Supply chain disruption is now a recurring driver of financial loss, with nearly half of organizations losing up to 4% of annual revenue, according to new research from Sphera.
The study found that 44.5% of organizations experienced annual revenue losses of 3–4% due to disruption over the past three years, with an average annual loss of 2.4%.
“Disruption is no longer the exception—it is a constant,” says Paul Marushka, CEO and president of Sphera. “What recent events have made clear is that risk is both hidden and overwhelming. Organizations are dealing with more signals than ever, but they still can’t identify or prioritize what actually matters. This isn’t a visibility problem—it’s an insight and timing problem. The gap between signal and action is where revenue is lost.”
Key takeaways:
· Organizations take an average of 8.7 hours to detect disruption and more than 40 hours to understand its impact, creating a multi-day delay between risk emerging and effective response. During this window, disruption escalates and financial loss compounds.
· Despite rising awareness, organizations remain exposed. 100% of executives surveyed report concern about potential supply chain disruption linked to instability in the Strait of Hormuz, with 36% “very concerned.”
· While most organizations monitor Tier 1 and Tier 2 suppliers, only 12% have visibility into Tier 3 and beyond where disruption often originates. These hidden upstream dependencies, combined with delayed response, create systemic exposure that is difficult to detect and harder to manage in real time.
· To address these challenges, Sphera announced new Supply Chain Risk Management (SCRM) capabilities designed to transform how organizations identify, prioritize, and respond to risk.
· Sphera’s platform reveals hidden dependencies across components, materials, and supply paths; connects risk signals directly to products and business impact; draws on exclusive proprietary datasets supporting confident, defensible decisions; turns complex data into clear, real-time risk insight; filters noise to surface the risks that matter most; and enables faster, coordinated response through AI-driven workflows.
