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Q2 2020 Private Markets Outlook

In Q2-2020, the US economy had its sharpest quarterly GDP decline ever with a historic 32.9% contraction on an annualized basis during the period, which is the worst figure since the US government began recordkeeping in 1947. This comes on top of the 5.0% decline during the first quarter of 2020, and represents a 9.5% decline YoY. The negative Q2-2020 development reflects the “stay-at-home” orders issued in March and April, which partially continued into May and June, and the overall economic downturn due to the coronavirus crisis.

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The Data Center Deal: What the Numbers Actually say About the AI Infrastructure Boom

Data Centers are commanding some of the highest valuations in private markets. But the headline returns hide a much more divided market.

CEPRES DealForge shows recent Co-location/Data Center deals at 20.60x median EV/EBITDA, while the upper 50% generated a 44.16% median IRR versus 11.58% for the lower 50%.

Download the report to see what separates the strongest deals, where sector averages mask downside, and what is actually driving returns — before your next investment decision.

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Venture Capital: Is the AI Boom Repeating the Dot-Com Cycle

Thirty years of North American technology venture data reveal a $480.5bn gap between reported portfolio valuations and realized cash.

Download the report to compare the AI and dot-com cycles across capital flows, defaults, loss rates, IRR and DPI—and see what the data suggests about how much of today’s AI-driven value could ultimately convert into distributions.

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Price and Limits of the EV Trade: A Deal-Level View of Growth, Risk, and Returns in Automotive Components

DealForge analysis of 112 automotive-component investments, including 18 tire and rubber deals, reveals a 23.73% versus 0.41% median gross IRR split — while 85% of net equity value creation came from revenue growth and margin expansion.

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Private credit: Spotlight on deals — the winners and losers & bounce back from the crisis

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Navigating Private Debt: A Deep Dive into Historical Risk and Returns

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