Cinema operator Reading International Q3 revenue drops 13%
Reading International's Q3 2025 revenue fell by 13%, with a 14% decline in cinema revenue due to a less appealing movie slate and other factors. Despite this, the company reported its best quarterly results since 2019, with a 41% improvement in net loss year-over-year. Debt was reduced by 15% through real estate sales. The company anticipates a cinema rebound in Q4 and a strong 2026 movie release schedule. Analyst coverage suggests a 'buy' rating, with a 12-month price target of $2.50.
)
Overview
- Reading International Q3 2025 revenue decreased 13%
- Company reported best quarterly results since 2019, Q3 net loss improved by 41% yr/yr
- Company reduced debt by almost 15% through real estate asset sales
Outlook
- Company expects fourth-quarter cinema rebound with promising holiday film lineup
- Reading anticipates strong 2026 movie release schedule
- Company highlights strong real estate portfolio supporting future growth
Result Drivers
- CINEMA REVENUE DECLINE - Cinema revenue decreased 14% due to less appealing movie slate, closure of U.S. cinema complex, and currency weakness
- REAL ESTATE REVENUE DECREASE - Real estate revenue decreased due to property sales, offset by improved U.S. theatre performance
- DEBT REDUCTION - Debt reduced by 15% primarily through proceeds from real estate asset sales
Key Details
Metric Beat/Mis Actual Consensu
s s
Estimate
Q3 Miss $52.17 $58.75
Revenue mln mln (1
Analyst)
Q3 EPS -$0.18
Q3 Net -$4.31
Income mln
Q3 -$329,00
Operatin 0
g Income
Q3 -$3.99
Pretax mln
Profit
Analyst Coverage
- The one available analyst rating on the shares is “buy”
- The average consensus recommendation for the leisure & recreation peer group is “buy”
- Wall Street’s median 12-month price target for Reading International Inc is $2.50, about 46.8% above its November 13 closing price of $1.33
Press Release: For questions concerning the data in this report, contact Estimates.Support@lseg.com. For any other questions or feedback, contact . (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.)
