Iron Mountain Q3 profit beats estimates on higher storage rental and service revenue

Reuters
2025/11/05
Iron Mountain Q3 profit beats estimates on higher storage rental and service revenue

Overview

  • Iron Mountain Q3 revenue rises 12.6% yr/yr, meeting analyst expectations

  • Adjusted EPS for Q3 beats analyst expectations, reflecting strong performance

  • Company increases quarterly dividend by 10%, driven by AFFO growth

Outlook

  • Iron Mountain reiterates full-year 2025 guidance, with Q4 revenue expected to rise ~14%

  • Company expects Q4 2025 adjusted EBITDA to increase ~14%

Result Drivers

  • GROWTH BUSINESSES - Data center, digital, and ALM businesses collectively grew over 30% year-over-year, driving revenue growth

  • REVENUE INCREASE - Record revenue of $1.8 bln, driven by a 9.5% increase in storage rental revenue and a 15.3% increase in service revenue

  • ADJUSTED EBITDA GROWTH - Record Adjusted EBITDA of $660 mln, driven by increased revenue and improved operating leverage

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 Revenue

Meet

$1.75 bln

$1.75 bln (8 Analysts)

Q3 Adjusted EPS

Beat

$0.54

$0.53 (6 Analysts)

Q3 EPS

$0.28

Q3 Net Income

$86 mln

Q3 Adjusted EBITDA

Beat

$660 mln

$639.80 mln (7 Analysts)

Q3 Adjusted EBITDA Margin

37.60%

Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 10 "strong buy" or "buy", 1 "hold" and 1 "sell" or "strong sell"

  • The average consensus recommendation for the specialized reits peer group is "buy"

  • Wall Street's median 12-month price target for Iron Mountain Inc is $122.00, about 15.3% above its November 4 closing price of $103.32

  • The stock recently traded at 45 times the next 12-month earnings vs. a P/E of 45 three months ago

Press Release: ID:nBw6Sjp5pa

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

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