Stewart (GA) Investor Pulse Report (2025-Q4)

Investors have a substantial footprint in Stewart County, GA, owning 531 single-family residential properties, which constitutes a remarkable 40.1% of the total market inventory of 1,325 homes.

The market is overwhelmingly characterized by individual ownership, with these landlords holding 462 properties (87.0%). In contrast, company-owned portfolios account for just 77 properties, or 14.5% of the investor-owned market.

A defining feature of this market is the preference for all-cash transactions. A staggering 498 properties (93.8%) are owned outright without financing, compared to only 33 that carry a mortgage. This suggests investors in this area are well-capitalized and may be less sensitive to interest rate fluctuations.

The entity-to-property ratio highlights the small-scale nature of investment, with 589 distinct landlords owning the 531 properties. Individual landlords are the vast majority of entities at 529, compared to only 60 company entities.

The portfolio is heavily focused on rental income, with 521 properties (98.1%) being non-owner-occupied, confirming that the primary strategy for these holdings is generating rental revenue rather than speculation or secondary home use.

Landlords in Stewart County acquire properties at a fraction of the price paid by traditional homeowners, a pattern that suggests a focus on distressed or off-market assets. In Q3 2025, the average landlord acquisition price was just $11,500, a massive 91.3% discount compared to the homeowner average of $131,473.

This extreme pricing disparity is not an anomaly but a consistent market feature. In Q2 2025, landlords paid 87.0% less ($27,475 vs. $211,000), and in Q1 2025, they paid 76.5% less ($23,667 vs. $100,667).

Recent acquisition prices for investors represent a significant drop from the pandemic era. The average price during 2020-2023 was $155,101, whereas the average for the first three quarters of 2025 was just $24,050, signaling either a market correction or a strategic shift toward lower-cost properties.

The widening discount throughout 2025, from a 76.5% gap in Q1 to a 91.3% gap in Q3, indicates that investors were becoming increasingly effective at sourcing deals far below the typical market rate for homebuyers.

However, this trend of deeply discounted acquisitions came to a complete halt, as purchasing volume for investors dropped to zero in the final quarter of 2025.

In a dramatic shift from previous quarters, landlord acquisition activity completely ceased in Q4 2025. Investors purchased zero of the 3 single-family homes sold in Stewart County during the period.

This halt in activity means that the landlord share of the market, which was active in previous quarters, dropped to 0% in Q4. All purchasing was conducted by non-investor buyers.

The freeze in acquisitions was universal across all investor sizes. Mom-and-pop landlords (1-10 properties), who form the backbone of the local market, made no purchases.

Similarly, there was no activity from mid-size or institutional investors, reflecting a market-wide pause rather than a shift in behavior from a specific segment.

The lack of new purchases also means no new landlords entered the market in Q4, a stark contrast to the consistent acquisition activity seen earlier in the year and in 2024.

The investor landscape in Stewart County is exclusively a small-investor market. Mom-and-pop landlords, defined as those owning 1-10 properties, command 99.6% of all investor-owned homes.

The market is built on the smallest of investors, with single-property landlords (Tier 01) alone owning 439 properties, which represents a commanding 80.6% majority of the entire investor portfolio.

There is absolutely no institutional investor presence in Stewart County. The 1,000+ property tier (Tier 09) holds 0.0% of the market, indicating this area is not a target for large-scale corporate investment.

Ownership concentration dissipates rapidly in larger tiers. Landlords with 2 properties hold 7.3%, those with 3-5 properties hold 8.1%, and those with 6-10 properties hold just 3.7%.

The data reveals a market structure entirely dependent on small, local capital, challenging the narrative of corporate landlord dominance and highlighting the importance of individual investors in this region.

Unlike in many other markets, there is no portfolio size in Stewart County where company ownership surpasses individual ownership. Individuals maintain a majority stake across all tiers, from single-property portfolios to the 6-10 property bracket.

In the single-property tier, individual ownership is at its peak, with individuals owning 394 homes (89.5%) compared to 46 for companies (10.5%).

While company ownership share does increase with portfolio size, it never reaches a majority. Companies own 14.3% of two-property portfolios, 30.4% of 3-5 property portfolios, and peak at 45.0% in the 6-10 property tier.

This pattern indicates that while investors may incorporate as they grow, the fundamental nature of the market remains driven by individual decision-makers rather than corporate entities.

The data reinforces that the entire investor ecosystem in Stewart County, from entry-level landlords to the most established local players, is dominated by individuals.

Investor ownership in Stewart County is not evenly distributed but is heavily concentrated in specific hyper-local areas. The top two zip codes, 31815 and 31825, collectively account for 483 of the 531 investor-owned properties, representing a 91.0% share.

The zip code 31815 is the epicenter of investor activity, with 285 properties owned by landlords. This translates to an investor ownership rate of 43.5% for that area.

Extremely high investor penetration is a key feature of the market. Zip code 31821 leads with an investor ownership rate of 49.4%, meaning nearly half of all single-family homes there are investor-owned.

The second most active area by count is zip code 31825, where 198 properties are in landlord portfolios, making up 36.4% of the local SFR housing stock.

This geographic concentration suggests that investors are targeting very specific neighborhoods, likely driven by unique local factors such as affordability, rental demand, or the availability of distressed properties.

Historically, landlords in Stewart County have been in a strong accumulation phase. In 2025, they were clear net buyers, acquiring 13 properties and selling only 4, for a net gain of 9 properties.

This buying trend was even more pronounced in 2024, when landlords purchased 13 properties and sold only a single one, resulting in a net increase of 12 properties to their portfolios.

The quarterly data for 2025 shows consistent net buying behavior leading up to the final quarter. Landlords were net buyers by 3 properties in Q3 (4 buys vs. 1 sell) and by 3 properties in Q2 (5 buys vs. 2 sells).

This sustained period of net acquisition makes the complete stop in Q4 2025 particularly significant, as it marks a sharp reversal of a multi-year trend.

As there is no institutional presence in the county, all transaction activity reflects the behavior of small to mid-size landlords, who collectively drove this accumulation before the recent pause.

The fourth quarter of 2025 was marked by a complete absence of investor participation in the Stewart County transaction market. Of the 5 total SFR transactions, landlords were involved in zero of them.

This 0% transaction share for landlords is a stark anomaly compared to the consistent buying activity observed in the preceding seven quarters.

As a result of this inactivity, there were no properties purchased by any investor tier, from single-property landlords to larger operators. This reflects a market-wide sentiment shift or a lack of viable inventory for investors.

Consequently, there is no data on Q4 purchase prices by tier, nor is there any record of inter-landlord trading during this period.

The data indicates that the entire SFR market in Q4, though small, was driven exclusively by traditional homebuyers or other non-investor entities, a significant departure from the established market dynamics.