Cannon (TN) Investor Pulse Report (2026-Q1)

In Cannon County, investors hold a significant 21.5% of the single-family residential market, totaling 830 properties out of 3,854 available. This level of market penetration highlights the importance of real estate investing activity in the local housing ecosystem.

The ownership structure is overwhelmingly dominated by individual investors, not corporations. Individuals own 771 properties, making up 92.9% of the investor-owned portfolio, compared to just 73 properties (8.8%) owned by companies. This challenges the narrative of corporate landlords controlling the market.

A striking financial pattern emerges from the data: investors in Cannon County heavily favor cash purchases. There are 676 cash-owned properties versus only 154 that are financed. This indicates a well-capitalized investor base that is less sensitive to interest rate fluctuations.

The portfolio is clearly focused on rental income, with 810 of the 830 investor-held properties classified as rented. This high concentration underscores the role these properties play in providing rental housing stock for the county.

The disparity between entity types is even more pronounced when looking at the landlords themselves. There are 943 individual landlords compared to just 49 company landlords, a ratio of nearly 20 to 1, reinforcing that the market is driven by small-scale, local operators.

Investors in Cannon County demonstrated a remarkable ability to acquire properties at a significant discount in the first quarter of 2026. They paid an average price of $165,867, which is 49.3% less than the $327,145 paid by traditional homeowners, saving an average of $161,278 per home.

This pricing advantage for investors is not only large but also growing. The discount has widened substantially from previous quarters, where it stood at 32.7% in Q3 2025 and 19.5% in Q2 2025. This expanding gap indicates a strengthening negotiating position for investors in the current market.

While recent transaction volume appears low, historical data shows steady price appreciation. The average landlord acquisition price during the 2020-2023 period was $162,916, rising to $240,779 in 2024. The Q1 2026 price of $165,867 suggests a return to more opportunistic pricing levels.

The significant cost savings allow investors to achieve better returns and absorb other costs, giving them a competitive edge over traditional homebuyers who often purchase at retail market prices. This pattern is a key feature of the local investment landscape.

Investor activity accounted for over a third of the market in the last quarter, with landlords purchasing 11 of the 32 total SFR properties sold in Cannon County, a 34.4% market share. This high level of activity shows investors are a major source of demand.

The market's new activity is overwhelmingly driven by small-scale investors. Mom-and-pop landlords (Tiers 01-04) acquired 11 properties, representing 91.7% of all investor purchases, while a single institutional investor purchased just one property (8.3%).

First-time investors are the most active segment. The single-property tier saw 6 new entities enter the market, acquiring 5 properties. This represents the largest group of buyers and demonstrates the accessibility of the Cannon County market for new landlords.

In contrast, institutional activity remains minimal. Only one property was acquired by an investor in the 1,000+ property tier, reinforcing that large-scale capital is not a significant driver of acquisitions in this market.

The data clearly shows a grassroots market structure, where growth comes from new, small landlords rather than the expansion of large portfolios. The two-property and 3-5 property tiers also saw continued activity from 5 entities acquiring a combined 5 properties.

The distribution of property ownership in Cannon County heavily skews toward small investors. Mom-and-pop landlords, defined as those owning 1-10 properties, control a staggering 97.0% of the entire investor-owned SFR portfolio.

This concentration at the small end of the market directly contrasts with narratives of institutional dominance. Investors in the 1,000+ property tier (Tier 09) own just two properties, a minuscule 0.2% of the total, indicating they are not a factor in the local housing market.

The backbone of the investor market is the single-property landlord. This group (Tier 01) owns 629 properties, which translates to 70.9% of all investor-owned housing. This highlights the importance of first-time and small-scale investors to the rental supply.

Mid-size landlords have a very small footprint. Tiers representing 11-100 properties collectively own only 25 properties, or 2.8% of the total. This further emphasizes the market's reliance on the smallest operators.

The data paints a clear picture of a decentralized market made up of hundreds of individual operators, rather than a consolidated one controlled by a few large players. This structure has significant implications for market stability and the nature of landlord-tenant relationships.

Ownership by entity type shows a clear pattern correlated with portfolio size. Individual investors are the dominant force in smaller tiers, owning 95.9% of single-property portfolios and 89.8% of two-property portfolios.

The crossover point where companies become the majority owners does not occur until landlords reach a scale of 21-50 properties. In this tier, companies own 66.7% of the properties, though this tier itself is very small, containing only 3 properties in total.

Even as portfolio sizes grow, individuals maintain a significant presence. In the 6-10 property tier, individuals still own a majority of 62.7% of the assets. This indicates that many investors continue to operate without formal incorporation even as they scale.

Company ownership is most concentrated at the smaller end of the spectrum in the 3-5 and 6-10 property tiers, where they hold 13 and 19 properties respectively. This suggests that for many, incorporation becomes a strategic choice after acquiring a handful of properties.

This analysis, based on detailed assessor data, reveals that the path to professionalization via incorporation happens much later in an investor's journey in Cannon County, with the vast majority operating as individuals.

Geographic analysis reveals a significant concentration of investor ownership within specific areas of Cannon County. The 37190 zip code is the clear epicenter of activity, containing 561 investor-owned SFRs, which is 67.6% of the county's total investor portfolio.

While 37190 leads by volume, other zip codes exhibit higher market penetration rates. The 37095 and 37016 zip codes have the highest concentrations, with investors owning 25.6% and 25.5% of the SFR properties, respectively. This indicates these smaller areas are particularly attractive to investors.

A strong correlation exists between high property counts and high ownership rates. The top two zip codes by count, 37190 and 37026, also have high ownership rates of 21.7% and 21.8%. This suggests that investors are doubling down on historically popular areas.

The data shows a clear geographic strategy among investors, who are targeting a few key zip codes rather than spreading their holdings evenly across the county. This localized focus can have a significant impact on home prices and rental availability in these specific communities.

Following 37190, the next most active areas are 37026 (114 properties), 37016 (52 properties), and 37149 (48 properties), demonstrating a steep drop-off in activity outside the primary investment zone.

Historical transaction data shows that landlords in Cannon County are consistently in an accumulation phase. In the first quarter of 2026, they demonstrated a strong net-buyer position, purchasing 14 SFR properties while selling only 4.

This pattern of net acquisition has been consistent over the past two years. In 2025, investors bought 67 homes and sold 22, resulting in a net gain of 45 properties. The trend was even stronger in 2024, with 76 purchases against just 14 sales, a net gain of 62 properties.

The buy/sell ratio indicates a high level of confidence in the local market. The ratio was approximately 3-to-1 in 2025 and over 5-to-1 in 2024, signaling that investors see long-term value in holding rental properties in the area.

Due to their extremely small footprint, there is insufficient transaction data to analyze the behavior of institutional (1,000+ tier) investors. The market's transaction dynamics are exclusively driven by the activity of smaller mom-and-pop landlords.

This sustained net-buying behavior contributes directly to the growing share of investor ownership in the county, converting more owner-occupied housing stock into rental properties over time.

In the first quarter, landlords participated in 14 of the 48 total SFR transactions in Cannon County, a market share of 29.2%. This level of involvement underscores their critical role in providing market liquidity and driving sales activity.

A surprising pricing pattern emerged among different investor tiers. The single institutional purchase was at an average price of $238,131, which is 29.9% higher than the $183,333 average paid by the most active group, single-property landlords. This suggests smaller investors are securing better deals.

Smaller landlords appear more engaged in the secondary investor market. Investors in the two-property and 3-5 property tiers acquired 33.3% of their new properties from other landlords. This contrasts with the institutional buyer, who sourced 0% of purchases from existing landlords.

Transaction volume was, unsurprisingly, dominated by mom-and-pop investors (Tiers 01-04), who were responsible for 13 of the 14 landlord transactions during the quarter. This mirrors their dominance in overall ownership.

The price spread between tiers was significant, with the lowest average price of $118,000 paid by landlords in the 3-5 property tier and the highest of $238,131 by the institutional tier. This variance points to different acquisition strategies, with smaller landlords possibly targeting properties in need of repair at a lower price point.