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 15+ datapoints.

Abilene, TX Long-Term Rental Investment Snapshot

Based on 15+ long-term rental datapoints

Median Cap Rate

6.1%

Avg Cash on Cash

2.1%

Median Cashflow

-$101/mo

Avg Rent Estimate

$2,093/mo

Avg Price

$243,563

Price Range

$119,900 - $486,800

Rent to Price

0.86%

okay ratio

Positive Cashflow

47%

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 15+ properties analyzed, early data shows the market is developing. The median cap rate of 6.1% suggests room for early-mover advantage as more rental inventory becomes available.

Based on 15+ analyzed properties, the median monthly cashflow in Abilene, TX is -$101 with average rents of $2,093/month. Properties range from $119,900 to $486,800, offering entry points across multiple investment budgets.

933 Avenue F, Abilene, TX 79601

Price

$247,200

Rent

$2,383

CachFlow

$108

CoC

2.5

Full Analysis

641 Green Valley Dr, Abilene, TX 79601

Price

$263,100

Rent

$3,103

CachFlow

$523

CoC

11.36

Full Analysis

1449 S 18th St, Abilene, TX 79602

Price

$170,000

Rent

$1,870

CachFlow

$168

CoC

5.65

Full Analysis

1710 Bob White Ct, Abilene, TX 79605

Price

$220,000

Rent

$2,020

CachFlow

$9

CoC

0.23

Full Analysis

5127 County Road 319, Abilene, TX 79601

Price

$349,500

Rent

$2,690

CachFlow

-$368

CoC

-6.02

Full Analysis
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Abilene, TX Rental Market Insights

  • Median cashflow is -$101/month — careful deal selection is essential here
  • 6.1% median cap rate reflects a balanced risk-return profile
  • 47% positive cashflow rate means roughly two in five properties are cash-flow positive
  • Mid-to-upper tier market with properties from $119,900 to $486,800
  • Early-stage market data — revisit as more properties are analyzed for stronger signals

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