Fermi Inc. (FRMI) is an Amarillo, Texas-based developer of next-generation private electric grids and power campuses built to serve energy-intensive artificial intelligence (AI) computing. The company, founded in 2025 by former U.S. Energy Secretary Rick Perry and Toby Neugebauer, is still pre-revenue: it reported effectively zero revenue over the trailing twelve months and a net loss of roughly $738 million. Its flagship initiative, Project Matador, aims to build a behind-the-meter power campus at gigawatt scale to supply hyperscale data centers. The question investors are asking is whether shares, now near all-time lows, can climb back toward a $11 stock price target.
This average analyst price target is calculated from six recent targets that can be attributed to named firms: UBS at $6 (Hold), Cantor Fitzgerald at $8 (Buy), Evercore ISI at $11 (In Line), Mizuho at $11 (Buy, cut from $27 in July 2026), Macquarie at $15 (lowered from $18), and Stifel Nicolaus at $17 (Buy, cut from $29). The simple average is about $11.33, which rounds to a central target of $11, with a low-to-high range of $6 to $17.
That range is unusually wide and reflects genuine disagreement. Bulls emphasize the scarcity value of Project Matador and the long-term AI power thesis. Skeptics point to execution risk and the absence of revenue. The trend in revisions has been overwhelmingly downward: Evercore ISI downgraded the stock to In Line from Outperform in May 2026, cutting its target to $11 from $20, and Mizuho and Stifel each slashed their targets sharply. Earlier targets as high as $35 to $37 have effectively been abandoned, which is why aggregate consensus figures that still include them run higher than the recent, individual targets used here.
As of the October 9, 2026 close, FRMI traded at $3.43, down about 88% over the past year and within pennies of its 52-week low of $3.42 (the 52-week high was $32.39). Reaching $11 would require a gain of roughly 221%, which must be described as a very large move, not a modest drift.
The path is tied almost entirely to Project Matador converting development milestones into signed contracts and cash flow. The company has secured an operating agreement with NAES to run its Texas natural gas turbines and a first data center lease with TensorWave; media reports have also cited possible OpenAI interest in the campus. Any of these translating into long-duration, investment-grade-style tenant contracts would be the primary mechanism for a sustained repricing, given that the business has no current revenue to anchor valuation.
The core bull case rests on scarce, dedicated power capacity for AI workloads. Grid interconnection queues are long, and Fermi's behind-the-meter model promises redundant, gigawatt-scale electricity that hyperscalers increasingly need. Confirmed demand signals — the TensorWave lease and the NAES operating agreement — give the story tangible milestones, and additional large tenant signings would materially de-risk the pre-revenue profile. The shares also carry substantial short interest, which can amplify upside on positive headlines.
The obstacles are substantial. The company generates no revenue, reported a roughly $738 million trailing net loss, and holds only about $63 million in cash against roughly $576 million in debt. Execution risk is concentrated in a single asset, Project Matador, so delays in permitting, construction, or tenant signings weigh heavily. A governance dispute is also live: Toby Neugebauer filed a shareholder proposal in September 2026 seeking an independent review of potential transactions, adding uncertainty around management and strategy. Further capital raises would dilute existing holders, and the stock's extreme volatility makes any price forecast inherently uncertain.
Technically, FRMI sits at or near its post-IPO lows, with the $3.42 52-week low acting as the immediate floor and little established support below it. The 50-day moving average near $5.25 and the 200-day moving average near $6.90 both sit well above the current price, meaning the stock trades below both — a bearish long-term structure. Round-number levels at $5 and $6 (the low end of the analyst range) represent early resistance zones, with the $8 to $11 area forming a broader resistance band on any recovery.
Analyst price targets generally reflect a research horizon of around 12 months, though the actual horizon varies by firm and none of the recent reports specifies a precise date. Because the company is pre-revenue, the most important catalysts are operational rather than earnings-driven. Investors should watch for additional tenant lease signings, updates on Project Matador construction and funding, capital-raising announcements, and any resolution of the governance dispute. The next earnings date is scheduled for November 2026, which may provide clarity on cash burn and project milestones.
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Can FRMI reach $11? The target is plausible on paper but requires a roughly 221% gain from a near-all-time-low price, and it rests on a pre-revenue company converting AI power demand into signed, long-term contracts. The strongest support comes from tangible milestones — the TensorWave lease and NAES operating agreement — while the principal obstacles are a single-asset business model, negative cash flow, a widening governance dispute, and the possibility of further dilution. The wide $6-to-$17 analyst range underscores the uncertainty. Whether the stock approaches $11 will depend less on near-term technicals and more on whether Project Matador secures the large, durable tenant commitments that would justify a fundamentally higher valuation.
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A.I.dvisor tells us that FRMI and EQIX have been poorly correlated (+21% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that FRMI and EQIX's prices will move in lockstep.
| Ticker / NAME | Correlation To FRMI | 1D Price Change % | ||
|---|---|---|---|---|
| FRMI | 100% | -4.43% | ||
| EQIX - FRMI | 21% Poorly correlated | -1.04% |
| Ticker / NAME | Correlation To FRMI | 1D Price Change % |
|---|---|---|
| FRMI | 100% | -4.43% |
| Communications category (78 stocks) | 22% Poorly correlated | -1.51% |
| Specialty Telecommunications category (20 stocks) | 20% Poorly correlated | -1.44% |