Q4 2025 Earnings Review: AI Leadership in Tech vs. Structural Headwinds in Energy
Tech and Energy Earnings Review Q4 2025: An in-depth study of Nvidia, Apple, Microsoft, and energy giants based on data-driven information to guide investors.
With the end of Q4 2025 earnings season, investors have a better idea of how the major technology and energy companies have fared in the face of enduring geopolitical tensions, higher interest rates, and structural changes as a result of artificial intelligence.
FactSet reports that earnings of the S&P 500 increased in high single digits on a year-over-year basis. Nonetheless, there was an increase in sector dispersion. Technology was at the forefront, using AI-driven revenues, and energy companies were adapting to fluctuations in prices and regulatory risks.
This review considers the true performance in terms of earnings of the major companies and weighs their strategic impact on long-term investors.
Financial Highlights (Q4 FY2025):
NVIDIA has reported another record quarter, where the hyperscaler market of advanced GPUs and AI systems is in demand. Backlog orders stretched to fiscal 2026, which strengthens the revenue on a long-term basis.
Investment-wise, Nvidia is the fundamental beneficiary of the worldwide adoption of AI, but the sensitivity of valuation has been elevated.
Financial Highlights:
The Q4 performance of Microsoft was an indication of a high use of cloud and artificial intelligence-based productivity tools by enterprises. Azure was one of the key growth drivers, and Copilot adoption increased ecosystem stickiness.
Microsoft continues to present to its investors a growth, cash-generating, and defensive stability profile.
Financial Highlights:
The hardware sales of Apple were still not evenly distributed in regions, especially in China. The increase in services and ecosystem monetization, however, counterbalances the cycle of devices.
The performance of Apple confirms the transition towards a recurring-revenue-based model of the business.
Financial Highlights:
Intel went on with its restructuring and manufacturing rearrangement. As much as the profitability is still under pressure, better utilization rates and demand for the AI-server are giving encouragement for stabilization.
Financial Highlights:
Reduced crude prices forced margins down, but restrained capital allocation and efficiency in the upstream saved shareholders' returns.
Financial Highlights:
The performance of Chevron pointed out the cost efficiency and strength of the balance sheet as a buffer to commodity cycles.
Financial Highlights:
The Shell gas and LNG trading business operations were integrated, which added stability even when the refining margin pressure was high.
Even though all Q4 2025 data is not available, the recent performance of PetroChina is characterized by:
The national energy administration in China is still focused on national energy security, which upholds the upstream investments and price stability of PetroChina. The volatility of earnings is mitigated by government-supported infrastructure expenditure and long-term contracts on supplies.
To the investors, PetroChina comes with a stability that is backed by policies but with little upside because of the controlled prices.
|
Company |
Revenue |
EPS |
YoY Trend |
Key Driver |
|
Nvidia |
$57.0B |
$1.30 |
Strong |
AI chips |
|
Microsoft |
$81.3B |
$4.14 (Non-GAAP) / $5.16 (GAAP) |
Strong |
Cloud |
|
Apple |
$143.8B |
$2.84 |
Strong |
iPhone & Services |
|
Intel |
$13.7B |
$0.15 (Non-GAAP) / –$0.12 (GAAP) |
Weak / Improving |
Restructuring |
|
ExxonMobil |
~$82.3B |
$1.53 (GAAP) / $1.71 (Adj.) |
Mixed |
Upstream |
|
Chevron |
$46.9B |
$1.52 |
Stable |
Efficiency |
|
Shell |
$64.1B |
~$1.12 (Adj.) |
Mixed |
LNG |
|
PetroChina |
~719B CNY (~$100B+ USD) |
~0.23 CNY (~$0.03 USD) |
Stable |
Policy Support |
The stocks of mega-cap technology have higher multiples than the historic average. There are several ways Nvidia and Microsoft are exposed to compression in case AI expenditure levels off.
Apple, Nvidia, and Intel are exposed to demand risk due to the export control and regulatory restrictions on China-related revenues.
Continued lowering of Brent prices to below $60 may strain the margins of Exxon, Chevron, and Shell companies, especially in downstream operations.
These are potential limiting factors to long-term profitability.
Preferred exposure: Nvidia, Microsoft, Apple.
Preferential exposure Shell, ExxonMobil (selective).
Q4 2025 profitability verified a growing performance disparity amid the technology and energy industries. AI-based infrastructure investment remains the driver of the earnings growth of the major tech-oriented companies, with energy companies being limited by pricing and regulation opportunities.
To the investors, there are three themes dominating:
Sustainable cash generation and structural growth exposure would continue to be at the center of the long-term returns as markets enter 2026.
Disclaimer:
This article is for informational and educational purposes only and does not constitute financial, investment, trading, or legal advice. Always do your own research or consult a licensed advisor before making trading decisions.
Technical analysis is the most widely used methodology in speculative markets, and ironically, the most widely misunderstood. Traders deploy TA across forex, CFDs, cryptocurrencies, stocks, shares, commodities, and indices believing they are gaining foresight into future price. What they are often gaining instead is pattern recognition bias dressed as analysis, and that bias is the single fastest route to capital destruction. Unlike investing, trading operates in leveraged environments, tight invalidation windows, and rapidly shifting market regimes — meaning TA was never designed to tell you what will happen, but to tell you what is happening, and more importantly, what must not happen for your idea to remain valid. The trader who confuses interpretation with prediction eventually loses everything, not because TA doesn’t work, but because they used it for a purpose it was never meant to serve.
Retail traders approach charts like historians searching for repetition. They believe if price bounced off a level before, that level now carries an invisible force field into the future. This creates the illusion of control and certainty. The market occasionally rewards this thinking, not because the analysis was correct, but because price simply revisited a liquidity pool that happened to align with a drawn level. The danger lies in the other 90% of the time, when price doesn’t respect those levels at all — it weaponizes them. Markets are engineered around liquidity consumption. Support and resistance are often not barriers, but magnets, used by institutions to trigger stop-loss waterfalls, fill large orders, and reverse price only after retail capital has been harvested. The chart looks predictable in hindsight, but unpredictable in execution, which is exactly how the trap is constructed.
Consider the Nasdaq 100 index — a favorite CFD instrument for global traders. If a trader in 2010 had studied the previous decade of price action, they would have found a clean market structure of swing lows repeatedly defending the 1800–2200 zone. A static-thinking technician would conclude that future pullbacks into this region must present long opportunities. Fast forward to 2020, when the index collapsed from 9700 to 6600 in under one month — ripping through 10 years of historic support. Traders who bought because “support always held in the past” would have endured a 30% loss in weeks on leveraged margin. Many would double down at 7200, believing in mean reversion, only to face further liquidation sweeps before price recovered. Then again in 2022, Nasdaq fell from 16,500 to 10,500, a 36% drop, once more ignoring long-term structure entirely. A trader using high CFD leverage without invalidation logic wouldn’t lose 30% or 50% — they would lose 100%, repeatedly re-entering the same collapsing zones until margin failure. The mistake wasn’t technical analysis — the mistake was believing that TA predicted the future instead of describing the present. TA should have told them: “If price closes below 6600, the long idea is invalid — regardless of history.” But history blinded them, and the market punished them for it.
Gold (XAU/USD) has been in a powerful macro uptrend over the past 2+ years, making it one of the most attractive CFD instruments for breakout and carry-flow traders. Between 2023 and 2025, price formed extremely visible resistance zones at 1930, 1985, 2050, 2075, 2145, and 2200. Retail traders treated each as a reversal fortress. Every indicator screamed overbought. RSI sat above 70 for weeks at a time. MACD was extended. Commentators called for correction after correction. What actually happened? Gold blew through each resistance zone, sometimes retraced briefly, and then continued trending 400–1200+ pips higher. Traders who sold at resistance without regime awareness experienced a phenomenon that destroys most technicians:
Overbought stayed overbought
Resistance became support after liquidity sweeps
Stop losses were triggered above highs before real reversals
Trend continuation made static levels irrelevant
In leveraged CFDs, this behavior would repeatedly liquidate traders selling resistance, even though the analysis looked logical. The market didn’t reverse because resistance was broken — it reversed after liquidity was consumed beyond resistance, once institutions were filled. The professor’s rule applies: “A level is only valid until price behavior invalidates the thesis.” Not a second longer.
Let’s take carry trading favorites like USD/TRY or USD/ZAR, often traded via CFD platforms for swap or trend exploitation. A trader may analyze USD/TRY from 2018 to 2020 and observe repeated price stabilization around 5.80–6.20. Support looks impenetrable. But by 2023 the pair traded above 25.00 — a 300%+ currency devaluation, completely disregarding previous structure. Even if swap was positive, any leveraged trader holding longs at historic support without invalidation rules would be obliterated, because the market shifted regime entirely when inflation dynamics, central bank credibility, and macro volatility altered capital flows. Technical analysis should have told them to adjust SL and trend bias using volatility measures like ATR or momentum filters like ADX, but static level reliance would have wiped them out long before swap accumulation mattered.
Crypto markets are TA-heavy ecosystems, meaning the trap density is even higher. Between 2021 and 2024, Bitcoin formed dozens of textbook patterns:
Double tops at 69,000
Head & Shoulders breakdowns
Bull flags
Falling wedges
Ascending triangles
Retail traders treated each as a future guarantee. What did the market do instead? It delivered fakeouts in both directions, sweeping lows to 15,500 in 2022 (-77%), then rallying back to 73,000 in 2024, trapping shorts and longs symmetrically. Traders who believed chart patterns guaranteed price direction were wiped out not by market movement, but by market sequencing — liquidity sweeps first, narrative logic last. The lesson here for all markets is that TA must evolve into a rules-based framework:
“If the pattern fails, the trade fails. If the market regime changes, the strategy changes. If liquidity is taken, wait for confirmation, not nostalgia.”
Professional traders never conclude with “price will go here.” They conclude with:
“If price breaks and closes above this range → continuation likely.”
“If price rejects after liquidity sweep → reversal scenario active.”
“If volatility expands beyond threshold → reduce size or widen risk logic.”
This keeps ego out of execution and capital alive long enough for probability to matter.
Most traders look for confirmation. Professionals look for invalidation first. A good rule:
A trend trade is dead when structure breaks against position and holds
A range trade is dead when expansion invalidates mean-reversion logic
A pattern trade is dead when the pattern fails before RR plays out
TA should protect capital before it attempts to grow it.
The following indicators are statistically useful when applied correctly:
20/50/200 Moving Averages → directional bias and regime structure
ADX → trend strength vs range regime
Above 25 = trend confirmation
Below 20 = avoid trend strategies
RSI → only reliable for reversals when market is not trending
MACD Histogram → momentum contraction/expansion behavior
ATR → SL/TP distance based on true volatility
Bollinger Band Squeeze → breakout loading detection, not breakout direction
Volume Profile → institutional value zones
VWAP → fair-value pricing bias
Relative Volume spikes → participation detection
A clean chart with 2–3 behavioral filters outperforms a noisy chart with 10 indicators every time.
Technical analysis is essential in every speculative market because it reveals participation, structure, momentum, and liquidity faster than any fundamental headline ever will. But the moment a trader believes TA gives them future knowledge, they detach from reality and attach to bias — and the market always punishes that transition. Nasdaq would have destroyed anyone relying on 20-year support lines. Gold would have destroyed anyone selling every resistance tap for 2 years. Bitcoin would have liquidated anyone trusting every textbook pattern without invalidation logic. TA is not the art of being right — it is the art of structuring decisions, defining risk, reading behavior, and executing with discipline in uncertainty.
The future of price is unknown. The risk on your trade should never be. That is the edge.
Disclaimer:
This article is for informational and educational purposes only and does not constitute financial, investment, trading, or legal advice. Always do your own research or consult a licensed advisor before making trading decisions.
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What Should Investors Watch in the Q4 2025 Tech and Energy Earnings Season?
As the fourth quarter of 2025 comes to an end, attention is shifting to the earnings season that will begin in January 2026. This period is expected to offer a clear picture of how US and European companies in the tech and energy sectors have performed. It will do so against a complex global backdrop.
Overall, earnings for the S&P 500 are projected to grow by around 8.3% compared to last year. As a result, focus is firmly on tech and energy. These sectors have faced pressure from geopolitical tensions, ongoing wars, the prevailing energy crisis, and soaring gold and silver prices.
According to FactSet data, the tech sector is expected to post strong earnings growth of up to 25.7%. This growth is expected to be mainly driven by continued progress in artificial intelligence, or AI. On the other hand, the energy sector is facing a more challenging period. It is expected to see a modest revenue decline of 1.9%, which might be due to fluctuating oil prices.
This analysis looks at earnings expectations in detail. Additionally, it highlights key companies and reviews analyst views. All insights are based on the latest available data as of late December 2025.
The tech sector is performing well and is probably the main growth driver. It is because the US technology giants are leading this growth momentum. Nvidia is majorly focused on AI infrastructure. It is expected to report EPS of $1.51, against the $0.89 last year. This strong performance by NVIDIA is a major factor behind the sector’s 17.9% growth in revenue.
Meanwhile, Microsoft and Apple are also expected to deliver solid results. Microsoft’s EPS is projected at $3.91, while Apple’s is anticipated at $2.66. These figures are supported by growing demand for cloud services and continued device sales. Similarly, Amazon and Alphabet, or Google, are projected to post strong numbers as well. Furthermore, across major companies, including Meta, AI-related capital spending is approaching $400 billion.
In Europe, tech momentum is also building. ASML, the Dutch leader in chip-making equipment, continues to benefit from strong global demand for semiconductors. Meanwhile, Germany’s SAP expects nice growth in software revenues. Spotify and Klarna are also in focus. According to Wedbush analyst Dan Ives, these stocks are undervalued opportunities today. Their growth could come from expansion in streaming and fintech. As Ives puts it, “It’s time for Europe to shine in tech amid frustration with valuations.”
Overall, tech earnings are expected to grow between 13% and 26%. This would mark the 10th straight quarter of earnings growth for the sector.
However, geopolitical risks is a major concern for tech sector. The US-China tech conflict has escalated. Export restrictions on advanced chips are speeding up global decoupling. According to BlackRock’s Geopolitical Risk Dashboard, it is ranked as a high-likelihood threat to the market. As a result, supply chains for companies such as Nvidia and ASML could face disruption.
Meanwhile, ongoing wars are also adding pressure. Russia’s invasion of Ukraine and rising tensions in the Middle East are increasing cybersecurity risks. BlackRock warns that large cyberattacks could hit critical infrastructure. It also points out that AI now allows up to 90% of espionage activities to be automated.
These conflicts are also adding into a broader energy crisis. Energy costs are rising. This directly affects data centres, which rely on large amounts of electricity to operate. J.P. Morgan analysts highlight this risk clearly. They state that AI could lead to a tenfold rise in power consumption over the next three years. As a result, profit margins across the tech sector could get affected.
Furthermore, the sharp rise in silver and gold prices is also adding another challenge. As of December 26, 2025, gold reached $4,561 per ounce, while silver climbed to $78. This reflects annual gains of 72% for gold and 154% for silver. These moves are being driven by rising debt concerns and ongoing geopolitical instability.
Recent US strikes in Nigeria and growing pressure on Venezuela have increased global conflict risks. As a result, investors are moving into safe-haven assets. This trend is often described as a “debasement trade.” For the tech sector, this shift signals possible inflation and higher borrowing costs. In turn, this could slow investment in AI.
Goldman Sachs highlights another important point. Valuation gaps between European and US markets are now at their widest levels. Because of this, the firm advises greater diversification. As Nicolas Simar, Co-Head of International Equity Income, explains, “Following the significant rebound in the tech space, we are back to the highest discount in terms of relative valuations for Europe versus the US.”
Turning to energy, the outlook is more moderate. In the US, NextEra Energy stands out. It is expected to deliver double-digit profit growth. EPS is forecast at $0.64, up 20.8% from last year. This growth is supported by renewable energy expansion and rising demand from data centres.
In contrast, ExxonMobil and Chevron face more pressure. Oil prices are averaging $59.34, down from $70.09 previously. As a result, sector-wide revenues could come under strain. In Europe, large energy firms are showing mixed performance. TotalEnergies and Shell report uneven results. At the same time, Siemens Energy posted record quarterly revenue above €10 billion. BP and European Energy also reported strong gains in EBITDA. For European Energy, EBITDA rose by €102.5 million to €114.5 million in the first nine months.
Geopolitical developments continue to shape the energy market. The war in Ukraine has led to drone attacks on energy infrastructure, according to BlackRock. This has increased volatility across the sector. Meanwhile, tensions in the Middle East threaten supply stability. The International Energy Agency notes that oil supply appears adequate at $60 to $65 per barrel. However, it also warns of fragility due to concentrated mineral refining.
The energy crisis is being intensified by AI-driven demand. Global investment in data centres reached $580 billion in 2025. J.P. Morgan highlights this trend clearly. It expects power demand growth in the United States to rise by five to seven times over the next three to five years. This shift supports renewable energy growth. At the same time, it puts added strain on existing power grids.
The rise in precious metals reflects these growing risks. Gold is increasingly used as a hedge against rising sovereign debt. In the US, debt is projected to reach 122% of GDP by 2034. Analyst Ed Yardeni warns that “Bond Vigilantes” could push yields higher as deficits expand. This could trigger stock market corrections and affect investment flows into energy.
The International Energy Agency stresses the need for diversification. It expects global LNG supply to rise by 50% by 2030. Around half of this increase is expected to come from the United States.
Looking ahead, the outlook improves in some areas. Analysts at Goldman Sachs expect global growth to re-accelerate in 2026. Europe is likely to benefit from increased fiscal stimulus. J.P. Morgan remains positive on AI. It sees AI as a major boost to productivity. As the firm notes, “The greatest potential boon for global productivity over the coming decade will come from AI, where U.S. companies now enjoy a commanding lead.”
However, risks remain. BlackRock continues to warn about ongoing challenges. Trade protectionism is one of the key risks that could weigh on markets going forward.
|
Sector |
Company (Region) |
Q4 2025 EPS Estimate |
YoY Growth |
Key Driver |
|
Tech |
Nvidia (US) |
$1.51 |
+70% |
AI chips |
|
Tech |
Microsoft (US) |
$3.91 |
+3% |
Cloud/AI |
|
Tech |
Apple (US) |
$2.66 |
+6% |
Devices |
|
Tech |
ASML (Europe) |
N/A |
+15-20% est. |
Semiconductors |
|
Tech |
SAP (Europe) |
N/A |
+10-15% est. |
Software |
|
Energy |
NextEra (US) |
$0.64 |
+21% |
Renewables |
|
Energy |
ExxonMobil (US) |
N/A |
-5% est. |
Oil prices |
|
Energy |
TotalEnergies (Europe) |
N/A |
+2-5% est. |
Diversification |
|
Energy |
Siemens Energy (Europe) |
N/A |
+7% |
Revenue surge |
|
Risk |
Likelihood (BlackRock) |
Tech Impact |
Energy Impact |
|
Middle East War |
High |
Supply chain disruptions |
Energy infrastructure threats |
|
US-China Decoupling |
High |
AI fragmentation |
Rare earth shortages |
|
Russia-NATO Conflict |
Medium |
Cybersecurity risks |
Gas supply volatility |
|
Cyber Attacks |
High |
IP theft |
Grid disruptions |
In summary, the tech sector continues to benefit from strong momentum driven by AI. This creates clear upside potential. At the same time, the energy sector is navigating a difficult transition shaped by ongoing crises. As a result, a more cautious approach is needed.
Goldman Sachs offers a balanced view. It expects global growth to slow toward the end of the year. However, it also sees growth picking up again in 2026. Given this outlook, investors should closely watch how these connected forces evolve across both sectors.
Reference Links
Disclaimer:
This article is for informational and educational purposes only and does not constitute financial, investment, trading, or legal advice. Always do your own research or consult a licensed advisor before making trading decisions.