The strong performance changed the trajectory of the year for the Austin, Texas-based company, which had seen sales and profits decline in the first two quarters. Photo courtesy of Tesla

Tesla’s third-quarter net income rose 17.3 percent compared with a year ago on stronger electric vehicle sales, and an optimistic CEO Elon Musk predicted 20 percent to 30 percent sales growth next year.

The strong performance changed the trajectory of the year for the Austin, Texas-based company, which had seen sales and profits decline in the first two quarters.

In its letter to investors, Tesla predicted slight growth in vehicle deliveries this year, better than the 1.8 million delivered worldwide in 2023.

Tesla said Wednesday that it made $2.17 billion from July through September, more than the $1.85 billion profit it posted in the same period of 2023.

The earnings came despite price cuts and low-interest financing that helped boost sales of the company’s aging vehicle lineup during the quarter. It was Tesla’s first year-over-year quarterly profit increase of 2024, a year plagued by falling sales and prices.

Revenue in the quarter rose 7.8 percent to $25.18 billion, falling short of Wall Street analysts who estimated it at $25.47 billion, according to FactSet. Tesla made an adjusted 72 cents per share, soundly beating analyst expectations of 59 cents.

Shares in Tesla Inc. soared nearly 12 percent in trading after Wednesday’s closing bell.

On a conference call with analysts, Musk said the profit increase came despite a challenging environment for auto sales with still-high loan interest rates. “I think if you look at EV companies worldwide, to the best of my knowledge, no EV company is even profitable,” he said.

Musk qualified his prediction that Tesla would post 2025 vehicle sales growth of 20 percent to 30 percent by saying it could be changed by “negative external events.”

Earlier this month Tesla said it sold 462,890 vehicles from July through September, up 6.4 percent from a year ago. The sales numbers were better than analysts had expected.

The letter said that Tesla is on track to start production of new vehicles, including more affordable models, in the first half of next year, something investors had been looking for. The new vehicles will use parts from its current models and will be made on the same assembly lines as Tesla’s current model lineup, the letter said.

The new vehicles were not identified and the price was nebulous. Musk has said in the past the company is working on a car that will cost about $25,000, but said Wednesday that a new affordable vehicle would cost under $30,000 including government tax incentives.

Earlier this month, the company showed off a purpose-built two-seat robotaxi called “Cybercab” at a glitzy event at a Hollywood movie studio. Musk said it would be in production before 2027 and cost around $25,000.

By using parts from existing models and the current manufacturing system, Tesla won’t reach cost reductions that it previously expected using a new manufacturing setup.

Tesla said it reduced the cost of goods per vehicle to its lowest level yet, about $35,100.

The company’s widely watched gross profit margin, the percentage of revenue it gets to keep after expenses, rose to 19.8 percent, the highest in a year, but still smaller than the peak of 29.1 percent in the first quarter of 2022.

During the quarter, Tesla’s revenue from regulatory credits purchased by other automakers who can’t meet government emissions targets hit $739 million, the second highest quarter in company history.

Musk said Tesla's “Full Self-Driving” system is improving and would drive more safely than humans in the second quarter of next year. Despite the name, Teslas using “Full Self-Driving” cannot drive themselves, and human drivers must be ready to intervene at all times.

The company, he said, is offering an autonomous ride-hailing service to employees in the San Francisco Bay Area, but it currently has human safety drivers. It expects to start a robotaxi service for the public in California and Texas next year, he said.

Musk also conceded that it may not be possible to reach autonomous driving safety levels with older editions of “Full Self-Driving” hardware. If it can't do that, Tesla will upgrade computers in the older cars for free, he said.

The self-driving claims come just five days after U.S. safety regulators opened an investigation into the system's cameras to see in low-visibility conditions such as sun glare, fog and airborne dust. The probe raised doubts about whether the system will be ready to drive on its own next year.

The National Highway Traffic Safety Administration said in documents posted Friday that it opened the probe of 2.4 million Teslas after the company reported four crashes in low visibility conditions. In one, a woman who stopped to help after a crash on an Arizona freeway was struck and killed by a Tesla.

Investigators will look into the ability of “Full Self-Driving” to “detect and respond appropriately to reduced roadway visibility conditions."

Edward Jones analyst Jeff Windau said the earnings report and conference call showed that Tesla is making money on software, a business with high profit margins.

Still, he has a “hold” rating on the stock as the company moves toward robotics and autonomous vehicles. “They’ve got a lot of challenging goals out there,” he said.

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3 strategies to strengthen the Gulf Coast as a global energy hub

The View from HETI

The Texas-Louisiana Gulf Coast is the backbone of America’s energy and chemical economy. Texas produces roughly 43% of U.S. crude oil and 28% of natural gas, while Texas and Louisiana together account for about half of the nation’s refining capacity, processing 9.3 million barrels of crude per day across 50 refineries. The region also produces approximately 80% of the nation’s primary petrochemicals and ships more than $117 billion in chemical products annually from Texas alone.

This unmatched concentration of refining, petrochemical manufacturing, pipelines, ports, and technical talent makes the Gulf Coast one of the most critical energy hubs in the world. But maintaining that leadership in a rapidly evolving global market will require intentional collaboration, faster technology commercialization, and strengthened supply chain resilience.

In fall 2025, the Greater Houston Partnership’s Houston Energy Transition Initiative (HETI) convened national laboratories, Gulf Coast universities, and industry leaders to examine how to reinforce the region’s long-term competitiveness. Participants included Argonne, Oak Ridge, Lawrence Berkeley, the National Energy Technology Laboratory (NETL), and the National Laboratory of the Rockies, alongside Gulf Coast academic institutions and energy and chemical companies. Here are the key findings and takeaways from the workshop.

1. Supply Chain Resilience Requires Structured Industry–Lab Collaboration

Resilience—diversity of supply, operational flexibility, and rapid recovery—was a recurring theme. Recent disruptions exposed vulnerabilities in tightly interconnected energy and manufacturing systems.

National laboratories provide capabilities that complement Gulf Coast industrial scale, particularly at early and mid technology readiness levels (TRLs 1–7), before full commercial deployment. Examples include:

  • Advanced manufacturing and AI-enabled validation of critical components (Oak Ridge).
  • Materials scale-up and techno-economic modeling to move from lab discovery to industrial relevance (Argonne).
  • Pilot-scale testing for severe-service alloys, chemical conversion, and process innovation (NETL).
  • Integrated energy systems modeling to assess grid resilience and system disruptions (National Laboratory of the Rockies).

Recommendation: Organize targeted Gulf Coast industry missions to national laboratories focused on critical supply chains—power equipment, high-heat industrial processes, novel catalysts, refining, and grid infrastructure—to identify joint development opportunities and reduce time to commercialization.

2. Modeling, AI, and Open-Access Platforms Can Bridge the Technology Gap

A persistent barrier to innovation is the gap between scientific discovery, applied development, and commercial deployment. Universities often operate at TRLs 1–3, national labs at 1–7, and industry at 7–9. Bridging these silos requires shared modeling tools, high-performance computing, and structured feedback loops.

National labs maintain open-access platforms capable of:

  • Simulating grid expansion, investment, and dispatch decisions.
  • Modeling cradle-to-gate industrial material flows.
  • Optimizing complex energy and chemical systems.
  • De-risking carbon capture, critical mineral recovery, and advanced manufacturing integration.

Recommendation: HETI should convene structured training and feedback sessions on these public modeling platforms—ensuring Gulf Coast industry can apply, improve, and help guide further development of tools critical to regional competitiveness. Federal initiatives such as the Genesis Mission, focused on AI-accelerated scientific discovery, further expand opportunities for Gulf Coast participation.

3. Time to Commercialization Is the Ultimate Competitive Metric

The lithium-ion battery is a cautionary example: while pioneered in U.S. labs, large-scale manufacturing leadership shifted overseas. Without strategic intervention, U.S. firms are projected to capture less than 30% of domestic lithium battery cell value by 2030.

Successful DOE-backed consortium models show that mission-aligned, multi-partner collaboration reduces development timelines and strengthens domestic manufacturing know-how. However, public–private partnership mechanisms such as CRADAs and Strategic Partnership Projects can be time-intensive.

Recommendation: The Gulf Coast should actively engage DOE and national laboratories to streamline public–private partnership pathways, improve intellectual property clarity, and expand industry access to laboratory infrastructure.

The Path Forward: A Gulf Coast Consortium Model
The workshop’s central conclusion was clear: the Gulf Coast should formalize collaboration through a regional industry–academia–laboratory consortium.

Such a model could:

  • Co-locate national lab researchers within the region.
  • Share modeling data and analytical capabilities.
  • Establish open-access pilot facilities that complement lab infrastructure.
  • Harmonize IP frameworks to accelerate licensing and deployment.

With its dense industrial ecosystem, technical workforce, and decision-making concentration, the Gulf Coast is uniquely positioned to serve as a national demonstration hub for advanced energy and chemical manufacturing.

If industry, universities, and national laboratories align around a shared regional strategy, the Gulf Coast can:

  • Accelerate commercialization timelines.
  • Strengthen critical supply chains.
  • Unleash a world-class technical workforce.
  • Reinforce U.S. leadership in strategic energy and chemical sectors.

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This article originally appeared on the Greater Houston Partnership's Houston Energy Transition Initiative blog. A full report on the key learnings and recommendations from the workshop can be found here: https://bit.ly/4uEDEqk.

Houston cleantech company closes $12M seed round

fresh funding

Houston-based Helix Earth Technologies has closed a $12 million Seed 2 funding round to scale manufacturing of its energy-efficient commercial HVAC add-on technology.

Veriten, a Houston-based energy investment firm, led the round. Rua Ventures, Carnrite Ventures, Skywriter LLC and Textbook Ventures also participated.

Helix Earth—which was founded based on NASA technology, spun out of Rice University and has been incubated at Greentown Labs—is developing high-efficiency retrofit dehumidification systems that aim to reduce the energy consumption of commercial HVAC units. The company reports that its technology can lead to "healthier indoor air, lower energy bills, reduced building maintenance, and more comfortable spaces for building owners and occupants."

"Building owners are dealing with rising energy costs, uncontrolled humidity, and aging infrastructure with no viable, cost-effective path forward. We are in the field today solving these problems for commercial customers, and this capital puts us on an aggressive path to scale,” Rawand Rasheed, Helix Earth co-founder and CEO, said in a news release.

“The strength of this round reinforces our team's conviction that we can transform innovation-starved sectors with transformational solutions that deliver order-of-magnitude improvements to owners and operators, for both their bottom line and the environment,” Rasheed added.

Maynard Holt, Veriten’s founder and CEO, said that the investment firm is tripling its investment in Helix Earth.

"The team has built breakthrough technology with real applicability across multiple industries,” Holt said in the release. “Their first product will have an immediate and measurable impact on our energy system, and they are already pursuing adjacent innovations to help heavy industries operate more efficiently and with less waste. This is a well-rounded team with a proven track record of strong execution and disciplined capital management.”

Helix Earth also closed a $5.6 million seed funding round in 2024, led by Veriten.

Last year, the company secured a $1.2 million Small Business Innovation Research (SBIR) Phase II grant and won in the Smart Cities, Transportation & Sustainability contest at the 2025 SXSW Pitch Showcase. Rasheed was also named to the Forbes 30 Under 30 Energy and Green Tech list for 2025.

SLB and NVIDIA expand partnership to scale AI across energy sector

AI partnership

Houston-based energy technology company SLB has expanded its 18-year tech collaboration with chipmaker NVIDIA to include the development of an “AI factory for energy.”

Through their partnership, SLB and NVIDIA will create AI infrastructure and models built around SLB’s existing digital platforms to help energy companies scale AI for data and operations.

In addition to the development of the “AI factory,” SLB will:

  • Provide modular design services to enhance NVIDIA’s blueprint for building, launching and operating gigawatt-scale AI data centers. In this case, modular design involves manufacturing data center components off-site.
  • Use NVIDIA’s AI infrastructure to improve the processing of large datasets and AI models across SLB’s digital platforms.

Energy companies generate vast amounts of operational data, which can slow down and silo decision-making, SLB says. By combining NVIDIA’s Omniverse libraries and its Nemotron open models with SLB’s digital and AI platforms, the companies aim to more rapidly transform data into actionable insights.

Omniverse libraries are sets of prebuilt 3D elements, such as objects, surfaces and interactive features, that make it easier to construct detailed virtual spaces without having to design everything manually. They’re commonly used for building immersive environments, digital replicas of real-world systems and simulation scenarios.

Nemotron open models are AI models that are freely available to download and modify. Instead of relying on a hosted service, you can run them on your own infrastructure and tailor them to fit specific needs.

Vladimir Troy, vice president of AI infrastructure at NVIDIA, says the energy sector is at the forefront of AI driving a “new industrial revolution.”

“The winners in AI will be companies with the best data, the deepest domain expertise, and the ability to scale,” Demos Pafitis, SLB’s chief technology officer, added. “By collaborating with NVIDIA to advance modular data center construction and harness our domain expertise and digital platforms, we’re enabling the energy industry to deploy AI at scale and transform operational data into smarter decisions.”