PE Firm Maps East African Agribusiness: How Primary Intelligence Uncovered 23 Viable Targets and 4 Hidden Liabilities in a $45M Investment Thesis
A Nordic private equity firm with $1.8 billion AUM needed acquisition targets in East African agribusiness supply chains. Limited public data, opaque ownership, and fragmented regulation made conventional due diligence impossible. Field-driven intelligence identified 23 viable targets, mapped informal distribution across three markets, and flagged four targets with hidden liabilities.
Headline outcomes
Why conventional methods failed
Mid-sized East African agribusinesses are mostly family-held with no published financials; registries record beneficial ownership inconsistently; many maintain dual books; and informal broker networks move volumes that never appear in official statistics. Desk research — commercial databases and registries — had surfaced just four candidate targets, with revenue estimates carrying 40–60% error margins.
Our approach
A four-country field intelligence operation: direct mapping of processors, traders, and input suppliers through trade-zone canvassing; ownership verification through registry cross-checks, community knowledge, and transaction-history interviews; informal distribution network mapping to size true throughput; and regulatory exposure screening across four jurisdictions' licensing, tax, land, and export regimes.
The outcome
The operation identified 23 viable targets matching the fund's criteria — where desk research had found four. Four targets carrying hidden regulatory liabilities were flagged and removed before any capital was exposed. The client entered LOI negotiations with its top-ranked target within 90 days of report delivery, keeping the $45M first-phase consolidation strategy on schedule.
Full case study (PDF)
Complete methodology, figures, and engagement detail. Client-identifying information generalized where required.
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