AI Earnings Prediction

Screening Filters

1. Themes: AI Beneficiary, Cloud Computing, Software as a Service, Semiconductor Equipment & Materials, Technology

   • Purpose: Focus on companies that are directly involved in, or are key beneficiaries of, AI and related technologies.
   • Rationale:
     • AI Beneficiary explicitly targets firms whose business models or revenue growth are tied to AI adoption.
     • Cloud Computing and Software as a Service include the infrastructure and software layers where many AI workloads run (e.g., AI in the cloud, AI-enabled SaaS products).
     • Semiconductor Equipment & Materials captures chip and hardware suppliers that are critical for AI computing (GPUs, AI accelerators, memory, fabrication equipment).
     • Technology is a broader catch-all to avoid missing relevant AI plays that may not be tagged in a narrower theme but are still tech-driven.
       Together, these themes approximate the investable “AI ecosystem,” so any earnings expectations pulled from this group are, by design, AI-related.

2. Region: United States

   • Purpose: Limit results to U.S.-listed companies.
   • Rationale:
     • Many leading AI and AI-adjacent firms are U.S.-based or at least primarily listed in the U.S.
     • U.S. coverage tends to have richer and more consistent analyst estimates and earnings forecasts, making “earnings predictions” more reliable and easier to compare.

3. Exchanges: XNYS (NYSE), XNAS (Nasdaq), XASE (NYSE American)

   • Purpose: Restrict to major U.S. exchanges.
   • Rationale:
     • These exchanges host the bulk of sizable, liquid AI-related names.
     • Companies here typically have better disclosure, more analyst coverage, and therefore more detailed earnings estimates and price targets—directly relevant to your interest in earnings predictions.

4. Quarter EPS YoY Growth: min 15%

   • Purpose: Filter for companies already demonstrating strong earnings growth (at least 15% year‑over‑year in the most recent quarter).
   • Rationale:
     • While your question is about predictions, analysts often project future earnings based on demonstrated growth trends.
     • Requiring solid recent EPS growth helps focus on AI-related firms where the business momentum is already visible, making future earnings forecasts more meaningful and less speculative.

5. Analyst Consensus: Strong Buy, Moderate Buy

   • Purpose: Select companies with broadly positive analyst views and constructive forward expectations.
   • Rationale:
     • Earnings “predictions” from the market’s perspective are embedded in analyst ratings and their forward EPS estimates.
     • By focusing on Strong/Moderate Buy, you’re zooming in on AI-related stocks where analysts’ forward-looking assessments—earnings, growth, and risk—are favorable.

6. Target Price Upside Potential: MoreAbovePrice

   • Purpose: Include only stocks where analysts’ target prices are meaningfully above the current share price.
   • Rationale:
     • Analyst price targets are built from their earnings and cash-flow forecasts.
     • Positive upside suggests that, based on their earnings models, analysts see future value creation ahead—this is another way of capturing “optimistic earnings predictions” for AI names.

7. Earnings Date: from 2026-04-27 to 2026-05-27

   • Purpose: Focus on AI-related companies with upcoming earnings within roughly the next month.
   • Rationale:
     • If you’re interested in current earnings predictions, upcoming reports are where those predictions will be tested.
     • This window lets you look at near-term earnings events, where analyst estimates (EPS, revenue, guidance expectations) are freshest and most actionable.

Why Results Match Your Question

• The theme filters ensure that the list is centered on AI and its core enablers (cloud, SaaS, chips), aligning directly with “AI-related companies.”
• The U.S. major-exchange focus increases the likelihood of rich, up-to-date analyst coverage, which is crucial for reliable earnings predictions.
• The growth, consensus, and upside filters collectively narrow the set to AI names where analysts not only cover the stock, but also project strong earnings trajectories and see upside based on those forecasts.
• The upcoming earnings-date filter ties this all to the near term, so the companies you see are precisely those for which earnings predictions are most relevant right now.