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EVGO — Evgo News Story

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EVgo Q2 revenue beats on increased network throughput

EVgo Q2 revenue beats on increased network throughput


Overview

  • US fast charging network's Q2 revenue beat analyst expectations

  • Adjusted EBITDA loss widened yr/yr; net loss increased 55%

  • Company signed agreement with Tesla to deploy EVgo-branded Superchargers


Outlook

  • EVgo sees 2026 revenue of $400 mln to $430 mln

  • Company expects 2026 adjusted EBITDA between $(25) mln and $(5) mln

  • EVgo expects Q1 and Q4 2026 to be strongest for non-charging revenue


Result Drivers

  • CHARGING REVENUE GROWTH - Charging network revenue rose 19% yr/yr, driven by increased network throughput and more stalls in operation

  • NON-CHARGING REVENUE DECLINE - Non-charging network revenue fell 54% yr/yr, mainly due to lower eXtend and ancillary revenue

  • TESLA PARTNERSHIP - Signed agreement with Tesla to deploy EVgo-branded Superchargers starting in 2026


Company press release: ID:nGNX2nHxQZ


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q2 Revenue

Beat

$82.65 mln

$79.91 mln (7 Analysts)

Q2 Loss Per Share

$0.15

Q2 Net Loss

$46.34 mln

Q2 Adjusted EBITDA

-$10.57 mln

Q2 Adjusted Gross Margin

31.80%

Q2 Adjusted Gross Profit

$26.28 mln

Q2 Capex

$33.82 mln


Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 7 "strong buy" or "buy", 2 "hold" and 1 "sell" or "strong sell"

  • Wall Street's median 12-month price target for EVgo Inc is $3.50, about 102.3% above its August 4 closing price of $1.73


Reuters Recommended Reads

  • Aug 4 - Tesla's July China-made EV sales rise 37.8% y/y

  • Aug 4 - Lucid to delay affordable EV launch amid 'operational reset'

  • Aug 4 - Battery maker Amprius Q2 revenue more than doubles, beats estimates on drone, e-mobility demand


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.)

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