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Lancaster, TX Long-Term Rental Analysis

Analyze rental property cap rates, cash-on-cash returns, and cashflow for long-term rental investments in Lancaster, TX. Based on 10+ datapoints.

Lancaster, TX Long-Term Rental Investment Snapshot

Based on 10+ long-term rental datapoints

Median Cap Rate

4.1%

Avg Cash on Cash

-10.4%

Median Cashflow

-$556/mo

Avg Rent Estimate

$2,189/mo

Avg Price

$306,992

Price Range

$243,300 - $369,900

Rent to Price

0.71%

low ratio

Positive Cashflow

0%

of analyzed properties

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

Lancaster, TX is an emerging long-term rental market gaining investor attention. With 10+ properties analyzed, early data shows the market is developing. The median cap rate of 4.1% suggests room for early-mover advantage as more rental inventory becomes available.

Based on 10+ analyzed properties, the median monthly cashflow in Lancaster, TX is -$556 with average rents of $2,189/month. Properties range from $243,300 to $369,900, offering entry points across multiple investment budgets.

1758 Overlook Dr, Lancaster, TX 75146

Price

$270,000

Rent

$2,377

CachFlow

-$429

CoC

-9.08

Full Analysis

925 Balkan Dr, Lancaster, TX 75134

Price

$369,900

Rent

$2,354

CachFlow

-$899

CoC

-13.89

Full Analysis

110 Hackberry St, Lancaster, TX 75146

Price

$274,999

Rent

$2,110

CachFlow

-$256

CoC

-5.32

Full Analysis

2131 Candace Dr, Lancaster, TX 75146

Price

$316,700

Rent

$2,336

CachFlow

-$764

CoC

-13.79

Full Analysis

927 Poinsettia Dr, Lancaster, TX 75146

Price

$255,100

Rent

$2,063

CachFlow

-$334

CoC

-7.48

Full Analysis
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Lancaster, TX Rental Market Insights

  • Median cashflow is -$556/month — careful deal selection is essential here
  • 4.1% median cap rate is typical of appreciation-focused markets
  • At 0% positive cashflow rate, Lancaster, TX requires selective property picks
  • Mid-to-upper tier market with properties from $243,300 to $369,900
  • Early-stage market data — revisit as more properties are analyzed for stronger signals

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