Should you choose the legendary stability of Coca-Cola (KO 0.39%) or the explosive growth potential of Celsius (CELH +3.91%) for your portfolio? This comparison examines which beverage giant is better positioned for 2026.

Coca-Cola dominates the global market through a massive distribution network and iconic brands, appealing to conservative income seekers. Celsius focuses on functional energy drinks and younger demographics, prioritizing rapid market share expansion. While they operate in the same aisles, their financial profiles and growth trajectories suggest very different roles for an investor’s long-term strategy.

The case for Coca-Cola

Coca-Cola sells a portfolio of over 200 brands, including soft drinks, waters, coffees, and teas, to consumers in more than 200 countries. The business operates through several segments, including North America, EMEA, and Asia Pacific, relying on a complex network of bottling partners to reach local markets. For the year ended Dec. 31, 2025, one specific bottler accounted for roughly 10% of total operating revenues. Customer concentration like this adds a layer of risk to the business, as the company depends on these partners for volume and execution.

In FY 2025, revenue reached nearly $47.9 billion, showing a steady rise from approximately $47.1 billion the prior year. Net income for the period was close to $13.1 billion, resulting in a net margin of roughly 27.3%. This level of profitability is a hallmark of major players among beverage stocks worldwide. The growth reflects the company’s ability to pass on price increases even as global volume trends fluctuate.

As of its December 2025 balance sheet, Coca-Cola reported a debt-to-equity ratio of nearly 1.4x, which measures total debt against the value of shareholder equity. This indicates that the company uses a moderate amount of borrowed capital to finance its global operations. The current ratio stands at approximately 1.5x, which measures the company’s ability to cover its short-term liabilities with short-term assets. Free cash flow, which is cash from operations minus capital expenditures, was approximately $5.3 billion during the fiscal year.

The case for Celsius

Celsius operates as a functional beverage company with a portfolio that includes Celsius and Alani Nu. The business model relies heavily on strategic partnerships for distribution, particularly in international markets like the Nordics and Australia. In FY 2025, sales to distribution partner PepsiCo (PEP 0.29%) accounted for approximately 43.2% of total net revenue, which indicates a significant level of customer concentration risk. This partnership provides Celsius with the massive logistics scale needed to compete with established global brands.

Financial performance in FY 2025 showed revenue reaching approximately $2.5 billion, representing a significant growth rate of roughly 85.5% compared to the previous year. Despite this rapid top-line expansion, net income was roughly $108.0 million, leading to a net margin of approximately 4.3%. The company is currently focused on capturing market share and expanding its footprint rather than maximizing bottom-line profits. This strategy has allowed it to penetrate new demographics and retail channels quickly.

As of the December 2025 balance sheet, Celsius maintained a debt-to-equity ratio of approximately 0.2x. This low level suggests the company relies almost entirely on its own equity rather than borrowed funds to support its growth. The current ratio was roughly 1.7x, indicating a healthy cushion to meet near-term financial obligations. Free cash flow for the period reached $323.4 million, demonstrating that the company is generating positive cash from its operations while funding its expansion.

Risk profile comparison

Coca-Cola faces intense competition from global players such as PepsiCo and Nestlé, which may force price reductions or higher marketing spend. The company is also vulnerable to supply chain disruptions and volatility in the costs of raw materials like sucrose and aluminum. Furthermore, reliance on a vast digital infrastructure exposes the business to cybersecurity incidents and data privacy failures. Changes in the retail landscape, including the growth of e-commerce, require constant adaptation to maintain market share.

Celsius carries substantial risk due to its extreme reliance on its primary distributor for nearly half of its revenue. Because PepsiCo manages such a high percentage of the company’s volume, any disagreement or failure to execute by the distributor could materially harm financial results. The company must also defend its shelf space against established competitors like Monster Beverage (MNST 0.65%) and Keurig Dr Pepper (KDP +0.31%). Rapid expansion into international markets also introduces risks related to foreign regulations and differing consumer preferences.

Valuation comparison

Celsius offers a lower valuation on a forward-looking basis compared to Coca-Cola, despite its significantly higher revenue growth rate.

Sector benchmark uses the SPDR XLP sector ETF.
Valuation metrics sourced from Financial Modeling Prep (FMP) and may differ from other data providers.

Which stock would I buy in 2026?

Celsius and Coke appeal to very different investors.

• Coca-Cola is a mature veteran, running a global cash machine and a generous dividend program. You won’t see it posting incredible sales growth, but you can rely on its rock-solid execution.
• Celsius is a much younger business, showing hypergrowth financials but limited profits. Generally speaking, you may prefer this stock if you don’t mind taking some risk to get a shot at beating the broader market over the next few years.

There are no wrong answers here, since the two beverage stocks offer radically different investment theses.

That being said, Coca-Cola strikes me as the better buy right now. Sales and shipping volumes are rising, bottom-line profits are up even in this challenging economy, and new CEO Henrique Braun has embarked on a data-driven strategy.

You may not think of Coke as a play on AI and Big Data, but that’s the story, and it’s a smart shift. With a new line of sight to refreshed growth, Coca-Cola looks undervalued in 2026.

When companies must report carbon emissions using the same methodology, for example, or disclose labor conditions using identical categories, investors can compare performance, identify laggards and allocate capital accordingly. This push made comparisons possible and deception harder, although it still wasn’t foolproof. For example, a 2023 United Nations Environment Programme report on the fast-fashion industry found that many companies continue to make “vague and inflated” sustainability claims.

Second, there are no comprehensive frameworks in the U.S. that require businesses to judge how AI affects them in a material way and publicly disclose those impacts. Examples of AI-driven material impacts include whether algorithmic bias shapes business outcomes, or whether decisions on how to use AI systems carry significance for shareholders and the public.

Instead, AI governance remains dominated by the narrow inner circle of companies that build the AI systems, while affected communities rarely have a say in determining which AI impacts are material enough to warrant public attention. For example, Big Tech companies like Google, Microsoft, Apple, NVIDIA and others adhere to their own AI governance guidelines, with relatively little public input.

The development of sustainability principles offers some examples of how to build these frameworks. The EU’s Corporate Sustainability Reporting Directive requires over 50,000 companies to formally evaluate which sustainability topics are material to their stakeholders, and then disclose that information. These efforts try to ensure that accountability is clear across entire supply chains.

While nowhere nearly as comprehensive, U.S. regulations such as the 2010 Dodd-Frank financial reform and California’s law requiring reporting on statewide greenhouse gas emissions provide a similar blueprint that U.S. policymakers could build on if they chose.

A third problem is the general lack of third-party verification, making AI washing trivially easy. Effective disclosure means reporting all material impacts – not just cherry-picked successes.

In practice, AI audits can vary dramatically in rigor, scope and methodology. One auditor might conduct extensive testing across demographic groups, analyze decision-making and validate the quality of training data. Another might simply review documentation and accept company explanations at face value. Given the variety of AI auditing models out there, different auditors may use incompatible methodologies, making results impossible to compare. If companies adopted third-party accreditation systems to assess how they use AI, they would help ensure the accountability that self-reported claims cannot match.

By contrast, there was reasonable progress in this respect as companies adopted ESG principles. For example, institutions such as the Carbon Disclosure Project and Global Reporting Initiative have a network of partners that offer independent verification. These providers, certified under international standards, verify corporate sustainability data against rigorous criteria. That way, they provide the assurance that lets companies show the progress needed to unlock sustainable finance and mitigate legal risks. Third-party audits are far from perfect, but they offer a clear path for improvement.

The fourth principle is robust enforcement. Early ESG initiatives relied on reputational pressure and stakeholder goodwill – things that corporations routinely ignored when profits were at stake. When change came, it was because regulations established legal liability and financial penalties.

These consequences changed how corporations assess risk and continue to shape sustainability practices today. Volkswagen’s 2015 ‘Dieselgate’ scandal, for example, cost the company over US$30 billion in fines, settlements and criminal charges after U.S regulators found that the carmaker was cheating emissions tests. BP faced billions in penalties and liabilities for the 2010 Deepwater Horizon disaster, the biggest oil spill in the history of marine oil drilling operations.

The current enforcement gap in AI creates a predictable dynamic. The expected value of AI washing – like potential investment gains, competitive advantage, and market valuation increases – far exceeds the expected cost in terms of penalties and risk of detection. Until enforcement imposes consequences that exceed benefits, AI washing will persist as a rational business strategy rather than a risk to a business’s reputation.

Fortunately, investors are beginning to step up. The Federal Trade Commission, for example, launched Operation AI Comply in 2024, targeting deceptive AI claims, although this effort has been partially scaled back by the current Trump administration.

New standards for a new era

Until businesses address these four principles, AI washing will continue. Without standards and audits, even well-intentioned companies can’t know if their work meets adequate rigor. Without assessments of material impact, some groups of consumers or shareholders will be hurt. And without liability, even thorough auditors won’t be able to identify whether a business’s claims about AI are truthful.

These principles, applied broadly, also help explain why greenwashing persists. For example, the lack of universal reporting standards continues to leave some gaps, with data-quality issues persisting even as reporting frameworks emerged. More fundamentally, political buy-in for ESG has diminished significantly, particularly in the U.S., where over 150 bills were introduced across multiple states by 2023 to disincentivize firms from adopting ESG. Major financial institutions – including JP Morgan, State Street, BlackRock and PIMCO – have retreated from their earlier climate commitments amid political pressure as well as antitrust concerns.

This trend shows that even well designed accountability measures require durable political support to succeed. After all, corporate sustainability took more than 25 years to develop from an initial framework to mandatory standards, and it still remains a work in progress. AI, by contrast, is advancing exponentially in terms of its reach and societal impact. There may not be 25 years to catch up – but at least there are lessons from the recent past.

Suvrat Dhanorkar, Associate Professor of Operations Management, Georgia Institute of Technology

This article is republished from The Conversation under a Creative Commons license. Read the original article.