Mobile Infrastructure Q2 revenue dips 1% as asset sales weigh

Mobile Infrastructure

11/08/2026 21:13

Overview
US parking asset owner's Q2 revenue declined 1% yr/yr, mainly due to asset sales
Net loss for Q2 narrowed to $3.2 mln from $4.7 mln last year
Company paid down $4.5 mln on credit line using cash flow from operations

Outlook
Mobile Infrastructure reiterates 2026 revenue guidance of $35 mln to $38 mln
Company expects 2026 NOI of $21.5 mln to $23.0 mln
Company sees 2026 adjusted EBITDA between $15.0 mln and $16.5 mln

Result Drivers
CONTRACT PARKING VOLUME - Company said 12% yr/yr growth in contract parking volumes was driven by return-to-office momentum and residential demand
TRANSIENT REVENUE RECOVERY - Transient revenue increased 4% yr/yr as key markets stabilized after construction disruptions and venues reopened
EXPENSE CONTROL - Company cited active property tax appeal management and disciplined operating expense control as drivers of improved same-location NOI

Company press release: ID:nGNX1djRVr

Key Details
Metric
Beat/Miss
Actual
Consensus Estimate
Q2 Revenue
 
$8.90 mln
 
Q2 Net Loss
 
$3.20 mln
 
Q2 Adjusted EBITDA
 
$4.10 mln
 

Analyst Coverage
The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 3 "strong buy" or "buy", no "hold" and no "sell" or "strong sell"
The average consensus recommendation for the real estate rental, development & operations peer group is "buy"
Wall Street's median 12-month price target for Mobile Infrastructure Corp is $6.00, about 117.4% above its August 10 closing price of $2.76

Reuters Recommended Reads
Aug 10 - Medical Properties Trust Q2 loss narrows, helped by asset sales, Infracore IPO proceeds
Aug 10 - Simon Property raises annual funds from operations, net income forecasts on rising rent
Aug 10 - Sonida Senior Living Q2 same-store NOI rises 

For questions concerning the data in this report, contact Estimates.Support@lseg.com. For any other questions or feedback, contact reuters.support@thomsonreuters.com.

(This story was created using Reuters automation and AI based on LSEG and company data. It was checked and edited by a Reuters journalist prior to publication.)