Chiudi menu
    Facebook X (Twitter) Instagram
    BBA Trading
    • Analisi di mercato
    • Strategie di trading
    • materie prime
    • Mercato azionario
    • Criptovaluta
    • Forex
    • Trading basato sull'intelligenza artificiale
      • Come funziona l'intelligenza artificiale nel trading azionario
      • Panoramica delle piattaforme di trading basate sull'intelligenza artificiale
      • Vale la pena investire nell'intelligenza artificiale?
    Facebook X (Twitter) Instagram
    BBA Trading
    Casa»Analisi di mercato»Orientarsi nella stagione degli utili del 2026: settori da tenere d'occhio e titoli su cui investire.
    Analisi di mercato

    Orientarsi nella stagione degli utili del 2026: settori da tenere d'occhio e titoli su cui investire.

    Nora HayesBy Nora Hayes25 marzo 2026Aggiornato:1 giugno 2026Nessun commento7 Minuti di lettura
    Facebook Twitter Pinterest LinkedIn Tumblr E-mail
    Stock market board representing 2026 earnings season
    Condividere
    Facebook Twitter LinkedIn Pinterest E-mail

    Q1 2026 Earnings Preview

    First-quarter earnings season for 2026 begins in earnest the week of April 14, with major banks including JPMorgan Chase, Goldman Sachs, Citigroup, and Wells Fargo reporting results. Aggregate S&P 500 earnings are expected to grow 8.2% year-over-year, marking the seventh consecutive quarter of positive earnings growth. Revenue growth expectations are more modest at 4.5%, highlighting the continued importance of operational efficiency and margin expansion in driving bottom-line results. For background, see CFTC Learn & Protect.

    This earnings season carries particular significance because it will provide the first comprehensive look at corporate America’s performance in an environment characterized by stable monetary policy, moderate GDP growth, and gradually normalizing supply chains. Forward guidance will be scrutinized more closely than actual results, as investors attempt to assess whether the Q4 2025 margin expansion trend is sustainable or approaching its limits. For background, see Federal Reserve.

    Sector-by-Sector Expectations

    Technology (Expected EPS growth: +12%)

    The technology sector remains the growth engine of the S&P 500, with earnings expectations benefiting from continued AI infrastructure spending, cloud computing revenue acceleration, and advertising market recovery. NVIDIA, Microsoft, Apple, Alphabet, and Meta Platforms collectively account for approximately 25% of total S&P 500 earnings, making their individual reports market-moving events.

    Key metrics to watch: AI-related revenue disclosures, cloud computing growth rates (Azure, AWS, Google Cloud), capital expenditure guidance (particularly AI-related capex), and operating margin trends. Companies that demonstrate operating leverage, growing revenue faster than expenses, will be rewarded. Those showing margin compression despite AI investment will face selling pressure.

    Financials (Expected EPS growth: +6%)

    Bank earnings will set the tone for the broader market during the first week of reporting season. Net interest income remains under pressure from the flattening yield curve, but trading revenue is expected to provide an offset, particularly for banks with large capital markets operations. Credit quality metrics, including net charge-off rates and loan loss provisions, will be the most closely watched data points for overall economic health.

    Key metrics to watch: Net interest margin (NIM) trends, loan growth (particularly commercial and industrial loans), credit card delinquency rates, and capital return plans (buybacks and dividends). Banks that demonstrate deposit growth in a competitive environment while maintaining credit discipline will outperform.

    Healthcare (Expected EPS growth: +9%)

    The healthcare sector offers a defensive growth profile that is attractive in the current market environment. Pharmaceutical companies benefit from the GLP-1 weight-loss drug boom, with Eli Lilly and Novo Nordisk continuing to report extraordinary demand growth. Managed care companies face uncertainty related to Medicare Advantage reimbursement rates, creating potential volatility around individual reports.

    Energy (Expected EPS growth: -4%)

    Energy is the lone sector expected to report year-over-year earnings decline, reflecting lower oil prices compared to Q1 2025 when WTI averaged $82 per barrel versus the current $77 average. However, the earnings decline is well-understood and largely priced in. Companies that demonstrate capital discipline and shareholder return commitment despite lower prices could still see positive stock price reactions.

    Consumer Discretionary (Expected EPS growth: +7%)

    Consumer spending resilience is the key question for this sector. Amazon’s advertising and AWS segments will dominate the sector’s earnings contribution, but traditional retailers including Home Depot, TJX Companies, and McDonald’s will provide important reads on the state of the consumer across income brackets.

    Earnings Season Trading Strategies

    Strategy 1: Pre-Earnings Drift

    Academic research has documented a tendency for stocks to drift in the direction of the eventual earnings surprise in the 10-15 trading days before the announcement. Stocks with a history of beating estimates and positive analyst revision trends often appreciate before the report. Entering a position 10 days before a high-confidence earner reports and closing before the announcement captures this drift while avoiding the binary event risk of the report itself.

    Strategy 2: Post-Earnings Gap and Continuation

    When a stock gaps significantly higher on earnings (5% or more), there is a documented tendency for the move to continue over the subsequent 2-5 trading days as institutional investors who missed the initial move establish positions. Wait for the first session to close, then enter on the first pullback the following day with a stop below the earnings day low. This setup captures the continuation momentum while using the gap as a natural risk management level.

    Strategy 3: Straddle/Strangle for Volatility

    For traders who prefer to trade volatility rather than direction, purchasing straddles or strangles 5-7 days before earnings captures the implied volatility expansion that typically occurs as traders position for the binary event. The key to profitability is selling the position before the earnings announcement, capturing the IV expansion without taking the actual earnings risk. This strategy works best on stocks where implied volatility tends to underestimate the pre-earnings IV ramp.

    Strategy 4: Sector Rotation on Bellwether Reports

    The first company to report in each sector establishes the narrative for the entire group. When JPMorgan reports on April 14, the reaction will move all bank stocks. When ASML reports, all semiconductor stocks will adjust. Position in sector laggards that stand to benefit from a positive bellwether report, or short overextended names that are vulnerable to a negative tone from the first reporter.

    Managing Earnings Risk in Existing Positions

    For longer-term investors who hold positions in companies reporting earnings, the decision to hold through the announcement or temporarily hedge deserves careful consideration. The expected post-earnings move, visible through options pricing, provides context.

    If the implied one-day move priced by options is significantly larger than your trailing stop distance, the earnings event creates a risk of gap through your stop. In this case, purchasing a put option equal to the position size provides defined-risk protection through the announcement. The cost of the put is insurance premium, not a loss, and should be viewed in that context.

    For positions with substantial unrealized gains, a collar strategy (selling an out-of-the-money call and buying an out-of-the-money put) can be implemented at zero or near-zero net cost. This bounds both the upside and downside through the earnings event, which is appropriate for existing holdings where capital preservation is the primary objective.

    Key Dates for Q1 2026 Earnings Season

    • April 14: JPMorgan Chase, Wells Fargo, Citigroup
    • April 15: Goldman Sachs, Bank of America, Johnson & Johnson
    • April 16: UnitedHealth Group, Morgan Stanley, ASML
    • April 21: Netflix, Charles Schwab
    • April 22: Tesla, Alphabet, Texas Instruments
    • April 23: Meta Platforms, IBM, Boeing
    • April 28: Microsoft, Alphabet (if not 22nd), Visa
    • April 29: Amazon, Apple, Mastercard
    • May 1: Eli Lilly, Qualcomm

    The concentration of mega-cap tech earnings in the final week of April makes that week the pivotal period for Q1 earnings season and potentially for the direction of the broader market through mid-year. Position sizing and portfolio protection strategies should be calibrated with this calendar in mind.

    Letture correlate

    • I mercati globali registrano un rialzo dopo che la Federal Reserve ha segnalato la stabilità dei tassi d'interesse fino al 2026.
    • Bitcoin supera quota $92.000: l'adozione istituzionale raggiunge il punto di svolta nel secondo trimestre del 2026.
    • La volatilità del petrolio greggio aumenta vertiginosamente a causa della disputa sull'offerta in seno all'OPEC+ e del cambiamento della domanda di energia.

    Domande frequenti

    Qual è l'obiettivo principale di questa guida?

    This guide explains navigating the 2026 earnings season in a balanced, educational way, covering both the potential benefits and the key risks so you can make informed decisions.

    What should I know about q1 2026 earnings preview?

    This section covers q1 2026 earnings preview. The key takeaway is to understand the underlying mechanics and the associated risks before acting, and to size any exposure conservatively.

    What should I know about sector-by-sector expectations?

    This section covers sector-by-sector expectations. The key takeaway is to understand the underlying mechanics and the associated risks before acting, and to size any exposure conservatively.

    What should I know about earnings season trading strategies?

    This section covers earnings season trading strategies. The key takeaway is to understand the underlying mechanics and the associated risks before acting, and to size any exposure conservatively.

    Questo articolo costituisce una consulenza finanziaria?

    No. Questo contenuto è fornito esclusivamente a scopo educativo e informativo e non costituisce consulenza finanziaria, di investimento o di trading. Effettuate sempre le vostre ricerche e valutate la possibilità di consultare un professionista abilitato.

    Come posso approfondire questo argomento?

    Puoi esplorare gli articoli correlati linkati in questo post, esaminare le fonti autorevoli citate e continuare ad approfondire gradualmente le tue conoscenze prima di investire capitali reali.


    bull market day trading NASDAQ options trading S&P 500 swing trading
    Condividere. Facebook Twitter Pinterest LinkedIn Tumblr E-mail
    Nora Hayes

    Nora Hayes è una collaboratrice di BBA Trading specializzata in formazione sugli investimenti, gestione del rischio e strategie di trading. Scrive guide pratiche su dimensionamento delle posizioni, costruzione del portafoglio e trading disciplinato, con l'obiettivo di aiutare i lettori a sviluppare abitudini sostenibili.

    Articoli correlati

    Investimento a lungo termine o trading: quale approccio fa per te?

    1 giugno 2026

    Vale la pena utilizzare l'intelligenza artificiale per il trading di CFD e futures?

    1 giugno 2026

    Come funzionerà l'intelligenza artificiale nel trading di contratti nel 2026

    1 giugno 2026

    Comments are closed.

    Facebook X (Twitter) Instagram Pinterest
    • politica sulla riservatezza
    • Informazioni su BBA Trading
    • Contattaci
    • Esclusione di responsabilità sui rischi
    © 2026

    Digita quanto sopra e premi Enter per avviare la ricerca. Premi Esc per annullare.

    We've detected you might be speaking a different language. Do you want to change to:
    Cambia lingua in English English
    Cambia lingua in English English
    Cambia lingua in German German
    Cambia lingua in Polish Polish
    Cambia lingua in French French
    Cambia lingua in German German (Switzerland)
    Cambia lingua in Croatian Croatian
    Cambia lingua in Czech Czech
    Italian
    Cambia lingua in Spanish Spanish
    Cambia lingua in Swedish Swedish
    Cambia lingua in Portuguese Portuguese (Portugal)
    Cambia lingua in Portuguese Portuguese (Brazil)
    Cambia lingua in Japanese Japanese
    Cambia lingua in Thai Thai
    Cambia lingua in Danish Danish
    Change Language
    Close and do not switch language
    Italian
    English German Polish French German (Switzerland) Croatian Czech Spanish Swedish Portuguese (Portugal) Portuguese (Brazil) Japanese Thai Danish