Assessing the Value of Early-Stage PE Investments

 

Valuing venture or early-stage private equity investments can be tricky since they don’t typically have revenues or cash flow yet. As such, applying traditional valuation methodologies like considering discounted cash flow (DCF) may not be appropriate for new technologies and early-stage investments.

On this episode of E2B: Energy to Business, an Opportune podcast, Voice of B2B, Daniel Litwin talked with James Hanson, Managing Director with Opportune Partners LLC, an independent investment banking and financial advisory affiliate of Opportune LLP. They broke down strategies for maneuvering early-stage investments in young companies, specifically around private equity investments in the energy sector.

Hanson has over 30 years of commercial and investment banking experience. He focused on traditional investment banking for the first half of his career, such as commercial lending. In the last 15 years, he spent his time on fairness opinions, solvency opinions, and valuations. Over the past decade, he has often seen the early-stage investment valuation question come up a lot.

“As we think about early-stage and venture investing, it kind of revolves around two aspects,” Hanson says. “The first would be new technologies. The second is along the lines of project finance.”

As Hanson explains, valuing an early-stage investment or technology is difficult terrain to predict since they often rarely have good comparables and have yet to produce significant cash flow or revenue. Financially, one new technology can be very different from another, making comparisons difficult. So, which valuation methodologies are the most effective for these early-stage investments? According to Hanson, a pragmatic method for valuing these types of companies and/or technologies is the cost-based approach (“Cost Approach”).

“It [the cost-based approach] ends up becoming less of throwing numbers on a spreadsheet exercise and more of a due diligence exercise,” Hanson says. “So, what we’ll do is typically talk to the management teams, talk to the people who are working on the products, and dig in to try to see what work has been done, what work needs to be done, what the plan is, where did you think it was before you started, etc.? It’s a case-by-case basis.”

Listen to hear more on private equity investment valuations in the energy sector.

Follow us on social media for the latest updates in B2B!

Image

Latest

Oncology
From Denial to Access: Rethinking Oncology Care Through AI, Clinical Trials, and Patient-Centered Innovation
April 1, 2026

The rapid expansion of precision medicine, biologics, and targeted cancer therapies is transforming oncology—but it’s also overwhelming a system not built to keep pace. In the U.S., cancer drugs now account for some of the highest-cost treatments in healthcare, and with that has come a surge in prior authorization requirements and denials. Studies suggest physicians…

Read More
Firefly
Pursuing the Impossible: The New Space Race with Firefly Aerospace Co-Founder Eric Salwan
April 1, 2026

Many companies set out to do something hard. Firefly Aerospace set out to do the impossible. After 10 years and several existential moments, Firefly did what no private company ever had: in 2025, it successfully landed on the Moon. Before Firefly, only countries had ever landed on the Moon—and it took extraordinary national effort…

Read More
internship
Tale of Two Interns: What AI Is Really Doing to Entry-Level Work
March 30, 2026

The narrative around early-career work has become increasingly pessimistic, with headlines pointing to a shrinking pool of entry-level roles, fewer internship opportunities, and AI accelerating both trends. But beneath that narrative, a different tension is emerging—one that’s less about the disappearance of opportunity and more about how it’s being reshaped. Students are using AI…

Read More
AI data center
Power, Cooling, and Risk: What It Takes to Bring a 100MW AI Data Center Online
March 28, 2026

The industry knows how to build data centers. What it’s still figuring out is how to turn on AI factories at scale. With facilities now crossing 100 megawatts—far beyond the 5 to 10 megawatt norm of traditional builds—operators are no longer just validating equipment. They’re testing whether entire systems—power, cooling, controls, and the teams behind…

Read More