2916 N Highway 87NewtonTX75966








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Nearby investment properties with comparable prices

Ziffy AI Summary
A quick, investor-focused snapshot highlighting income strength, yield potential.
| Key metrics | Value |
|---|---|
| Price | $399,900 |
| Est. Rent | $3,200/mo |
| ROI | 18% |
- Attractive rent-to-price ratio for income stability
- Good fit for DSCR financing with healthy coverage


Investment Highlights
Investment property for sale in Newton at 2916 N Highway 87, Newton, TX, 75966 offers a 10.73% rental yield on a $359,000 purchase with $3,209/mo rent. Total monthly income registers $3,209/mo, and a $1,757/mo payment leaves $656/mo available for distribution. Annual cash flow reaches $7,875/yr on $119,009 to close, and return on cash invested stands at 26.53% in year one. Equity gained on principal adds $2,317/yr while 5% annual appreciation supports $99,185 over five years. Portfolio math shows five-year ROI at 139.56% and total cumulative return in cash at $166,087. Financing is available via Ziffy Mortgage’s DSCR loan, which evaluates $3,209/mo property income against a $1,757/mo payment rather than investor’s personal income documents like W2s, Salary slips, and Tax returns.
Single Family
Built in N/A
10 Acres lot
$N/A/sqft
No HOA
Neighborhood Data
Neighborhood data shown for ZIP Code: 75966, Newton, TX area.
Housing Distribution
Housing Statistics
| Category | Value |
|---|---|
| Total HU (Housing Units) | 2,041 (100%) |
| Owner Occupied HU | 1,399 (68.5%) |
| Renter Occupied HU | 303 (14.8%) |
| Vacant Housing Units | 339 (16.6%) |
| Median Home Value | $103,840 |
| Average Home Value | $142,336 |
Housing Distribution
Address Breakdown
Residential
1,588
Single Family
1,586
Multi-Family
2
Businesses
157
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Listed by: Rebecka Sellers • Triangle Real Estate, LLC
Mls Name: BBOR
Mls Provider:
Mls ID: #254050
Disclaimer: All information provided is deemed reliable but is not guaranteed. Information being provided is for consumers' personal, non-commercial use and may not be used for any purpose other than to identify prospective properties consumers may be interested in purchasing.







