3 Bargain Stocks for Investors on a Budget

Core Viewpoint - The article discusses the financial challenges faced by American households and suggests three bargain stocks that could be considered for investment, emphasizing the need for cost-effective investment strategies in a tight financial environment [1][2][3]. Group 1: Pfizer - Pfizer's stock has seen a 60% decline from its late-2021 high, primarily due to the waning demand for its COVID-19 vaccine and treatment, with projected revenue dropping from $100 billion in 2022 to $63 billion in 2023 [5][6]. - Despite current challenges, Pfizer has a robust pipeline with 18 phase 3 oncology drugs, including Elrexfio and Sigvotatug vedotin, which could generate over $1 billion in annual sales each by 2030 [7][8]. - The stock is currently priced at about 8 times next year's expected per-share earnings, with a forward-looking dividend yield of 7.1%, making it attractive for investors seeking regular cash flow [9]. Group 2: Uber Technologies - Uber Technologies is trading at over 30 times this year's projected per-share profit, but its growth potential is significant, driven by changing consumer preferences away from car ownership, particularly among younger generations [10][12]. - A Deloitte survey indicates that 44% of 18- to 34-year-olds are considering forgoing car ownership, which supports Uber's growth trajectory as this demographic matures [12][13]. - The company's ability to maintain its growth rate positions it well for future valuation increases, despite current pricing levels [13]. Group 3: Qualcomm - Qualcomm is positioned to benefit from the growing mobile AI market, which is expected to expand at an annualized rate of nearly 29% through 2033, as mobile devices increasingly handle AI tasks onboard [14][16]. - The company has made strides in the automotive sector, collaborating with BMW on an automated driving assistance system, enhancing its market presence [17]. - Qualcomm's stock is currently priced at only 14 times this year's anticipated per-share earnings, indicating potential for upside as the demand for affordable mobile AI processors increases [18].