Home Depot, Alibaba, and Amazon witness sentiment rise in Q3 2022, finds GlobalData

Sentiments* for mega cap companies** in the retail industry have increased by 5% in Q3 2022 over Q2 2022, finds GlobalData. According to the leading data and analytics company, the top companies in terms of market capitalization that had an uptick in sentiment in Q3 2022 over Q2 2022 include The Home Depot (11%), Alibaba Group Holding (6%), and Amazon (3%).

GlobalData’s report, ‘Company Filings Analytics – Trends & Signals Q3 2022’, reveals that this rise in sentiment was driven by smart logistics and increasing revenue.

Misa Singh, Analyst at GlobalData, comments: “Retailers’ operations were significantly hampered by the persistent COVID-19 resurgence, changes in foreign exchange rates, customer demand, inflation, and global supply chain constraints. However, by improving marginal profit, they were still able to generate consistent revenue.”

The Home Depot discussed sales, which increased 6.5% from the same period last year (Company ssquarter ended in August 2022) to $43.8 billion. The Home Depot delivered the highest sales dollar volume in the company’s history and mentioned the supply chain as being a crucial part of the ecosystem to boost productivity and serve customers.

Alibaba Group mentioned digitalizing logistics and enabling goods’ rapid cost-effective delivery. The company’s direct sales and other revenue increased by 8% to RMB65 billion ($9 billion), mostly due to a significant increase in online purchases of food, groceries, and fast-moving consumer goods (FMCG) goods.

Amazon discussed worldwide quarter sales of US$121.2 billion, which was higher than the revenue guidance range and represented a rise of 10% year-on-year. The company’s third-party sellers sold 57% of all items, a record-high proportion.

* GlobalData’s Company Filing Analytics platform provides predictive intelligence on a company’s performance and sector insights by systematically analyzing thousands of earnings statements and transcripts. It offers a sentiment score for each transcript/filing released by the company, leveraging the sentence-level sentiment model. This helps analyze whether a company’s performance is good or bad through sentiment analysis. Sentiment score is calculated as the proportion of positive sentences to the sum of positive and negative sentences.

**Companies with a market cap of more than $200 billion

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