Earnings Recap

Earnings Recap - Professional Earnings Analysis Skill

This skill framework is designed for professional analysis of public company quarterly financial reports. Following standard financial analyst methodologies and dimensions, it performs in-depth analysis of financial data to generate structured investment analysis reports.

Analysis Framework

1. Revenue Analysis 💰

Analyze revenue quality and growth drivers

• Year-over-year growth rate: Growth compared to the same period last year
• Quarter-over-quarter growth: Growth trend compared to the previous quarter
• Guidance changes: Whether management raised or lowered guidance for next quarter/full year
• Revenue composition: Revenue breakdown and growth rates by product/geography/business line
• vs. expectations: Actual revenue vs analyst consensus, calculate beat/miss magnitude

Key questions: Is growth sustainable? Does it come from core business or one-time items?

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2. Profitability Analysis 📊

Gross Margin Trends

• Gross margin YoY and QoQ changes
• Reasons for margin improvement/deterioration (cost pressure, product mix, pricing power)
• Comparison with industry average

Operating Profit

• Operating margin YoY changes
• Control of R&D and SG&A expenses
• Operating leverage evidence

Net Income Quality

• Net income vs operating profit: impact of non-recurring items
• Profit growth vs revenue growth
• Deviation analysis vs expectations

Key questions: Is profit growth sustainable? Does it depend on one-time items? Is gross margin under pressure?

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3. Cash Flow Health 💧

Operating Cash Flow

• Operating cash flow YoY growth
• Operating cash flow vs net income comparison (quality metric)
• Impact of receivables/payables changes on cash flow

Capital Expenditure

• CapEx as a percentage of revenue
• Free cash flow (FCF = Operating Cash Flow - CapEx) growth

Cash Conversion Cycle

• Changes in inventory and accounts receivable cycles
• Working capital increases/decreases

Key questions: Are profits converting to cash? Is free cash flow sufficient? Is the cash structure healthy?

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4. Debt & Financial Health 🔒

• Debt scale: Total debt and net debt YoY changes
• Debt ratios:
  • Leverage ratio (Net Debt/EBITDA)
  • Debt-to-equity ratio
  • Interest coverage ratio
• Debt quality: Short-term vs long-term debt, maturity profile
• Cash position: Cash and equivalents vs short-term debt

Key questions: Is debt level manageable? Is debt repayment capacity sufficient? Any signs of deleveraging?

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5. Shareholder Returns 📈

• Earnings per share (EPS): Actual EPS vs expectations, YoY growth
• Dividend situation: Payout ratio, dividend changes, sustainability
• Share buybacks: Buyback amount, share count impact on EPS
• Return on equity (ROE): Whether improving

Key questions: How is management allocating capital? Is the return policy shareholder-friendly?

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6. Key Financial Metrics Benchmark 🎯

Metric	Actual	Expectation	YoY	QoQ	Assessment
Revenue	-	-	-	-	Beat/In Line/Miss
Gross Margin	-	-	-	-	↑/→/↓
Operating Margin	-	-	-	-	↑/→/↓
Net Income	-	-	-	-	Beat/In Line/Miss
Operating Cash Flow	-	-	-	-	-
Free Cash Flow	-	-	-	-	-
Leverage Ratio	-	-	-	-	Improving/Deteriorating

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7. Market Reaction & Investment Recommendation 🚀

Market Reaction Assessment

• Stock price reaction (after-hours movement) is it reasonable?
• Relative performance vs peers
• Institutional investor sentiment changes

Catalyst Identification

• Positive catalysts: What drives future growth
• Risk factors: Key risk points
• Guidance insight: Management's outlook on the future

Investment Conclusion

• Valuation assessment: PE/PB vs historical and industry averages
• Growth prospects: Expected growth for next 2-3 quarters
• Recommendation level: Rationale for Buy/Hold/Sell

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Analysis Framework Workflow

Step 1: Quick Data Summary (Executive Summary)

3-5 sentence quick summary of quarterly highlights: revenue performance, profit performance, cash flow, debt changes

Step 2: Detailed Financial Benchmark

Build a key metrics comparison table as shown above, clearly display Beat/Miss

Step 3: In-Depth Dimensional Analysis

Analyze each of the 6 dimensions sequentially, 1-2 paragraphs per dimension, including:

• Key data points
• YoY/QoQ changes
• Root cause analysis
• Trend assessment

Step 4: Market Reaction Assessment

• After-hours reaction reasonableness
• Peer comparison
• Future driving factors

Step 5: Investment Recommendation

• Clear Buy/Hold/Sell judgment
• Key risk warnings
• Target price (if sufficient data available)
• Metrics to monitor

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Output Guidelines

✅ Do:

• Use tables to clearly display data comparisons
• Highlight key data points and inflection points
• Provide objective cause analysis rather than subjective judgment
• Clearly state data sustainability
• Use symbols like "↑/→/↓" to quickly convey trends

❌ Don't:

• Pile up lengthy paragraphs; should be concise and efficient
• Make unfounded emotional judgments
• Overlook risk factors
• Over-interpret single metrics
• Miss YoY/QoQ comparisons

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Analysis Template

When users provide financial data, output following this structure:

# [Company Name] Q[X] Earnings Analysis

## 📌 Executive Summary
[3-5 key points]

## 📊 Key Metrics Benchmark
[Table format]

## 💰 Revenue Analysis
[Specific data + trends + assessment]

## 📈 Profitability Analysis
[Gross margin / operating margin / net profit analysis]

## 💧 Cash Flow Analysis
[Operating / investing / free cash flow analysis]

## 🔒 Debt & Financial Health
[Debt data + repayment capacity analysis]

## 📈 Shareholder Returns
[EPS / dividend / buyback analysis]

## 🚀 Market Reaction & Outlook
[Stock reaction + future catalysts + investment recommendation]

## ⚠️ Key Risk Warnings
[Risk factors to monitor]

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Skill Trigger Prompts

This skill is triggered when users provide scenarios like:

• "Analyze company XX Q3 earnings"
• "How is this company's quarterly report?"
• "Revenue growth beat expectations, but profit declined, why?"
• "Assess the investment value of this financial data"
• "How are cash flow and debt levels?"
• "Performance compared to last year same period?"
• "What does this guidance change mean?"

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Data Requirements Checklist

If user hasn't provided complete data, request by priority:

1. Essential: Revenue, net income, EPS (need at least actual and expected values)
2. Important: Gross margin, operating profit, operating cash flow, total debt
3. Useful: Operating expenses, capital expenditure, dividend info, next quarter guidance
4. Reference: Peer comparison data, historical trend data

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Analysis Quality Indicators

A good Earnings Recap analysis should have:

✅ Data Accuracy

• All metrics in comparison tables are accurate
• Beat/miss calculations are correct
• Percentage changes are calculated correctly

✅ Logical Coherence

• Clear connections between data points (e.g., why margin decline affects profit growth)
• Problem diagnosis is evidence-based, not speculative
• Cause-effect relationships are explicit

✅ Completeness

• Covers all 6 dimensions (even if some data is missing)
• Presents both strengths and risk warnings
• Includes action items for follow-up

✅ Actionability

• Clear investment recommendation (Buy/Hold/Sell)
• Key risks marked with ⭐ severity rating
• Follow-up metrics to monitor are specific