capturing a 15.4% share of the market's sales activity. This demonstrates a steady and significant demand from investors for local housing inventory.

The driving force behind this activity was overwhelmingly small-scale investors. Mom-and-pop landlords (owning 1-10 properties) were responsible for 247 of these purchases, representing 76.2% of all investor acquisitions. This highlights the foundational role of small investors in the market's liquidity.

New entrants are a major component of market activity, with the single-property tier being the most active. In Q4, 222 new landlord entities acquired 174 properties, making up 53.7% of all properties bought by investors. This continuous influx of new landlords signals strong confidence in the local rental market.

In stark contrast to the activity of smaller players, institutional investors (1,000+ properties) had a minimal impact. They purchased only 9 properties, accounting for a mere 2.8% of the investor total. This data directly counters the narrative that large corporations are the primary buyers of residential real estate in the area.

Mid-size landlords also played a notable role, with those owning 11-50 properties purchasing a combined 55 homes (17.0% of the total). This indicates a healthy and active middle segment of the market focused on scaling their portfolios.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) control a commanding 82.5% of investor-owned SFRs in Tulsa.
Detailed Findings

The investor landscape in Tulsa County is overwhelmingly dominated by small-scale operators. Mom-and-pop landlords, defined as those owning 1-10 properties, collectively hold 82.5% of all investor-owned SFRs. This signifies a highly fragmented market with a broad base of ownership.

Dispelling a common market misconception, institutional investors (1,000+ properties) have a negligible footprint, owning just 309 properties. This accounts for only 0.7% of the investor portfolio, indicating their strategy does not heavily target the Tulsa SFR market.

The bedrock of the investor market is the single-property landlord. This tier alone, comprising 24,012 properties, represents a 56.7% majority share of all investor-owned housing. This highlights the importance of first-time and small-scale investors to the local rental supply.

Mid-size landlords (11-100 properties) represent a smaller but crucial segment, collectively owning 5,846 properties, or 13.7% of the total. These investors represent the bridge between small operators and larger-scale portfolios.

Even the 'large' pre-institutional tier of landlords owning 101-1,000 properties holds a modest share. With 1,253 properties, this group controls just 3.0% of the market, further emphasizing that ownership concentration remains low and power is distributed among smaller investors.

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 property owners starting at the 6-10 property tier.
Detailed Findings

A clear transition in ownership structure occurs as investors scale their portfolios in Tulsa County. While individuals form the backbone of the market's entry-level, companies become the dominant entity type for larger portfolios. This shift is a key feature of the investor lifecycle.

Individual investors overwhelmingly control the smallest tiers. They own 20,256 properties (83.0%) in the single-property tier and 1,872 properties (61.9%) in the two-property tier, showing a clear preference for personal ownership at the outset.

The crossover point where corporate ownership takes over happens decisively at the 6-10 property tier. At this stage, companies own 2,173 properties (73.0%) compared to just 802 for individuals. This suggests that as portfolios grow in complexity and value, investors increasingly turn to corporate structures for liability protection and operational efficiency.

This trend accelerates in larger tiers. For portfolios of 11-20 properties, companies own 85.2%, and for those with 21-50 properties, their share jumps to 92.6%. This indicates that significant portfolio growth is almost exclusively pursued under a corporate umbrella.

Even at the 3-5 property tier, ownership is nearly split, with individuals holding a slight 51.2% majority. This tier acts as a final stage of individual dominance before the strategic shift to company-based ownership for further expansion.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is most concentrated by volume in zip codes 74012, 74115, and 74112.
Detailed Findings

Investor ownership in Tulsa County shows significant geographic concentration, with a handful of zip codes housing the bulk of rental properties. The top area by sheer volume is 74012, with 3,284 investor-owned properties, although this only represents a 15.9% ownership rate for that area.

Following closely in volume are 74115 with 2,797 properties and 74112 with 2,334 properties. These areas have much higher investor saturation rates of 36.0% and 29.3% respectively, indicating they are core hubs for rental activity.

A critical distinction exists between high-volume and high-percentage areas. The zip code with the highest investor ownership rate is 74172, where 100.0% of properties are investor-owned, likely reflecting a build-to-rent community or specialized housing. Similarly, 74015 has a 53.8% investor ownership rate, making it a majority-renter area.

The data reveals that investors are not uniformly spread out but are targeting specific submarkets. For example, zip codes 74115 (36.0%), 74106 (35.1%), 74127 (37.7%), and 74126 (41.3%) all exhibit investor ownership rates over 35%, pointing to them as established rental neighborhoods.

The divergence between the top zip codes by count versus percentage suggests different investment strategies. Some investors may target larger, more liquid markets like 74012 for volume, while others focus on smaller, high-saturation areas like 74015 for market control.

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
Chart Section11 Yoy Institutional
Key Insight
Landlords in Tulsa are strong net buyers, acquiring 1.65 properties for every one they sold in Q1 2026.
Detailed Findings

The investor market in Tulsa County shows a consistent pattern of accumulation, with landlords acting as net buyers across all recent timeframes. In the first quarter of 2026, they purchased 390 properties while selling only 237, resulting in a net gain of 153 properties and a strong 1.65 buy-to-sell ratio.

This net buying trend has been sustained for over a year. In 2025, landlords added a net 1,279 properties to their portfolios (2,433 buys vs. 1,154 sells), and in 2024, they added a net 1,404 properties. This long-term accumulation signals strong confidence in the local market's future performance.

Institutional investors (1,000+ properties) exhibit a more dynamic and less consistent strategy. While they were net buyers in Q1 2026 with a net gain of 6 properties, they were brief net sellers in Q3 2025, divesting 1 more property than they acquired. This suggests a more tactical, opportunistic approach compared to the broader market's steady accumulation.

Transaction velocity for all landlords has seen fluctuations. Buying activity peaked in Q2 2025 with 714 acquisitions and has since trended downward to 390 in Q1 2026. This moderation may reflect changing market conditions, such as higher interest rates or tighter inventory.

Despite the fluctuating behavior of institutions, their overall impact remains additive. For the full year of 2025, they were marginal net buyers with a net gain of just 1 property, though they were much more aggressive in 2024, adding 114 properties on a net basis.

Current Quarter Transactions

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

Key Insight
Landlords participated in 13.6% of all SFR transactions in the first quarter of 2026.
Detailed Findings

In the first quarter of 2026, landlords were a significant force in the market, participating in 390 of the 2,861 total SFR transactions. This activity gives them a 13.6% share of all property trades in Tulsa County.

A clear pricing hierarchy emerges based on investor size. New, single-property landlords paid the highest average price at $256,057. In stark contrast, institutional investors (1,000+ properties) paid the least among active buyers, averaging just $196,499 per property. This 23.3% discount reflects the negotiating power and market access of larger players.

The source of inventory varies by tier, revealing different acquisition strategies. Investors in the two-property and institutional tiers were the most likely to acquire properties from fellow landlords, with 33.3% of their purchases coming from existing rental stock. This suggests a focus on acquiring stabilized, cash-flowing assets.

Conversely, the largest active buyer group, single-property landlords, sourced only 20.8% of their 226 transactions from other investors. This indicates new entrants are more likely to purchase from traditional homeowners or new construction, expanding the overall rental pool rather than just trading existing assets.

Mid-size landlords (11-20 properties) also showed a strong preference for inter-landlord transactions, with 28.0% of their acquisitions sourced from other investors, while investors in the 21-50 tier sourced the least at only 6.7%.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Mom-and-Pop Investors Dominate Tulsa's Market with 82.5% Ownership, Securing Deep Discounts
Holdings
Landlords own 40,908 SFR properties, 19.9% of Tulsa County's market. The portfolio is controlled by individual investors, who own 25,020 properties (61.2%) compared to companies owning 16,582 (40.5%).
Pricing
Landlords paid 28.1% less than traditional homeowners in Q1, a significant discount of $92,013 per property ($235,708 vs $327,721).
Activity
Investors purchased 15.4% of homes sold last quarter (319 properties), with activity led by the smallest landlords. This included 222 new single-property landlord entities entering the market.
Market Share
Small landlords (1-10 properties) control an overwhelming 82.5% of investor housing in Tulsa, while large institutional investors (1000+) own a mere 0.7%.
Ownership Type
Individual investors dominate smaller portfolios, but companies become the majority owners in portfolios holding 6 or more properties, controlling 73.0% of that tier.
Transactions
Landlords are strong net buyers with a 1.65x buy/sell ratio in Q1 (390 buys vs 237 sells), and institutional investors also ended the quarter as net buyers (9 buys vs 3 sells).
Market Narrative

In Tulsa County, the narrative of real estate investment is defined not by Wall Street but by Main Street. Investors hold 40,908 single-family homes, representing 19.9% of the total market, but this portfolio is firmly in the hands of small-scale operators. Individual investors own a 61.2% majority of these properties. An analysis of portfolio size reveals that 'mom-and-pop' landlords (owning 1-10 properties) control a staggering 82.5% of investor-held housing. In stark contrast, institutional firms with over 1,000 properties have a negligible footprint, owning just 0.7% of the total, proving the local market is one of fragmented, grassroots ownership.

Investor behavior in Tulsa is characterized by sophisticated purchasing and consistent portfolio growth. In the most recent quarter, landlords acquired 15.4% of all homes sold, demonstrating their crucial role in market liquidity. They executed these purchases with a significant financial advantage, paying an average of 28.1% less than traditional homeowners, a discount worth over $92,000 per property. This activity is part of a broader trend of accumulation; landlords across the board are net buyers with a 1.65-to-1 buy/sell ratio, steadily increasing the supply of rental housing in the county.

The key takeaway from the data is that Tulsa’s SFR investment market is robust, healthy, and dominated by local, small-scale entrepreneurs. The market dynamics defy the popular image of corporate consolidation. Instead, it is a landscape where new landlords continuously enter the market, grow their holdings, and transition to more formal corporate structures as they scale past five properties. This decentralized ownership model suggests a resilient rental market with deep community roots, driven by the collective actions of thousands of individual investors rather than a few large institutions. These findings are critical for understanding the true nature of housing ownership in Tulsa County, as detailed in our comprehensive market reports.

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 22, 2026 at 01:24 AM
Data Period Q1 2026
Geography Level County
Geography Tulsa (OK)
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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 Section11 Institutional
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Chart Section11 Institutional Price
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Chart Section11 Yoy Institutional
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Chart Section12 Transactions
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Chart Section12 Prices
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Chart Section12 Prices Detail
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Licensing & Usage Rights

This report, data, and all visual analyses are the property of BatchData © 2026 BatchService, Inc. and are licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0).

You MAY: Download, share, or excerpt this content for personal or non-commercial purposes, provided you give clear attribution to BatchData with a link back to this original page.

You MAY NOT: Use this data commercially, resell or redistribute it as your own, or publish modified versions.

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Creative Commons BY-NC-ND 4.0 - creativecommons.org/licenses/by-nc-nd/4.0/

How to cite this report

BatchData. (2026). Q1 2026 Tulsa (OK) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-ok-tulsa/. Licensed under CC BY-NC-ND 4.0.