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SoFi marks new loans up significantly on day one. To justify these aggressive marks to auditors, they sell loans at a high price. However, Muddy Waters alleges SoFi finances 80-90% of the purchase price for the buyers, essentially subsidizing the transaction to validate its own accounting.

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Scott Goodwin highlights that while major banks report stable consumer credit, they overlook the explosive growth of online lenders like Upstart and SoFi. This hidden leverage, often ending up on insurance company balance sheets, means the US consumer is far more indebted than traditional metrics suggest.

A financial model where a pool of individuals receives better borrowing rates than diversified private credit companies raises a red flag. This discrepancy suggests the risk assessment is questionable and the source of the financing spread needs deeper investigation, as individuals are typically considered riskier bets.

Sea Limited's low Non-Performing Loan (NPL) ratio may be misleading. A fast-growing loan book's denominator (new loans) can mask the numerator (older, soured loans), making NPL a lagging and potentially deceptive indicator of true credit quality.

Lenders allow struggling borrowers to skip cash interest payments by adding the amount to the loan's principal balance. This practice, called 'Payment in Kind' (PIK), hides defaults, artificially inflates asset values, and creates a deceptively low official default rate, masking escalating risk within the system.

Profits from AI infrastructure (e.g., NVIDIA chips) can be misleading. The customer's purchase may be funded by a venture investment from the seller itself, making the revenue less recurring than it appears and complicating traditional valuation methods.

A significant valuation gap exists where private credit funds use 'mark-to-model' to value software loans near par. Meanwhile, similar loans in the public CLO market trade at significant discounts (e.g., 70 cents on the dollar). This discrepancy conceals unrealized losses and creates future repricing risk for fund investors.

Beyond outright fraud, startups often misrepresent financial health in subtle ways. Common examples include classifying trial revenue as ARR or recognizing contracts that have "out for convenience" clauses. These gray-area distinctions can drastically inflate a company's perceived stability and mislead investors.

Tranched rounds involve an investor buying shares at two prices (e.g., $250M and $1B) in the same financing. While the investor gets a lower blended cost basis, the company gets to announce the higher valuation. It's a financial engineering tactic that satisfies egos but creates an optics trap.

Fahmi Quadir explains that businesses with deteriorating fundamentals will almost always resort to financial engineering to hide their problems. This creates a powerful link for short sellers: identifying a company with a broken business model is a strong indicator of potential accounting fraud.

Large tech firms invest in AI startups who then agree to spend that money on the investor's services. This creates a "circular" flow of cash that boosts the startup's perceived revenue and the tech giant's AI-related sales, creating questionable accounting.

SoFi's Accounting May Be Propped Up by Circular, Self-Financed Loan Sales | RiffOn