Now Reading: Siguler Guff raises $500 mn fund for India mid-market bets
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Siguler Guff raises $500 mn fund for India mid-market bets
US-based investment firm Siguler Guff has raised a $500 million fund to target mid-market, founder- and family-owned businesses in India. The fund, named Global Emerging Markets Growth Opportunities Fund II (GEMGO II), more than doubles the $238 million the firm deployed in India through its previous global emerging markets vintage.
The fund has already invested about $200 million in four companies: food service operator Trimex Foods, IPL cricket team Rajasthan Royals, AI consulting firm Valliance.ai, and domestic formulations player La Renon. Partner Shaun Khubchandani said the firm typically makes investments of about $50 million, with the ability to do larger deals of $75-100 million through co-investments.
Siguler Guff will focus on consumer, healthcare, financial services and technology, targeting companies that benefit from domestic consumption or serve global demand. The firm also sees opportunities in quick commerce, direct-to-consumer brands, and hospital roll-ups, with an average investment size of $50 million as its sweet spot.
Indian Opinion Analysis
This fund close signals continued foreign investor appetite for India's mid-market, a segment often overlooked by large private equity firms chasing billion-dollar deals. Mid-market companies, typically with revenues between Rs 100 crore and Rs 1,000 crore, face a funding gap because they are too small for large funds but too large for venture capital. Siguler Guff's strategy of professionalising family-run businesses, by installing CFOs, ERPs and governance frameworks, addresses a key barrier that prevents many Indian promoters from scaling. The $500 million corpus, if fully deployed at $50 million per deal, would back about 10 companies. Investors will watch whether the India-for-the-world manufacturing thesis yields export-oriented deals in sectors such as pharma and specialty chemicals.
Source: livemint.com
This story was synthesised by AI from the source linked above. Methodology and corrections.
