OpenAI and Anthropic are presenting a version of profitability that excludes their largest expenses: model training and inference. Critics compare this to an airline ignoring the cost of its jets. This financial engineering aims to create a positive outlook for potential IPOs but masks their true cash burn rate.

Companies that grow via frequent acquisitions often exclude integration costs from adjusted metrics by labeling them "one-time" charges. This is misleading. For this business model, these are predictable, recurring operational expenses and should be treated as such by analysts calculating a company's true profitability.

To counter analysts' negative view of TCI's high capital costs and low GAAP profits, Malone created EBITDA. This metric highlighted the company's strong underlying cash flow by adding back non-cash depreciation, successfully changing the narrative around the business model.

Originally, EBITDA was a tool for leveraged buyout investors to see if a company could cover debt payments if it halted all capital expenditures. Its evolution into a primary metric for overall business health ignores critical factors like working capital and maintenance CapEx, distorting reality.

Adobe's introduction of the "AI-influenced ARR" metric is being criticized as the new "community-adjusted EBITDA." It's seen as a way to reclassify existing SaaS revenue to satisfy market demand for AI growth, rather than reflecting genuinely new, AI-driven product adoption and revenue streams.

WeWork created "Community Adjusted EBITDA," a metric that conveniently excluded core costs like rent and salaries. This farcical KPI incentivized top-line growth at any cost, masking massive unprofitability and ultimately destroying shareholder value. Be wary of overly creative accounting.

The use of "adjusted EBITDA," which includes unrealized synergies and cost savings, has doubled over a decade. This practice makes leverage appear lower than it is on a reported basis, concealing significant risk. An S&P study confirmed these adjustments are rarely realized, particularly in the single-B space.

Widespread use of non-GAAP metrics that exclude stock-based compensation (SBC) creates a misleading picture of profitability. In reality, many SaaS firms have minimal GAAP earnings, meaning there's no fundamental 'floor' for value investors to step in and buy during a market panic.

Before analyzing a balance sheet or income statement, read the footnotes. They act as a legend, revealing the specific accounting choices, definitions, and modifications management has made. This context is essential to accurately interpret the numbers and understand the underlying business reality.