Analyst Consensus

The information on this page was consolidated on 17 January 2022 and is compiled from submissions by 5 analysts.

LTG is committed to providing the market with helpful and relevant information to make informed decisions. As part of this commitment, LTG collects estimates from sell-side analysts who actively cover LTG in order to produce a company-compiled consensus.

2021 2022
£m £m
Revenue
Median 246.4 536.7
Range 238.9 – 248.1 528.1 – 541.2
Adjusted EBIT *
Median 52.4 93.5
Range 51.8 – 53.6 89.5 – 96.1
Net Cash / (debt)
Median (169.2) (118.0)
Range (172.4) – (154.0) (136.4) – (112.0)

Contributors: Numis (House broker), Goldman Sachs (House broker) (exc. Net Debt), Peel Hunt, Panmure Gordon and Berenberg.

To ensure the market has access to accurate information we may exclude estimates from analysts where, for example, they have not published updated research notes for the past 6 months, or where specific events have not yet been reflected in their forecasts. Examples of such events include the publication of interim or full year results, a new accounting standard or an M&A event.

*As defined on page 120 of the 2020 Annual Report and Accounts.

Disclaimer:
The analysts’ consensus estimates are for informational purposes only and are provided only for the convenience of our investors and do not represent the opinions, forecasts or forward-looking statements of LTG, or of its management. LTG does not endorse or approve the analysts’ consensus estimates or any underlying analysts’ estimate. LTG is not authorised by the Financial Conduct Authority and cannot offer investment advice and so this information should not be relied upon in any investment decision. Although LTG intends to update the analysis periodically, no obligation is assumed to update or revise such information to reflect circumstances existing after the date above. In consequence, LTG cannot be held responsible for any of the information, statement or data contained in or omitted from this table and provides no assurance with regards to the accuracy or correctness of the data.

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