REI Lense

REI Lense

Abilene, TX Long-Term Rental Analysis

Analyze rental property cap rates, cash-on-cash returns, and cashflow for long-term rental investments in Abilene, TX. Based on 20+ datapoints.

Abilene, TX Long-Term Rental Investment Snapshot

Based on 20+ long-term rental datapoints

Median Cap Rate

6.8%

Avg Cash on Cash

2.6%

Median Cashflow

$100/mo

Avg Rent Estimate

$2,730/mo

Avg Price

$279,805

Price Range

$79,900 - $590,000

Rent to Price

0.98%

okay ratio

Positive Cashflow

59%

of analyzed properties

Recent real estate investor listings analysed as long-term rental deals in Abilene, TX

Abilene, TX is an emerging long-term rental market gaining investor attention. With 20+ properties analyzed, early data shows the market is developing. The median cap rate of 6.8% suggests room for early-mover advantage as more rental inventory becomes available.

Based on 20+ analyzed properties, the median monthly cashflow in Abilene, TX is $100 with average rents of $2,730/month. Properties range from $79,900 to $590,000, offering entry points across multiple investment budgets.

4049 Inverrary Dr, Abilene, TX 79606

Price

$398,000

Rent

$2,846

CachFlow

-$612

CoC

-8.79

Full Analysis

5280 Peppergrass Ln, Abilene, TX 79606

Price

$590,000

Rent

$4,357

CachFlow

-$645

CoC

-6.25

Full Analysis

5151 N Fm 600, Abilene, TX 79601

Price

$205,000

Rent

$1,814

CachFlow

-$66

CoC

-1.84

Full Analysis

1026 Reeves St, Abilene, TX 79602

Price

$325,000

Rent

$3,740

CachFlow

$540

CoC

9.49

Full Analysis

2309 Moore St, Abilene, TX 79605

Price

$210,000

Rent

$2,685

CachFlow

$468

CoC

12.73

Full Analysis
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Abilene, TX Rental Market Insights

  • Positive median cashflow of $100/month indicates most investors cover expenses
  • 6.8% median cap rate reflects a balanced risk-return profile
  • 59% positive cashflow rate means roughly half properties are cash-flow positive
  • Mid-to-upper tier market with properties from $79,900 to $590,000
  • Early-stage market data — revisit as more properties are analyzed for stronger signals

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