For a mid-market PE add on acquisition in the Polymers space, Quantum conducted detailed synergy assessment and integration planning. The Quantum team worked closely with the buyer and the target for a bottom up assessment of synergies in Commercial, Manufacturing, Sourcing, Supply Chain and G&A. The synergies included consolidation of manufacturing footprint, extensive sourcing / in-sourcing opportunities and cross-selling. The manufacturing consolidation scenario was developed through a reactor level modeling of chemistry, batch sizes, utilization and capacity. Sourcing synergies were developed through extensive workshops. The team developed a detailed implementation plan and a detailed estimate of one time costs for the manufacturing consolidation.
For a $750M global chemicals company (metal working fluids, lubricants, coatings) led a global diligence for the acquisition of a similar sized global competitor. The Quantum team acted as a trusted adviser to the buyer’s Executive team, managed other diligence providers, and guided the effort in assessment of opportunities and risks in global manufacturing, sourcing, organization, SG&A and commercial integration.
For a $700M global chemicals company, led the diligence for the acquisition of a $350M global specialty chemicals manufacturer (coatings and colorants). The Quantum team worked closely with the bidder’s management team to assess synergies in manufacturing, sourcing, supply chain and G&A. Conducted global site visits, developed footprint rationalization scenarios, developed integrated organization structure, assessed combined sourcing synergies and potential SG&A reductions
Operational Due Diligence on the global carve out of a $1B specialty coatings manufacturer. Identified $60M in EBITDA improvements from manufacturing efficiencies, footprint consolidation, strategic sourcing and G&A reduction.
For a $800M global specialty chemicals manufacturer with significant excess capacity and declining markets, developed a detailed business case and plan to rationalize its manufacturing capacity. Modelled multiple scenarios based on cost/benefits, market and competitive impacts and recommended a best fit scenario for implementation.