The global automotive industry experienced a 51% drop in company filings mentions of social responsibility in Q4 2023 compared with the previous quarter, with the highest share accounted for by Penske Automotive Group with 45% year-on-year increase, according to GlobalData’s analysis of over 160 automotive company filings. GlobalData’s Automotive: Filings Trends & Signals Q4 2023 report delves into earnings call transcripts and quarterly reports within the automotive industry, extracting trends, signals, and comparative data to help businesses assess their performance, identify competitive intelligence, evaluate risks, and gain a comprehensive understanding of key industry events. Buy the report here.

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Notably, social responsibility was one of the most frequently referenced themes in Q4 2023, ranking highest in terms of mentions, ahead of cloud and robo-advice, according to GlobalData.

Of the top leading companies in the automotive industry, Penske Automotive Group had the greatest increase in references for social responsibility in Q4 2023, compared with the previous quarter. GlobalData identified 45 social responsibility-related sentences in the company's filings - 3% of all sentences - and an increase of 45% in Q4 2023 compared with Q4 2022. Genuine Parts’s mentions of social responsibility dropped by 9% to 31 and Rivian Automotive’s by 5% to 20 and LKQ’s by 800% to 9 and General Motors’s by 60% to 8.

GlobalData’s Company Filings Analytics also applies sentiment weight to reference sentences, based on whether the sentences are positive, negative, or neutral. Starting at 100 in 2020, an index over 100 is more positive. The overall index for social responsibility in Q4 2023 was 82.

For further understanding of GlobalData's Automotive: Filings Trends & Signals Q4 2023, buy the report here.

This content was updated on 8 January 2024

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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.

GlobalData’s Company Filings Analytics uses machine learning to uncover key insights and track sentiment across millions of regulatory filings and other corporate disclosures for thousands of companies across the world’s largest industries.