Deep Fission, Inc. (NASDAQ: FISN) develops and plans to deploy underground SMRs aimed at supplying carbon-free power to utilities, data centers, and industrial users. The company remains in an early, pre-revenue phase, so this report will center on spending rates as it advances licensing and engineering work. With roughly 18.5 GW in reported LOIs and a goal of starting operations at its first commercial unit in Kansas in 2027, each update carries significant weight for a young firm whose valuation hinges on execution rather than current earnings.
Analysts do not expect material revenue in the quarter, which aligns with the pre-revenue profile. Consensus points to a net loss of approximately $0.51 per share, a modest improvement from the $0.56 per share loss in the second quarter of 2026. Full-year projections show a loss near $2.04 per share, narrowing to about $1.28 per share in 2027 as commercialization efforts scale.
Without a revenue figure to assess, attention will turn to R&D spending, general and administrative costs, total operating expenses, cash position, and runway. Updates on the Kansas timeline, regulatory licensing progress, and the LOI pipeline are likely to outweigh the headline loss number. The stock has shown high volatility since the June 2026 IPO, and last quarter’s results played a role in the recent share-price adjustment. I also checked this using Tickeron’s AI Screener to see how FISN compares with peers on key fundamentals.
Sentiment ahead of the report stays measured. Shares have fallen sharply from the $16.00 IPO price and now trade near $2.55 in early November 2026, well below a 52-week high close to $19.00. The Relative Strength Index recently hovered around 32, a zone often viewed as oversold. A securities law firm announced an investigation into the company in early November, adding to short-term uncertainty. Even so, the five analysts tracked by major providers hold an average “Strong Buy” rating and a 12-month price target near $18.60. The gap between that target and the current price highlights both long-term conviction and near-term execution concerns.
After the release, investors should watch for any refinements to the Kansas deployment schedule. Confirmation, delay, or adjustment of the 2027 target could influence the stock’s response. Cash management remains critical as well. With no meaningful revenue, the company depends on its balance sheet to fund R&D, licensing, and engineering. Tracking operating expenses, cash burn, and any comments on future funding needs will help gauge runway before additional capital may be required.
Finally, attention will stay on the demand pipeline. The 18.5 GW LOI figure is a headline metric, but the market will want to see progress toward binding agreements and evolving relationships with data-center and utility customers. Regulatory milestones with the U.S. Nuclear Regulatory Commission will also serve as important indicators of commercialization progress.
In preparing for reports like this one, I often turn to Tickeron’s AI Screener to quickly filter peers and surface relevant technical or fundamental signals. The platform lets me scan thousands of names with customizable criteria and has become a regular part of my workflow when evaluating pre-revenue companies such as FISN. It helps surface context without replacing the deeper fundamental review needed around earnings.
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Sergey Savastiouk, Ph.D. has a degree in Applied Mathematics from Moscow University and has extensive experience as an entrepreneur, investor, manager, and mathematician. His professional expertise is in applied mathematics, mathematical modeling, system and pattern analysis, and software and hardware system integration. He has served as the CEO of several hi-tech start-up companies and nonprofit organizations, which has given him proven capabilities in business strategy for high-tech start-up companies, market assessment, company formation, team building, product development, marketing, and sales. He has published numerous articles in journals and magazines on related fields. As a retail investor, he spent 15 years developing his proprietary trading and quantitative algorithms (now Tickeron’s A.I.), which brought him significant returns in trading the stock market. His current work and goal in founding Tickeron is to bring professional, sophisticated stock market analysis capabilities to retail investors via an easy-to-use interface.
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
Industry IndustrialMachinery