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

7%

Avg Cash on Cash

4.6%

Median Cashflow

$202/mo

Avg Rent Estimate

$2,649/mo

Avg Price

$257,855

Price Range

$79,900 - $530,000

Rent to Price

1.03%

strong ratio

Positive Cashflow

68%

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 7% 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 $202 with average rents of $2,649/month. Properties range from $79,900 to $530,000, offering entry points across multiple investment budgets.

2309 Moore St, Abilene, TX 79605

Price

$210,000

Rent

$2,685

CachFlow

$468

CoC

12.73

Full Analysis

4917 Crystal Crk, Abilene, TX 79606

Price

$333,400

Rent

$3,098

CachFlow

$41

CoC

0.7

Full Analysis

749 S Leggett Dr, Abilene, TX 79605

Price

$325,300

Rent

$2,775

CachFlow

-$132

CoC

-2.32

Full Analysis

13006 Rainey Ridge Ln, Abilene, TX 79602

Price

$425,000

Rent

$2,123

CachFlow

-$1,071

CoC

-14.4

Full Analysis

3665 Trinity Ln, Abilene, TX 79602

Price

$194,300

Rent

$2,444

CachFlow

$450

CoC

13.23

Full Analysis
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Abilene, TX Rental Market Insights

  • Positive median cashflow of $202/month indicates most investors cover expenses
  • 7% median cap rate reflects a balanced risk-return profile
  • 68% positive cashflow rate means roughly half properties are cash-flow positive
  • Mid-to-upper tier market with properties from $79,900 to $530,000
  • Early-stage market data — revisit as more properties are analyzed for stronger signals

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