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Tesla (TSLA) releases Q4 2024 results: big miss on revenue and earnings - Related to fsd?, revenue, releases, earnings, big

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Tesla (TSLA) releases Q4 2024 results: big miss on revenue and earnings

Tesla (TSLA) releases Q4 2024 results: big miss on revenue and earnings

Tesla (TSLA) released its financial results and shareholders letter for the fourth quarter (Q4) and full-year 2024 after market close today.

We are updating this post with all the details from the financial results, shareholders’ letter, and the conference call later tonight. Refresh for the latest information.

As we reported in our Tesla Q3 2024 earnings preview yesterday, the Wall Street consensus for this quarter was $[website] billion in revenue and earnings of $[website] per share.

Now, did Tesla meet, beat, or miss the expectations?

Just after the market close today, Tesla released its financial results and confirmed that it did miss expectations with earnings of $[website] per share (non-GAAP) and it missed revenue expectations with $25,707 billion during the last quarter.

That’s significantly below expectations and triggered a 5% drop in Tesla’s share price after the results were released. The stock has since recovered.

Tesla’s gross profits were down 6% year-over-year in Q4. That’s despite selling more regulatory credits.

For the full-year 2024, Tesla’s earnings per share is down 22% despite many seeing Tesla as a “growth stock”:

The silver lining is that while growth has gone away, Tesla remains profitable and has grown its cash stack to $[website] billion.

We will be posting our follow-up posts here about the earnings and conference call to expand on the most crucial points (refresh the page to see the most recent posts):

Here’s Tesla’s Q4 2024 shareholder presentation in full:

Here’s Tesla’s conference call for the Q4 2024 results:

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Which automakers have Tesla Supercharger access?

Which automakers have Tesla Supercharger access?

Tesla's opened its Supercharger network to non-Teslas.

Ford and Rivian were the first non-Teslas to plug in.

Access takes an automaker-provided adapter or Tesla Magic Dock.

In most cases there are software components and it's more than just an adapter.

By the end of 2024, nearly ever major EV brand selling cars in the [website] had signed on to offer Tesla Supercharger access, and eventually adopt the automaker's NACS port for future EVs. But the rollout has proceeded at different speeds for each brand.

Owners of EVs from most non-Tesla brands must use an adapter to connect with Supercharger stations until the widespread rollout of new cars with NACS ports, a process that in the recent past started with the 2025 Hyundai Ioniq 5 and is aided by the formalization of NACS as a true standard by the SAE in late 2023.

Most automakers are also pushing software updates that allow their EVs to properly interface with Supercharger stations for plug-and-charge operation, as well as updates that allow Supercharger stations to appear on in-vehicle route planning and payment apps. With these updates in place, Tesla's Magic Dock adapter at many Supercharger stations may work in lieu of a separate automaker-provided adapter.

As with the original announcements of the switch to the Tesla charge port, Ford led the way in providing adapters to let consumers fast-charge at Supercharger stations. That started in February 2024, with other automakers following later in the year and a few now confirmed for the first half of 2025. Here's where things stand now.

Automakers that have Supercharger access supported:

Automakers with Supercharger access "coming soon," :

As Green Car Reports has pointed out before, Tesla's V4 hardware will likely be able to handle electric vehicles that charge at 800 volts at the full rate. But Tesla's V3 hardware—the majority of North American hardware available on the Supercharger network at this time—the limit is 400 volts, or maybe a little bit higher.

That creates a dilemma for automakers already selling vehicles with 800-volt charging, as those cars will charge slower at Tesla V3 Supercharger stations than they would at the most powerful CCS stations. But the more widespread deployment of V4 Superchargers will help solve that, along with the buildout of the Ionna fast-charging network backed by eight automakers that's expected to include both CCS and NACS connectors.

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Former reality TV contestant Sean Duffy. Photo by Gage Skidmore.

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Market Impact Analysis

Market Growth Trend

2018201920202021202220232024
8.3%10.0%10.5%11.6%12.3%12.7%12.8%
8.3%10.0%10.5%11.6%12.3%12.7%12.8% 2018201920202021202220232024

Quarterly Growth Rate

Q1 2024 Q2 2024 Q3 2024 Q4 2024
10.9% 11.7% 12.4% 12.8%
10.9% Q1 11.7% Q2 12.4% Q3 12.8% Q4

Market Segments and Growth Drivers

Segment Market Share Growth Rate
Connected Cars35%14.2%
Autonomous Driving22%18.5%
EV Technology28%21.9%
Telematics10%9.7%
Other Automotive Tech5%6.3%
Connected Cars35.0%Autonomous Driving22.0%EV Technology28.0%Telematics10.0%Other Automotive Tech5.0%

Technology Maturity Curve

Different technologies within the ecosystem are at varying stages of maturity:

Innovation Trigger Peak of Inflated Expectations Trough of Disillusionment Slope of Enlightenment Plateau of Productivity AI/ML Blockchain VR/AR Cloud Mobile

Competitive Landscape Analysis

Company Market Share
Tesla16.9%
Waymo12.3%
NVIDIA DRIVE10.7%
Bosch9.5%
Continental7.8%

Future Outlook and Predictions

The Tesla Skeptical Tsla landscape is evolving rapidly, driven by technological advancements, changing threat vectors, and shifting business requirements. Based on current trends and expert analyses, we can anticipate several significant developments across different time horizons:

Year-by-Year Technology Evolution

Based on current trajectory and expert analyses, we can project the following development timeline:

2024Early adopters begin implementing specialized solutions with measurable results
2025Industry standards emerging to facilitate broader adoption and integration
2026Mainstream adoption begins as technical barriers are addressed
2027Integration with adjacent technologies creates new capabilities
2028Business models transform as capabilities mature
2029Technology becomes embedded in core infrastructure and processes
2030New paradigms emerge as the technology reaches full maturity

Technology Maturity Curve

Different technologies within the ecosystem are at varying stages of maturity, influencing adoption timelines and investment priorities:

Time / Development Stage Adoption / Maturity Innovation Early Adoption Growth Maturity Decline/Legacy Emerging Tech Current Focus Established Tech Mature Solutions (Interactive diagram available in full report)

Innovation Trigger

  • Generative AI for specialized domains
  • Blockchain for supply chain verification

Peak of Inflated Expectations

  • Digital twins for business processes
  • Quantum-resistant cryptography

Trough of Disillusionment

  • Consumer AR/VR applications
  • General-purpose blockchain

Slope of Enlightenment

  • AI-driven analytics
  • Edge computing

Plateau of Productivity

  • Cloud infrastructure
  • Mobile applications

Technology Evolution Timeline

1-2 Years
  • Technology adoption accelerating across industries
  • digital transformation initiatives becoming mainstream
3-5 Years
  • Significant transformation of business processes through advanced technologies
  • new digital business models emerging
5+ Years
  • Fundamental shifts in how technology integrates with business and society
  • emergence of new technology paradigms

Expert Perspectives

Leading experts in the automotive tech sector provide diverse perspectives on how the landscape will evolve over the coming years:

"Technology transformation will continue to accelerate, creating both challenges and opportunities."

— Industry Expert

"Organizations must balance innovation with practical implementation to achieve meaningful results."

— Technology Analyst

"The most successful adopters will focus on business outcomes rather than technology for its own sake."

— Research Director

Areas of Expert Consensus

  • Acceleration of Innovation: The pace of technological evolution will continue to increase
  • Practical Integration: Focus will shift from proof-of-concept to operational deployment
  • Human-Technology Partnership: Most effective implementations will optimize human-machine collaboration
  • Regulatory Influence: Regulatory frameworks will increasingly shape technology development

Short-Term Outlook (1-2 Years)

In the immediate future, organizations will focus on implementing and optimizing currently available technologies to address pressing automotive tech challenges:

  • Technology adoption accelerating across industries
  • digital transformation initiatives becoming mainstream

These developments will be characterized by incremental improvements to existing frameworks rather than revolutionary changes, with emphasis on practical deployment and measurable outcomes.

Mid-Term Outlook (3-5 Years)

As technologies mature and organizations adapt, more substantial transformations will emerge in how security is approached and implemented:

  • Significant transformation of business processes through advanced technologies
  • new digital business models emerging

This period will see significant changes in security architecture and operational models, with increasing automation and integration between previously siloed security functions. Organizations will shift from reactive to proactive security postures.

Long-Term Outlook (5+ Years)

Looking further ahead, more fundamental shifts will reshape how cybersecurity is conceptualized and implemented across digital ecosystems:

  • Fundamental shifts in how technology integrates with business and society
  • emergence of new technology paradigms

These long-term developments will likely require significant technical breakthroughs, new regulatory frameworks, and evolution in how organizations approach security as a fundamental business function rather than a technical discipline.

Key Risk Factors and Uncertainties

Several critical factors could significantly impact the trajectory of automotive tech evolution:

Regulatory approval delays
Battery technology limitations
Consumer trust issues

Organizations should monitor these factors closely and develop contingency strategies to mitigate potential negative impacts on technology implementation timelines.

Alternative Future Scenarios

The evolution of technology can follow different paths depending on various factors including regulatory developments, investment trends, technological breakthroughs, and market adoption. We analyze three potential scenarios:

Optimistic Scenario

Rapid adoption of advanced technologies with significant business impact

Key Drivers: Supportive regulatory environment, significant research breakthroughs, strong market incentives, and rapid user adoption.

Probability: 25-30%

Base Case Scenario

Measured implementation with incremental improvements

Key Drivers: Balanced regulatory approach, steady technological progress, and selective implementation based on clear ROI.

Probability: 50-60%

Conservative Scenario

Technical and organizational barriers limiting effective adoption

Key Drivers: Restrictive regulations, technical limitations, implementation challenges, and risk-averse organizational cultures.

Probability: 15-20%

Scenario Comparison Matrix

FactorOptimisticBase CaseConservative
Implementation TimelineAcceleratedSteadyDelayed
Market AdoptionWidespreadSelectiveLimited
Technology EvolutionRapidProgressiveIncremental
Regulatory EnvironmentSupportiveBalancedRestrictive
Business ImpactTransformativeSignificantModest

Transformational Impact

Technology becoming increasingly embedded in all aspects of business operations. This evolution will necessitate significant changes in organizational structures, talent development, and strategic planning processes.

The convergence of multiple technological trends—including artificial intelligence, quantum computing, and ubiquitous connectivity—will create both unprecedented security challenges and innovative defensive capabilities.

Implementation Challenges

Technical complexity and organizational readiness remain key challenges. Organizations will need to develop comprehensive change management strategies to successfully navigate these transitions.

Regulatory uncertainty, particularly around emerging technologies like AI in security applications, will require flexible security architectures that can adapt to evolving compliance requirements.

Key Innovations to Watch

Artificial intelligence, distributed systems, and automation technologies leading innovation. Organizations should monitor these developments closely to maintain competitive advantages and effective security postures.

Strategic investments in research partnerships, technology pilots, and talent development will position forward-thinking organizations to leverage these innovations early in their development cycle.

Technical Glossary

Key technical terms and definitions to help understand the technologies discussed in this article.

Understanding the following technical concepts is essential for grasping the full implications of the security threats and defensive measures discussed in this article. These definitions provide context for both technical and non-technical readers.

Filter by difficulty:

platform intermediate

algorithm Platforms provide standardized environments that reduce development complexity and enable ecosystem growth through shared functionality and integration capabilities.

interface intermediate

interface Well-designed interfaces abstract underlying complexity while providing clearly defined methods for interaction between different system components.

electric vehicle intermediate

platform