The Bond Market Sell-Off Is Appearing in Earnings Reports

Long-dated government bond yields are near multi-decade highs globally, driven by persistent fiscal deficits, heavy debt issuance and concerns over central-bank credibility, raising financing costs for sovereigns and companies. AI hyperscaler capex is projected to reach $750B this year and $1.2T next year, with Goldman Sachs estimating 35% of next year's spend could be debt-funded; hyperscalers also carry roughly $1.65T of off-balance-sheet obligations, up 8x since 2022. Klarna shares fell about 21% after it cut full-year revenue guidance despite 27% revenue growth and 42% growth in transaction-margin dollars, while Home Depot beat expectations but posted only 1.7% comparable-sales growth amid a frozen housing market.

Analysis

The relevant transmission is not simply a higher discount rate: incremental AI financing raises the hurdle rate on projects whose payback is already uncertain. In the next 1-3 months, GOOG and META face greater multiple pressure than NVDA because the former must repeatedly justify capex and financing intensity while the latter retains near-term revenue visibility from committed infrastructure orders. Over 6-18 months, however, a sustained widening in hyperscaler credit spreads would be an early warning that customer ROI discipline is likely to migrate upstream into slower accelerator and networking orders.

HD is better positioned than LOW in a prolonged housing lock-in because professional repair, maintenance, and complex project demand is less dependent on home turnover than DIY discretionary spending. That is a relative, not absolute, positive: nominal ticket growth without unit growth leaves operating leverage constrained, while product-cost inflation can turn apparently stable comps into margin pressure. The catalyst for a sector rerating is not weak housing data becoming "less bad"; it is a measurable recovery in transactions, renovation financing, or project-volume growth.

KLAR remains a credit-cycle underwriting question rather than an earnings-revision opportunity. The key downside is that consumer stress can surface first through cohort loss severity and funding costs, even while reported revenue and merchant growth remain healthy; management changes increase the probability that consensus is underestimating execution and forecasting risk. Without loan-vintage delinquency curves, net credit-loss trends, deposit beta, and securitization/funding spreads, the post-earnings drawdown is not yet a high-conviction long entry.

Key Decisions for Investors

• Initiate a 1-3 month relative-value position: long HD / short RKT, dollar neutral. HD should monetize repair-and-remodel resilience while RKT remains more directly exposed to mortgage-rate lock-in and weak refinancing volumes. Exit if the 10-year Treasury yield falls materially and mortgage applications or existing-home transactions turn higher for two consecutive monthly releases.
• Maintain an underweight in GOOG and META versus a neutral benchmark while long-duration yields and investment-grade tech spreads are rising. The downside catalyst is further capex/FCF-guide pressure at the next earnings cycle; cover if management demonstrates stable free-cash-flow conversion despite higher funding costs or if long-end yields retrace decisively.
• For tactical AI exposure, use a small long NVDA / short equal-weight GOOG-META pair for 1-2 months rather than outright long hyperscalers. Near-term equipment revenue can remain supported even as capital-provider multiples compress; stop out if NVDA order commentary weakens or hyperscalers signal aggregate capex reductions rather than financing changes.
• Do not buy KLAR on the drawdown absent disclosure showing stable loss rates by lending vintage and funding-cost resilience. Set an alert for a further guidance reduction, widening funding spreads, or rising delinquency/charge-off metrics; those would support a short-biased setup, while clean credit data and stabilized Germany volumes would invalidate it.