Brookfield Business Corp. Class A (BBUC) Q2 2026 Earnings Report

The call conveyed a generally positive strategic and financial momentum: strong capital recycling ($1.2B), meaningful liquidity ($2.8B), disciplined buybacks (> $300M repurchased at large discounts), targeted acquisitions, and early traction from a strategic AI partnership that management expects will drive material operational savings. Operationally, same-store EBITDA growth (~+5–6% in key segments) and a sizable increase in adjusted EFO (+~23.5%) provide additional upside. Offsetting these positives are near-term pressure points: a slight decline in consolidated adjusted EBITDA, weakness in Infrastructure Services (≈-11.9%), rising insurance loss ratios at Sagen, elevated investment spending (e.g., Scientific Games), and capital-structure/credit concerns at CDK. Overall, the highlights outweigh the lowlights, though several items warrant monitoring.

Management reiterated a balanced growth and capital-allocation plan with many concrete metrics: Q2 adjusted EBITDA was $587M and adjusted EFO $289M; pro forma corporate liquidity was about $2.8B; the company generated ~$1.2B of asset-sale/distribution proceeds in the past six months (including the ~$650M Multiplex sale); it committed >$300M for two acquisitions (WFC and Gregg) and closed a $100M DeployCo investment (up to a $150M commitment); buyback activity includes >$300M repurchased since early last year at roughly a 50% discount to NAV, ~$50M repurchased in the quarter, and management is allocating $150M of recent proceeds to further repurchases while renewing the NCIB; the firm is tracking toward a $2B capital-recycling target over 24 months with ~ $1.2B realized so far; segment results cited industrial EBITDA $323M (+6% same-store), business services $204M (+6% same-store) and infrastructure services $96M; Clarios repaid $500M of debt and is accelerating a multibillion‑dollar U.S. investment program; Sagen’s loss ratio is ~17% with an expected long‑term range of 15–25% (reserve strengthening ~1/3 of the reported loss ratio); recent buy multiples were ~9–11x EBITDA (≈10x average); and management highlighted AI upside—“thousands” of use cases and “hundreds of millions” of potential run‑rate cost savings across the portfolio.