New search
Property profile & analytics
OFF-MARKET
Estimated value
$1,150,000
Retail space
10196 Nash St, Middlesex, NC 27557-8294
Individually Owned
Absentee Owner
~
Est. High Equity
Property ID
US53-2815932
Property profile
Verified
Property type
Retail space
Use group
RETAIL STORES (PERSONAL SERVICES)
Year built
1950
Total area
11,000 SF
Lot
0.13 ac (5,663 SF)
Zoning code
C1
APN
273415-52-9704
UPID
US53-2815932
Cap rate & NOI
Priority signal for investors
Implied cap rate, NOI & suggested price
Cap rate vs submarket · NOI estimate · 3 price anchors
Implied cap rate, NOI & suggested price
Cap vs submarket · NOI estimate · 3 price anchors
Current use
Occupant on record · Public records
-
Middlesex Pharmacy Pharmacy
Value estimations
Realmo proprietary · 4 methods
AI Approach
AI
$925k
CAP Approach
CAP
by Request
Comparable Approach
Comparable
$1.25M
Blend (final)
Blend
$1.15M
Owner & transaction history
Abhijitkumar Chauhan
Abhijitkumar Chauhan
since 2025
1 recorded transaction
Zoning & alternative use
C1 · Middlesex, NC
Permitted uses
Permitted uses
Allowed · conditional · prohibited
Cap rate
Implied · in-place · derived from last sale + estimated NOI
Implied Cap rate
#1
Implied · in-place · NOI ÷ last sale
In-place · derived from last sale + estimated NOI
Cap rate, NOI & submarket benchmark
Implied cap rate vs Middlesex submarket · NOI estimate · Typical band, median & reading
Implied cap rate, NOI & submarket benchmark
Cap vs Middlesex submarket · NOI estimate · typical band, median & reading
Refine your cap rate
8-question underwriting flow
1.
Property current status — Going-In vs Stabilized
2.
Price for denominator — asking / offer / market
3.
Leasing status & lease structure (NNN / Gross)
4.
Tenant risk profile & vacancy assumption
5.
Upload T12 / rent roll / OM (optional)
Refine in 60 seconds, get exact suggested price
T12 upload · Submarket benchmarks · Sensitivity grid
Suggested price · 3 cap rate anchors
Income approach @ 5% / 7% / 9% — aggressive / typical / conservative
Suggested price at 5% / 7% / 9% cap
Aggressive / typical / conservative · Implied $/SF per anchor · Sensitivity grid
Suggested price at 5% / 7% / 9% cap
Aggressive / typical / conservative · implied $/SF · sensitivity
Value
AI, CAP & Alternative Use estimations · Realmo proprietary blendValue Estimations
Based on Realmo’s proprietary methodology
AI Approach
Method
Estimation
Statistic approach
by Request
ML approach
$925,000
CAP Approach
CAP Return
Estimation
6%
by Request
6.5%
by Request
7%
by Request
Blend value · Realmo final
$1.15M
Range $1.04M – $1.27M · ±10%
Realmo estimate · informational only.
These numbers are calculated by our models from public records and may not reflect actual market value.
Not an appraisal.
Verify with a licensed appraiser before transacting. Realmo accepts no liability for divergence from real-world outcomes.
View the full estimation — every method, every assumption
Confidence drivers & risk notes · Custom comparable set · Free for first 3 / day
Full estimation methodology
Every method · every assumption · confidence drivers
Price per SF
Sale + rent benchmarks
Subject property
$105 / SF
Submarket sale & rent benchmarks
Median sale $/SF · Asking & closed rent · Submarket vacancy
Submarket sale & rent benchmarks
Median sale $/SF · asking & closed rent · submarket vacancy
Property tax & assessments
Tax year 2024Property tax & assessments
Tax year 2024
Tax billed
$5,527
Tax year 2024
Assessed value
$113,660
Assessed 2024
Previous assessed
$113,660
+0.0% YoY
Effective rate
4.86%
On assessed value
Assessed land
$7,700
Assessed improvement
$105,960
Land market value
$7,700
Improvement market value
$105,960
Total market value
$113,660
Comparables
6 recent transactions · within 1.5 miComparable in this city
6 recent transactions
Comparable in this City
Similar Nearby for Sale
Recent comparable sales
Sale price & price/SF · Sale date & distance · Adjustments & confidence
Recent comparable sales
Sale price & $/SF · sale date & distance · adjustments
Property description
Physical attributes from public recordsBuilding & lot
Public records
Property type
Retail space
Use group
RETAIL STORES (PERSONAL SERVICES)
Status
Off-Market
Year built
1950
Heating
NONE
Cooling
YES
Total area
11,000 SF
Lot
0.13 ac (5,663 SF)
Zoning code
C1
APN
273415-52-9704
UPID
US53-2815932
Jurisdiction
NASH
Zoning & alternative use
C1 · Middlesex, NC
Zoning C1 · permitted uses
C1 · Middlesex, NC
Permitted & conditional uses
Allowed uses · Special-permit conditions · Prohibited uses
Permitted & conditional uses
Allowed · special-permit conditions · prohibited
Middlesex. Always verify with local authorities before improvements.
Building & site characteristics
From public records
Year built
1950
Heating
NONE
Cooling
Yes
Lot
0.13 ac
Current owner
From public records · entity-resolved
Abhijitkumar Chauhan
Individual
Mailing address
7230 FLOWER HL RD, MIDDLESEX, NC 27557-9106
Mailing matches property
Different — outreach signal
Owner-occupied
No
Ownership since
2025
Owner contacts — direct phone, email, and related entities
Decision-maker phone · Verified email · Related entities & filings
Owner contacts
Email · phone · related entities
Sales History
1 recorded event · public records
Date
Price
Buyer
Seller
Deed Type
Mortgage
Dec 10, 2025
—
Abhijitkumar Chauhan
—
Deed
related
$302,586 · Catherine Smith
Coming soon
Costs & Benchmarks
Operating expenses, capex projections, utility benchmarks, and submarket comparables — all in one view.
Coming soon
Risks
Flood, climate, environmental, title, and tenant-concentration risk — surfaced with mitigations and source citations.
Try Rey
Ask anything about this address in plain English.
“Is 15.6% cap rate sustainable?” · “Best tenant mix for BU1?” · “What’s the redev upside?”
You own 10196 Nash St?
List it free. Reach 20,000 daily buyers.
We’ve already pulled the facts. Confirm photos + price and you’re live in 2 minutes.
List this address →
Full reports are paid
Unlock the full Property Analytics report
Start free for 7 days — no card required. Full owner contacts, all 4 valuations with methodology, refine flow, comparable adjustments, foot-traffic deep dive, export to PDF / CSV.
