Pima (AZ) Investor Pulse Report (2026-Q1)

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

Market Overview

Total SFR Properties in Pima (AZ)
280,818
Total Investors in Pima (AZ)
69,265
Investor Owned SFR in Pima (AZ)
55,230(19.7%)
Individual Landlords
Landlords
61,764
SFR Owned
44,738
Corporate Landlords
Landlords
7,501
SFR Owned
13,085
Understanding Property Counts

Distinct Count Methodology: The total 55,230 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 Landlords Drive Pima County Market, Acquiring Homes as Institutions Divest
In Pima County, investors own 19.7% of single-family homes, with mom-and-pop landlords (1-10 properties) controlling a massive 91.1% of that portfolio. In Q1, landlords were net buyers, acquiring properties at a 5.1% discount compared to homeowners, while institutional investors continued to be net sellers, signaling a strategic retreat.
Landlord Owned Current Holdings
Investors own 55,230 Pima County homes, with individuals holding a dominant 81.0% share.
The portfolio is almost evenly split between financing (28,498 properties) and cash purchases (26,732 properties). A significant 98.0% of these holdings are classified as rented, indicating a strong focus on generating rental income.
Landlord vs Traditional Homeowners
Pima County landlords paid 5.1% less than homeowners in Q1, a discount of $24,188 per property.
The landlord purchasing advantage has widened significantly over the past year, growing from a 1.6% discount ($7,702) in Q2 2025 to 5.1% in Q1 2026. This reverses a trend from early 2025, when landlords briefly paid a 0.3% premium.
Current Quarter Purchases
Landlords captured 38.2% of all Pima County home sales in Q4 2025, purchasing 1,259 properties.
Mom-and-pop landlords (1-10 properties) drove this activity, accounting for 89.7% of all investor purchases. In contrast, institutional investors (1000+ properties) acquired just 22 homes, making up only 1.7% of the investor market.
Ownership by Tier
Mom-and-pop landlords control a commanding 91.1% of all investor-owned homes in Pima County.
Single-property landlords form the market's backbone, owning 74.9% of all investor rental properties. In Q1, these small investors paid an average of $466,700 per property, while institutions paid 37.4% less at $292,142.
Ownership by Tier & Type
The shift to corporate ownership occurs at the 6-10 property tier, where companies control 52.7% of homes.
While individuals own 87.1% of single-property portfolios, companies assert control as portfolios scale, owning over 89% of portfolios with more than 51 properties and 95% of those in the 21-50 property range.
Geographic Distribution
Investor activity is most concentrated in zip code 85719, which contains 2,525 investor-owned homes.
The highest investor penetration rate is found in zip code 85601, where landlords own 74.6% of all SFRs. This reveals a key difference between markets with high raw volume and those with high saturation.
Historical Transactions
Landlords are strong net buyers with a 5.6x buy-to-sell ratio, while institutional investors are net sellers.
In Q1 2026, the overall landlord market acquired 1,729 homes while selling only 307. In stark contrast, institutional investors (1000+ tier) sold more than they bought (24 sells vs 23 buys), continuing a divestment trend from 2025 and 2024.
Current Quarter Transactions
Landlords participated in 36.2% of all Pima County home transactions in Q1, purchasing 1,729 properties.
A significant price gap exists between investor types: single-property landlords paid an average of $466,700, while institutional investors paid 37.4% less at $292,142. Institutions were also most likely to buy from other landlords, sourcing 26.1% of their deals that way.

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 55,230 Pima County homes, with individuals holding a dominant 81.0% share.
Detailed Findings

In Pima County, investors hold a significant 19.7% of the total 280,818 single-family homes, amounting to a portfolio of 55,230 properties. This market penetration underscores the importance of real estate investing in the local housing ecosystem.

Ownership is overwhelmingly concentrated with individuals, who own 44,738 properties, or 81.0% of the investor-held housing stock. Companies own the remaining 13,085 properties (23.7%), demonstrating the market is primarily driven by smaller-scale operators rather than large corporations.

The investor portfolio is almost perfectly balanced between financing methods. Properties with an active mortgage total 28,498, while 26,732 properties were acquired with cash. This nearly 50/50 split suggests a diverse mix of investment strategies, from leveraged growth to debt-free holdings.

The vast majority of investor-owned properties are actively used as rentals. With 54,127 properties classified as rented, 98.0% of the entire investor portfolio is generating income, confirming that the primary strategy for these owners is buy-and-hold rentals, not speculation.

While individual owners dominate property counts, the number of entities tells a similar story. There are 61,764 individual landlords compared to just 7,501 company landlords, a ratio of more than 8-to-1. This reinforces that the market's foundation is built on a large base of small, independent investors.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Pima County landlords paid 5.1% less than homeowners in Q1, a discount of $24,188 per property.
Detailed Findings

Investors in Pima County demonstrated a distinct pricing advantage in Q1 2026, paying an average of $454,186 per property. This was 5.1% less than the $478,374 paid by traditional homeowners, translating to a substantial average discount of $24,188 per home.

The purchasing gap between landlords and homeowners has been widening, signaling a growing investor advantage. The discount expanded from just 1.6% ($7,702) in Q2 2025 to 3.5% ($16,219) in Q3 2025, before reaching the current 5.1% level. This trend suggests investors are becoming more effective at securing favorable prices.

This widening discount marks a sharp reversal from early 2025. In Q1 2025, investors actually paid a slight 0.3% premium ($1,495) compared to homeowners, indicating a much more competitive market at that time.

Despite recent market fluctuations, property values have shown significant appreciation since the pandemic-era boom. The average Q1 2026 landlord acquisition price of $454,186 is 10.6% higher than the average of $410,746 paid between 2020 and 2023.

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 captured 38.2% of all Pima County home sales in Q4 2025, purchasing 1,259 properties.
Detailed Findings

Investor purchasing activity was robust in Q4 2025, with landlords acquiring 1,259 of the 3,300 SFRs sold in Pima County. This represents a significant 38.2% market share, highlighting strong investor demand.

The bulk of acquisition activity is driven by small-scale investors. Mom-and-pop landlords (1-10 properties) were responsible for 1,154 purchases, or 89.7% of all investor buying. This demonstrates that the market's momentum comes from its largest segment.

New investors flooded the market, with 1,371 entities purchasing their very first investment property. These new entrants acquired 989 homes, accounting for 76.9% of all properties bought by landlords in the quarter, signaling a healthy and growing investor base.

In stark contrast, institutional investors with portfolios over 1,000 properties had a minimal presence. They acquired just 22 properties, representing a mere 1.7% of investor purchase volume. This shows the largest players were not a major factor in Q4's acquisition market.

The data clearly shows a market dominated by entry-level and small investors. The combined purchases of landlords in Tiers 01-04 (1,154 properties) dwarfed those of all mid-size and large investors combined (135 properties).

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords control a commanding 91.1% of all investor-owned homes in Pima County.
Detailed Findings

The investor market in Pima County is overwhelmingly dominated by small landlords. Those owning 1-10 properties (Tiers 01-04) collectively hold 91.1% of all investor-owned SFRs, challenging the narrative that large corporations control the rental market.

First-time and single-property investors are the single largest group, owning 42,769 homes. This represents 74.9% of the entire investor-owned portfolio, underscoring their critical role in providing rental housing.

Institutional investors with 1,000 or more properties hold a comparatively small share, owning just 1,605 homes, or 2.8% of the investor market. Their footprint is minimal compared to the vast number of properties held by small operators.

Transaction data from Q1 reveals a sharp pricing difference between investor tiers. Single-property landlords paid the most, averaging $466,700 per purchase. This is a stark contrast to institutional buyers, who paid an average of $292,142, a 37.4% discount, likely by targeting different types of assets or off-market deals.

The ownership structure is highly concentrated at the bottom. The top three tiers (51-1000+ properties) combined own just 4,043 properties (7.1%), while the bottom four tiers (1-10 properties) own 52,000 properties (91.1%).

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
The shift to corporate ownership occurs at the 6-10 property tier, where companies control 52.7% of homes.
Detailed Findings

In Pima County's investor market, individual ownership is the standard for smaller portfolios, but a clear transition to corporate ownership happens as investors scale up. The critical crossover point occurs in the 6-10 property tier, where companies own a 52.7% majority of the properties.

The dominance of individuals is most pronounced at the entry level. For single-property landlords, individuals own 38,951 homes (87.1%) compared to just 5,746 (12.9%) for companies. This pattern holds for portfolios up to 5 properties.

Once a portfolio exceeds 10 properties, company ownership becomes the overwhelming norm. Companies own 79.7% of properties in the 11-20 tier, a figure that climbs to 95.0% in the 21-50 property tier.

For the largest landlords, corporate structure is nearly universal. In the 51-100 property tier, companies own 89.7% of homes, and in the 101-1,000 property tier, they own 89.5%. This suggests that liability protection and operational efficiency drive the use of corporate entities for larger-scale proptech-enabled operations.

This distinct shift highlights different operational strategies. Individuals dominate the initial phase of real estate investing, while scaling requires the more formal structure that a company provides.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is most concentrated in zip code 85719, which contains 2,525 investor-owned homes.
Detailed Findings

Geographic analysis reveals specific pockets of high investor concentration in Pima County. By sheer volume, zip code 85719 is the top area for investors, with 2,525 landlord-owned properties, though this only represents a 33.0% ownership rate.

The areas with the highest counts of investor properties are clustered. Following 85719 are 85614 (2,279 properties), 85711 (2,235 properties), and 85745 (2,207 properties), all indicating significant investor focus in these communities.

However, the markets with the highest saturation tell a different story. Zip code 85601 has the highest investor ownership rate at 74.6%, meaning nearly three-quarters of all homes there are investor-owned. This is followed by 85619 (68.0%) and 85654 (65.4%).

This distinction between high-volume and high-penetration areas highlights divergent investment strategies. Some investors focus on acquiring properties in larger, more populous zip codes, while others concentrate on dominating smaller markets where they can achieve a much higher market share.

The data shows no overlap between the top five zip codes by property count and the top five by ownership percentage, confirming that investors are pursuing these two distinct geographic strategies in Pima 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
Chart Section11 Yoy Institutional
Key Insight
Landlords are strong net buyers with a 5.6x buy-to-sell ratio, while institutional investors are net sellers.
Detailed Findings

The overall investor market in Pima County remains in a strong accumulation phase. In Q1 2026, landlords were aggressive net buyers, purchasing 1,729 properties while only selling 307. This yields a buy-to-sell ratio of 5.6 to 1, signaling high confidence and a focus on portfolio growth.

This net buying trend has been consistent over time. For the full year of 2025, landlords purchased 6,159 properties and sold 1,257 (a 4.9x ratio). In 2024, they bought 8,857 and sold 1,396 (a 6.3x ratio), showing sustained expansion.

A critical divergence appears at the institutional level. Investors in the 1,000+ property tier were net sellers in Q1 2026, acquiring 23 homes but selling 24. This behavior indicates a strategic shift toward portfolio trimming or repositioning among the largest players.

The institutional net selling position is not a new phenomenon. These large investors were also net sellers for the full years of 2025 (67 buys vs. 74 sells) and 2024 (68 buys vs. 73 sells). This pattern contrasts sharply with the broader market's aggressive acquisition activity.

This split suggests a two-track market: smaller and mid-size investors are actively expanding their holdings and driving market demand, while the largest institutional owners are strategically divesting assets in Pima County.

Current Quarter Transactions

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

Key Insight
Landlords participated in 36.2% of all Pima County home transactions in Q1, purchasing 1,729 properties.
Detailed Findings

In Q1 2026, investors were a major force in the Pima County real estate market, taking part in 36.2% of all 4,780 SFR transactions with 1,729 purchases. This high level of participation underscores their influence on market liquidity and pricing.

Transaction volume was heavily concentrated among mom-and-pop landlords. Tiers 01-04 accounted for 1,581 transactions, or 91.4% of all investor purchases. Single-property buyers alone made 1,387 purchases, demonstrating that new and small investors are the most active market participants.

A clear pricing hierarchy exists among investors. New single-property landlords paid the highest average price at $466,700. In contrast, institutional investors paid the second lowest average price at $292,142. This 37.4% price difference suggests institutions are targeting different asset classes, possibly distressed or pre-foreclosure data, that require significant renovation.

Institutional investors rely more heavily on acquiring properties from other landlords. In Q1, 26.1% of their purchases were from existing investors, the highest rate of any tier. This indicates a strategy focused on acquiring managed portfolios rather than competing for homes on the open market.

Conversely, new and smaller investors source fewer properties from their peers. Only 7.9% of purchases by single-property landlords came from other investors, suggesting they primarily buy from traditional homeowners.

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

Mom-and-Pop Investors Dominate Pima County with 91.1% Ownership as Institutions Retreat as Net Sellers
Holdings
In Pima County, landlords own 55,230 single-family homes, representing 19.7% of the total market. The ownership is heavily skewed towards individuals, who hold 44,738 properties (81.0%), compared to 13,085 (23.7%) held by companies.
Pricing
Landlords secured a significant pricing advantage in Q1 2026, paying an average of $454,186, which is 5.1% less than traditional homeowners ($478,374). This translates to an average discount of $24,188 per property.
Activity
Investors accounted for 38.2% of all SFR purchases in the latest quarter, with mom-and-pop landlords driving 89.7% of that activity. During that time, 1,371 new single-property landlords entered the market.
Market Share
Small-scale landlords (1-10 properties) are the definitive market force, controlling 91.1% of all investor-owned housing. In contrast, institutional investors (1,000+ properties) own just 2.8% of the portfolio.
Ownership Type
Individual investors overwhelmingly own smaller portfolios, but companies become the majority owners once a portfolio scales to the 6-10 property tier. For portfolios larger than 50 properties, companies own nearly 90% of the assets.
Transactions
The overall landlord market is in a strong growth phase, acting as net buyers with a 5.6x buy-to-sell ratio in Q1. However, institutional investors are moving in the opposite direction, continuing a multi-year trend of being net sellers.
Market Narrative

The single-family rental market in Pima County is defined by the dominance of small, independent investors, not large institutions. Landlords own 55,230 homes, or 19.7% of the county's total SFR stock. This portfolio is overwhelmingly controlled by mom-and-pop landlords (1-10 properties), who hold a massive 91.1% share, while institutional investors (1,000+ properties) own a mere 2.8%. Ownership is also primarily in the hands of individuals (81.0%) rather than companies, though corporations become the majority owners for portfolios larger than six properties. This structure highlights a deeply fragmented market built on a wide base of small-scale operators.

Investor behavior reveals a two-tiered market moving in opposite directions. The broader landlord market, driven by small investors, is in a clear accumulation phase, acting as strong net buyers with a 5.6-to-1 buy/sell ratio in Q1 2026. These investors are highly active, accounting for over a third of all home purchases while securing a 5.1% price discount compared to traditional homeowners. In stark contrast, institutional investors are net sellers, a trend that has persisted for over a year. This divergence suggests that while smaller investors see opportunity and are expanding, the largest players are strategically reducing their Pima County footprint.

The key takeaway from this market report is that the narrative of a corporate takeover of housing does not apply in Pima County. Instead, the market's health and growth are fueled by thousands of new and small-scale landlords entering and expanding their portfolios. The retreat of institutional capital, coupled with the aggressive acquisition by mom-and-pop investors, signals a transfer of assets down to smaller operators who are more embedded in the local community. This dynamic creates a resilient, if fragmented, rental market that continues to be a viable path for local wealth creation.

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 20, 2026 at 11:19 PM
Data Period Q1 2026
Geography Level County
Geography Pima (AZ)
×
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 Section11 Institutional
Chart Section11 Institutional
×
Chart Section11 Institutional Price
Chart Section11 Institutional Price
×
Chart Section11 Yoy Institutional
Chart Section11 Yoy Institutional
×
Chart Section12 Transactions
Chart Section12 Transactions
×
Chart Section12 Prices
Chart Section12 Prices
×
Chart Section12 Prices Detail
Chart Section12 Prices Detail

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.

For commercial licensing: batchdata.io/contact-sales

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

How to cite this report

BatchData. (2026). Q1 2026 Pima (AZ) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-az-pima/. Licensed under CC BY-NC-ND 4.0.