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What is an Earnings Preview?

An earnings preview is a research document published before a company reports its quarterly or annual financial results. It sets the stage for what investors should expect by summarizing consensus estimates (what Wall Street analysts predict), key themes to watch (what management has guided or flagged as important), recent news that might affect results, and competitor context (how peers have performed). Earnings previews are a staple of sell-side equity research. They are distributed to buy-side clients (mutual funds, hedge funds, pension funds) in the days leading up to an earnings announcement, helping portfolio managers prepare for the event. The most useful previews go beyond restating consensus — they identify what could go right or wrong and articulate what the stock price is already discounting.

Why It Matters

Earnings announcements are the most important recurring catalysts for individual stocks. Stock prices can move 5-15% on earnings day based on the magnitude of the beat or miss relative to expectations. An earnings preview helps investors position ahead of the event by understanding what is priced in and where the risks of surprise lie. For equity research analysts, earnings previews are a high-visibility product that demonstrates analytical rigor and market awareness. For portfolio managers, they are essential preparation for managing positions through earnings volatility.

Key Concepts

TermDefinition
Consensus EstimateThe average of all sell-side analyst forecasts for a company’s EPS, revenue, or other metric for the upcoming quarter
Earnings Beat / MissWhen actual results exceed (beat) or fall short of (miss) consensus estimates
GuidanceForward-looking projections provided by company management, either during previous earnings calls or in press releases
Key ThemesThe 3-5 most important factors that will determine whether the quarter was strong or weak
Estimate DispersionThe range between the highest and lowest analyst estimates — wide dispersion signals high uncertainty
LTM P/EPrice divided by the sum of the last 4 quarters’ EPS — the trailing valuation metric
NTM P/EPrice divided by the sum of the next 4 quarters’ consensus EPS estimates — the forward valuation metric
Earnings Surprise HistoryA company’s track record of beating or missing consensus — serial beaters are expected to continue beating

How It Works

1

Company Profile and Setup

Parse company ticker, establish reporting period context. Pull company info, summary, and next earnings date via S&P Global MCP tools.
2

Earnings Transcript Analysis

Fetch most recent completed earnings transcript. Extract verbatim quotes, guidance, key drivers, risks, and analyst Q&A themes.
3

Competitor Analysis

Select top 5-7 public competitors. Gather prices, 8 quarters of EPS, market caps, and consensus estimates for all.
4

News and Sector Intelligence

Run Kensho search queries for estimates, analyst ratings, risks, recent news, and sector context.
5

Financial Data Collection

Pull 8 quarters of quarterly financials (revenue, gross profit, operating income, EBITDA, net income, EPS), segment data, and earnings history.
6

Verification and Calculations

Read all intermediate files back. Calculate margins, growth rates, P/E ratios, stock returns. Cross-check everything.
7

Generate HTML Report

Produce a self-contained HTML file targeting 4-5 printed pages with cover and thesis, consensus estimates table, key themes, figures (8 charts/tables), and data sources appendix.

Worked Example: Earnings Preview Structure

Example Preview: Acme Software (ACME) Q3 FY2026

Page 1: Executive Thesis “Acme Software Q3 FY2026 Earnings Preview: Cloud Momentum — Can Acme Sustain the 30% ARR Growth Streak?” Consensus expects Acme to report Q3 revenue of 1.42B(+221.42B (+22% y/y) and EPS of 1.15 (vs. $0.89 year-ago). The key question for this quarter is whether the company can sustain its 30%+ ARR growth trajectory as enterprise cloud spending shows signs of moderating. We expect a modest beat on revenue driven by strong upsell activity, but guide-down risk on Q4 as macro uncertainty weighs on pipeline conversion. Key points:
  • Our EPS estimate: 1.18vs.consensus1.18 vs. consensus 1.15 (expect modest beat from operating leverage)
  • ARR growth of 28-30% is the number to watch — anything below 25% would pressure the stock
  • Management guided to 23% operating margins for FY2026 — Q3 should show ~24% if cost discipline holds
  • The stock trades at 35x NTM P/E vs. peer median of 28x — premium valuation requires premium execution
  • Key risk: CFO departure announced in August. New CFO starting in October creates transition uncertainty
Management quote (from Q2 call): “We are seeing record-level pipeline generation in our enterprise segment, with 45% of deals above $1M in ARR. The shift to multi-product deployments is accelerating.” — CEO Jane Roberts

Page 2: Estimates, Themes, and News

Consensus Estimates Table:
MetricConsensusOur EstimateY/Y ChangeSignal
Revenue$1,420M$1,435M+22.4%Growth decelerating from 28% in Q2
EPS$1.15$1.18+29.2%Operating leverage driving faster EPS growth
Gross Margin76.5%76.8%+80bpCloud mix shift positive
Operating Income$341M$348M+35.0%Above consensus on cost discipline
ARR (non-GAAP)$5.8B$5.85B+28.0%Critical metric for valuation
Key Themes to Watch:
  1. ARR growth trajectory: Consensus expects 28% — below the 30%+ of the prior 4 quarters. A sub-25% print would signal a more meaningful deceleration.
  2. Net retention rate (NDR): NDR has been 125-130% for 6 quarters. Any decline below 120% would signal weakening expansion from existing customers.
  3. CFO transition impact: The outgoing CFO’s last quarter. Watch for any one-time accounting adjustments or changes in guidance methodology.
  4. Macro commentary: Enterprise software companies are reporting longer sales cycles. Acme’s commentary on pipeline conversion rates will set the tone for Q4 expectations.
Recent News:
  • Aug 15: CFO departure announced; new CFO from peer company joins Oct 1
  • Sep 3: Launched AI-powered analytics module; early adoption metrics not yet disclosed
  • Sep 18: Named a Leader in Gartner Magic Quadrant for the 5th consecutive year
  • Oct 2: Competitor Beta Corp reported 18% revenue growth (deceleration from 24%), citing enterprise spending caution

Pages 3-5: Figures

Figure 1: Quarterly Revenue and EPS (8 quarters) — bar/line combo chart Figure 2: Gross and Operating Margin Trends (8 quarters) — dual line chart Figure 3: Revenue Growth Y/Y % (4 quarters with prior-year comparisons) — bar chart Figure 4: Business Segment Revenue Table — segment, latest Q revenue, % of total, y/y change Figure 5: 1-Year Stock Price with Earnings Dates — price line with vertical annotation lines Figure 6: Stock Performance vs. Competitors (indexed to 100) — multi-line chart Figure 7: LTM P/E vs. Competitors — horizontal bar chart Figure 8: Competitor Comparison Table — ticker, company, market cap, LTM P/E, NTM P/E, YTD %, 1-yr %

Appendix: Data Sources

Every number in the report must link to its source:
  • Financial data: S&P Capital IQ via kfinance MCP functions
  • Qualitative intelligence: Kensho Grounding via search MCP
  • No other data sources permitted

Daily Workflow for Earnings Previews

2 Weeks Before Earnings: Begin data collection. Pull consensus estimates, recent transcripts, competitor data, and sector intelligence. Write intermediate files for each data collection phase. 1 Week Before: Draft the preview. Write the thesis, key themes, and estimate table. Generate all charts and tables from the collected data. 3-5 Days Before: Review and finalize. Verify all numbers against source data. Run the calculation verification phase. Ensure all hyperlinks from claims to appendix are working. 1-2 Days Before: Distribute the preview. Open the HTML report for visual QA. Share with the team. Earnings Day: Compare actual results to the preview’s estimates and themes. Document where the preview was right and where it was wrong — this feedback loop improves future previews.

Practice Exercise

Generate the outline for an earnings preview for the following company: Company: NextGen Payments Inc. (NGP), a fintech company providing payment processing to e-commerce businesses Upcoming Report: Q4 FY2025 (reports January 28) Key Financial Data:
MetricQ3 FY2025 ActualQ4 FY2025 Consensus
Revenue$890M$950M
EPS$0.72$0.78
Gross Margin52%52.5%
Total Payment Volume (TPV)$48B$52B
Revenue Growth18%16%
Take Rate (Rev/TPV)1.85%1.83%
Context:
  • Holiday quarter (Q4 is seasonally strongest for e-commerce payments)
  • Competitor reported weak Q4 guidance citing “merchant spending caution”
  • NGP launched a buy-now-pay-later (BNPL) product in Q3
  • CEO mentioned “pipeline of enterprise merchants is the strongest in company history” on Q3 call
Tasks:
  1. Write the executive thesis (2-3 paragraphs) for NGP’s Q4 preview. Take a view on whether you expect a beat or miss.
  2. Build the consensus estimates table with your own estimates and y/y changes.
  3. List 4 key themes to watch for this specific quarter.
  4. Identify 3 figures (charts/tables) that would be most important for this preview.
  5. Draft 2 questions that the earnings call Q&A should answer to validate or invalidate the thesis.

Common Mistakes

The ONLY permitted data sources are Kensho Grounding MCP (search) and S&P Global MCP (kfinance). No web search, no browser tools, no URL fetching. Every claim must have a corresponding source in the appendix.
  1. Restating consensus without taking a view. An earnings preview that merely says “consensus expects 1.15EPS"isnotuseful.Takeaposition:"Weexpect1.15 EPS" is not useful. Take a position: "We expect 1.18, above consensus, driven by operating leverage from cost discipline.” Be opinionated but back it with data.
  2. Ignoring estimate dispersion. If the EPS range is 0.95to0.95 to 1.35, that tells you analysts fundamentally disagree about the quarter. This dispersion is itself a key insight — mention it and explain why the range is wide.
  3. Not including competitor context. A company’s earnings do not happen in isolation. If all peers are reporting decelerating growth, the market will expect the same. If one peer reported a blowout quarter, expectations may be elevated.
  4. Writing too much narrative. Target 4-5 printed pages. Use tight, punchy bullet points. Every sentence must earn its place. If you can say it in fewer words, do so.
  5. Paraphrasing management quotes. When quoting management in blockquotes, the text must be copied exactly from the transcript — word for word. Do not rearrange, combine, or “clean up” quotes. If you cannot find the exact phrase, paraphrase in your own narrative voice without blockquote formatting.
  6. Using imprecise numbers. “$52.4B revenue, up 5.2% y/y” is professional. “Strong revenue growth” is not. Be specific with every data point.
  7. Not labeling valuation ratios correctly. All P/E ratios must be explicitly labeled as LTM (trailing) or NTM (forward). Never use “trailing” or “forward” — always use LTM or NTM. LTM uses the sum of the most recent 4 reported quarters. NTM uses the sum of the next 4 quarterly consensus estimates.
  8. Skipping the data verification phase. Before generating the report, read all intermediate files back into context and verify every calculation. Numbers computed in long conversations can drift — the intermediate files are the single source of truth.
  9. Not including the AI disclaimer. “Analysis is AI-generated — please confirm all outputs” must appear in the header banner, footer, and appendix. This is mandatory.
  10. Failing to source every claim. Every number and qualitative claim in the report must link to an appendix entry with a specific data source (MCP function call or Kensho search query). Unsourced claims undermine the report’s credibility.

How to Add to Your Local Context

claude plugin install spglobal@financial-services-plugins
Customize by adding your firm’s standard competitors for each coverage sector, preferred chart styling, or additional company-specific KPIs to track.

Best Practices

  • Target 4-5 printed pages — tight, punchy bullet points; every sentence must earn its place
  • Use verbatim quotes only — copy-paste exactly from transcripts, never paraphrase in blockquotes
  • Be specific: “$52.4B revenue, up 5.2% y/y” not “strong revenue growth”
  • Take a view — state what you expect and why
  • Frame valuation relative to peers, not in isolation
  • All ratios must be labeled as LTM or NTM, never “trailing” or “forward”
  • AI disclaimer must appear in header banner, footer, and appendix
  • Every claim must be sourced in the appendix with specific MCP function calls or Kensho search queries
  • Complete all research before writing any part of the report
  • Write intermediate data files immediately after each MCP tool call to protect against context loss