Ashika's new credit and PE funds post first closes, about $31.7M for credit vehicle
What's the deal? Ashika GroupDealroom has a profile for this one. Try Dealroom → reported first-close commitments for two new Category II alternative investment funds: approximately US$29.2M for its private-equity fund and about US$40.7M (roughly $31.7 million) for the Ashika Credit Opportunities Fund. Both vehicles remain below their base targets of US$67.9M and US$135.8M respectively.
What's the endgame? The private-equity fund plans 12 to 15 investments of US$6.79M-plus each, with a 10% to 20% reserve for follow-ons. Its thesis spans manufacturing — including electric vehicles, electronics, defence, and aerospace — and consumer sectors such as durable goods, fast-moving consumer goods, and logistics.
The credit fund: It targets gross returns of 16% to 18% and annual distributions of 8% to 10% over a three-to-five-year horizon. The fund has begun a 20% drawdown, warehoused a US$13.6M investment at a stated 19.5% internal rate of return, and plans to start deployment in Q3FY27.
The backers: Ashika itself anchored the private-equity fund with a US$13.6M commitment, part of the US$29.2M first close. The firm has also launched Ashika DNA, a Category III fund focused on healthcare and pharmaceuticals, and secured in-principle approval from the Securities and Exchange Board of India for mutual-fund operations.
What could go wrong? Both funds sit well short of their targets, and Ashika has disclosed no portfolio investments or deployment schedule for the private-equity vehicle. The test is whether it can attract further commitments and deploy capital.
The signal: Ashika's closes are modest beside larger platforms — Neo recently closed its second private-credit fund at US$842M, and EverstoneDealroom has a profile for this one. Try Dealroom →'s India PE fund reached a US$230.9M first close. But the move marks Ashika's expansion into alternative-asset management, in a market where private credit is drawing growing institutional interest.
Read more: multibagg.ai
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