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Bloom Energy Stock Surges On S&P 500, AI Data Center Demand

ELLIS HOBBS•UPDATED SEP. 25, 2026, 4:48 PM ET
Reviewed by Matt Monacoand Fact-checked by Bryce Tuohey

Bloom Energy Corporation stocks have been trading up by 8.46 percent amid positive sentiment surrounding its clean-energy technology outlook.

Key Takeaways Traders Need To Know

  • S&P Dow Jones Indices will add Bloom Energy (BE) to the S&P 500 on 2026/09/21, a shift that often triggers forced buying from index funds and ETFs.
  • UBS, Mizuho, and Clear Street all raised price targets on BE, now ranging from $325 to $351, backing S&P 500 inclusion and strong order momentum.
  • Bloom Energy says its 800V DC-native fuel cells can cut non-compute CAPEX for a 1 GW AI data center by 27% (about $3.6B) and five-year costs by 9%.
  • RBC and BMO point to multi‑gigawatt data‑center projects using Bloom Energy systems, reinforcing the company’s growing role in power-hungry digital infrastructure.
  • Recent recognition from Newsweek and a national ESPN campaign give BE a reputational tailwind that complements its technical and financial story.

Candlestick Chart

Live Update At 16:48:06 EDT: On Friday, September 25, 2026 Bloom Energy Corporation stock [NYSE: BE] is trending up by 8.46%! Discover the key drivers behind this movement as well as our expert analysis in the detailed breakdown below.

Quick Financial Overview

Bloom Energy is trading like a momentum monster. Over the last few weeks, BE has ripped from the low $200s to close near $288.70 on 2026/09/25, a powerful trend with higher highs and higher lows across the daily chart. That kind of move tells traders capital is aggressively rotating into the name.

Intraday action backs it up. On the latest session, BE opened around $269.91, flushed quickly, then buyers stepped in hard and pushed the stock up through $290 before a modest fade into the close. The 5‑minute candles show steady dip-buying all day, not a blow‑off spike, which often signals real accumulation instead of pure day‑trader froth.

More Breaking News

Fundamentally, Bloom Energy’s Q2 2026 numbers give that chart some backbone. The company reported about $1.065B in quarterly revenue, with gross profit of roughly $355.6M and operating income above $180M. For the trailing period, revenue is about $2.02B, growing more than 30% annually over three and five years. BE also shows positive EBIT and EBITDA, while maintaining a current ratio above 4, which means plenty of liquidity to keep scaling. For traders, that blend of breakout price action and real top‑line growth is exactly the kind of backdrop that can sustain volatility and multi‑day moves.

Why Traders Are Watching Bloom Energy Right Now

Bloom Energy is in the middle of a powerful narrative: clean power, AI data centers, and now S&P 500 status. For momentum traders, that combination is like gasoline on a fire.

The S&P 500 inclusion on 2026/09/21 is the immediate catalyst. When BE joins the index, funds that track the S&P 500 are typically forced to buy, no matter the price. That structural demand is a key reason BE spiked sharply in premarket trading and stacked a 7.4% move with another 6% gain the next session. The tape is already showing what index flows can do.

Analysts are leaning into this. UBS lifted its BE target to $325, Clear Street went to $330, and Mizuho pushed to $351 while keeping positive ratings. Across these notes, the themes are consistent: S&P 500 inclusion, rising order momentum, better long‑term margin visibility, and growing demand. When multiple firms all bump targets at once, it often feeds the “upgrade chase” style of trading.

Under the hood, Bloom Energy is pushing hard into AI infrastructure. The company’s 800V DC‑native solid oxide fuel cells are pitched as a direct power source for next‑generation AI data centers, skipping some of the traditional AC gear that clogs timelines and budgets. Bloom Energy claims a 1 GW AI facility could slash non‑compute CAPEX by 27% — about $3.6B — and trim five‑year total costs by 9%. Even if traders haircut those numbers, the direction is what matters: BE is trying to define the power stack for AI, not just sell boxes.

RBC highlights that Bloom Energy fuel cells are set to power Aligned Data Centers’ 2 GW Project Phoenix in Pennsylvania, a live, large‑scale proof point. BMO points to a broad data‑center customer base tied to a $6.4B Brookfield financing package involving Meta, American Tower, Equinix, and CoreWeave under a partnership using Bloom’s solutions, plus progress on Oracle’s 2.45 GW permitting in New Mexico. Put together, BE is not just talking about AI demand — it is getting written into multi‑gigawatt plans.

Conclusion

For active traders, Bloom Energy sits at the crossroads of story and numbers. On the story side, BE is riding the AI data‑center wave with a clear pitch: on‑site, DC-native fuel cells that promise big savings and less reliance on stressed power grids. The company is also stepping onto the S&P 500 stage, which typically brings deeper liquidity, more media coverage, and relentless ETF flows.

On the numbers side, Bloom Energy has put up over $1B in quarterly revenue, posted positive operating income, and kept balance‑sheet liquidity strong. Analysts from UBS, Mizuho, Clear Street, RBC, and BMO are all weighing in on the same side, lifting price targets and citing order momentum, pricing power, and a broadening customer list. For short‑term traders, that often translates into crowded trades, sharp squeezes, and violent pullbacks.

There are still real risks — including permitting timelines and rich valuation metrics — so this is not a “set it and forget it” situation. It is a stock to stalk with a plan. As Tim Sykes likes to hammer home, “Trade like a sniper, not a machine gun. Wait for the clean setups, and always, always cut losses quickly.” As millionaire penny stock trader and teacher Tim Sykes says, “Consistency is key in trading; don’t let emotions dictate your trades.”. Bloom Energy is delivering the volatility; it is on traders to manage the risk. This article is for educational and research purposes only and is not investment advice.

This is stock news, not investment advice. Timothy Sykes News delivers real-time stock market news focused on key catalysts driving short-term price movements. Our content is tailored for active traders and investors seeking to capitalize on rapid price fluctuations, particularly in volatile sectors like penny stocks. Readers come to us for detailed coverage on earnings reports, mergers, FDA approvals, new contracts, and unusual trading volumes that can trigger significant short-term price action. Some users utilize our news to explain sudden stock movements, while others rely on it for diligent research into potential investment opportunities.

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The available research on day trading suggests that most active traders lose money. Fees and overtrading are major contributors to these losses.

A 2000 study called “Trading is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors” evaluated 66,465 U.S. households that held stocks from 1991 to 1996. The households that traded most averaged an 11.4% annual return during a period where the overall market gained 17.9%. These lower returns were attributed to overconfidence.

A 2014 paper (revised 2019) titled “Learning Fast or Slow?” analyzed the complete transaction history of the Taiwan Stock Exchange between 1992 and 2006. It looked at the ongoing performance of day traders in this sample, and found that 97% of day traders can expect to lose money from trading, and more than 90% of all day trading volume can be traced to investors who predictably lose money. Additionally, it tied the behavior of gamblers and drivers who get more speeding tickets to overtrading, and cited studies showing that legalized gambling has an inverse effect on trading volume.

A 2019 research study (revised 2020) called “Day Trading for a Living?” observed 19,646 Brazilian futures contract traders who started day trading from 2013 to 2015, and recorded two years of their trading activity. The study authors found that 97% of traders with more than 300 days actively trading lost money, and only 1.1% earned more than the Brazilian minimum wage ($16 USD per day). They hypothesized that the greater returns shown in previous studies did not differentiate between frequent day traders and those who traded rarely, and that more frequent trading activity decreases the chance of profitability.

These studies show the wide variance of the available data on day trading profitability. One thing that seems clear from the research is that most day traders lose money .

Millionaire Media 66 W Flagler St. Ste. 900 Miami, FL 33130 United States (888) 878-3621 This is for information purposes only as Millionaire Media LLC nor Timothy Sykes is registered as a securities broker-dealer or an investment adviser. No information herein is intended as securities brokerage, investment, tax, accounting or legal advice, as an offer or solicitation of an offer to sell or buy, or as an endorsement, recommendation or sponsorship of any company, security or fund. Millionaire Media LLC and Timothy Sykes cannot and does not assess, verify or guarantee the adequacy, accuracy or completeness of any information, the suitability or profitability of any particular investment, or the potential value of any investment or informational source. The reader bears responsibility for his/her own investment research and decisions, should seek the advice of a qualified securities professional before making any investment, and investigate and fully understand any and all risks before investing. Millionaire Media LLC and Timothy Sykes in no way warrants the solvency, financial condition, or investment advisability of any of the securities mentioned in communications or websites. In addition, Millionaire Media LLC and Timothy Sykes accepts no liability whatsoever for any direct or consequential loss arising from any use of this information. This information is not intended to be used as the sole basis of any investment decision, nor should it be construed as advice designed to meet the investment needs of any particular investor. Past performance is not necessarily indicative of future returns.

Citations for Disclaimer

Barber, Brad M. and Odean, Terrance, Trading is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors. Available at SSRN: “Day Trading for a Living?”

Barber, Brad M. and Lee, Yi-Tsung and Liu, Yu-Jane and Odean, Terrance and Zhang, Ke, Learning Fast or Slow? (May 28, 2019). Forthcoming: Review of Asset Pricing Studies, Available at SSRN: “https://ssrn.com/abstract=2535636”

Chague, Fernando and De-Losso, Rodrigo and Giovannetti, Bruno, Day Trading for a Living? (June 11, 2020). Available at SSRN: “https://ssrn.com/abstract=3423101”