skills/bigdata-earnings-preview/assets/report-template.md

# Earnings preview — report template

Follow this structure. Keep the section order. Tables marked **mandatory** always appear — if data is missing, write "Not available in data" rather than dropping the section. Add inline citations `[1]`, `[2]` immediately after claims, hyperlinked to the document URL.

---

```
# Earnings Preview: [Company Name]
Upcoming Earnings: [Date if known]
Reporting for: [Quarter and Fiscal Year]

## Executive Summary
[2-3 sentences. **Number the thesis:** **Driver 1:** … **Driver 2:** … **Driver 3:** … (or fewer if only 2 pass EPIC). No generic headline recap.]

## Primary drivers — EPIC documentation (mandatory)
| Driver | E (material) | P (forecastable) | I (consensus blind spot) | C (your gap vs consensus) | Why prioritized vs. deprioritized factors |
|--------|--------------|------------------|--------------------------|---------------------------|---------------------------------------------|
| 1. [Name] | ✓/— / note | ✓/— / note | ✓/— / note | ✓/— / note | [one line] |
| 2. [Name] | | | | | |
| 3. [Name] | | | | | |

## Earnings quality quick screen
| Check | Observation | Implication | **Watch for (forward)** |
|-------|-------------|-------------|-------------------------|
| OCF / NI | | | |
| DSO trend | | | |
| GAAP vs non-GAAP | | | |

## Financial Expectations

### Consensus Estimates
- Revenue: [Estimate] (YoY growth: X%)
- EPS: [Estimate] (YoY change: X%)
- Operating Margin: [Estimate]
- [Other key metrics]

### Recent Performance Context
[Brief summary of last quarter's results and trends]

## Sentiment & positioning (mandatory structured table)
*Pull tearsheet fields first; use search to fill gaps. Use **"Not available"** if missing—do not omit the section.*

| Data type | Metric / fact | Source (tearsheet / search / filing) | As of |
|-----------|---------------|----------------------------------------|-------|
| Quantified news / social sentiment | e.g. score, percentile | | |
| Options / derivatives positioning | e.g. put/call, skew, OI | | |
| Short interest / borrow (if relevant) | | | |
| Institutional ownership / 13F changes | e.g. large holder Δ | | |
| Insider transactions | buys / sells / Form 4 | | |
| Sell-side posture | mean PT, # upgrades vs downgrades | | |

## Recent Developments and Initiatives
[Bulleted list of key developments since last earnings—including **legal/regulatory** items from search]
- [Development 1 with date and implication]
- [Development 2 with date and implication]

## Industry Trends and Sector Dynamics
[Analysis of broader industry context]
- [Trend 1 and impact on company]
- [Trend 2 and impact on company]

## What's priced in
| Lens | Implied by market | Consensus | Your view |
|------|-------------------|-----------|-----------|
| Growth | | | |
| Margins | | | |
| Beat / miss bar | | | |

## Valuation cross-check
[Current EV/EBITDA, P/E, FCF yield vs history/peers; cheap/fair/rich vs embedded expectations]

## Variant perception (FaVeS) — mandatory structure
### Fundamentals
[2–3 KPIs that drive value this quarter; where consensus may be wrong—link to Drivers 1–3 and bull/bear below]

### Valuation
[2–4 sentences bridging **What's priced in** + **Valuation cross-check**; state implied expectations in plain English]

### Sentiment
[2–4 sentences bridging **Sentiment & positioning** table; distinguish **positioning / flows** from single analyst calls]

## Bull Case: Drivers for Upside Surprise
1. [Specific, measurable bull point tied to consensus lines / KPIs]
   - Evidence: [source]
   - Impact: [quantify if possible]

2. [Same structure]

## Bear Case: Risks to Consensus
1. [Specific bear point; sustainable vs one-time where relevant—including legal/regulatory if material]
   - Evidence: [source]
   - Impact: [quantify if possible]

2. [Same structure]

## Scenario analysis (mandatory)
| Scenario | Probability (%) | Key assumptions | Price / value (range or PT) | Implied return vs spot |
|----------|-----------------|-----------------|-----------------------------|-------------------------|
| Bull | | | | |
| Base | | | | |
| Bear | | | | |
| **Total** | **~100%** | | | |

**Probability-weighted view:** [Show EV calculation—e.g. EV = p_Bull×P_Bull + p_Base×P_Base + p_Bear×P_Bear; state **expected upside/downside %** vs spot]

## Key Metrics to Watch
1. **[Metric 1]:** Why it matters and what to look for
2. **[Metric 2]:** Why it matters and what to look for
3. **[Metric 3]:** Why it matters and what to look for

## Management Guidance Focus Areas
[What to listen for in guidance and Q&A]
- [Topic 1]
- [Topic 2]

## Investment Implications
[Balanced risk/reward **given what's priced in** and **scenario EV**]

**Closing (structured):** Net assessment: [Positive/Negative/Neutral] because [specific]; key risk: [X]; next catalyst: [Y].

## Sources
  ALWAYS include a "Sources" section at the end listing ALL documents referenced with:
   - Reference number matching the inline Superscript Numbers
   - Source name and Publication date (MMM DD, YYYY format) with a hyperlink to the URL

   **Example:**
   [1] (NVIDIA Q3 2026 Earnings Call - Nov 19, 2025)[https://www.benzinga.com/node/...]
   [2] (Benzinga - Nov 20, 2025)[https://www.benzinga.com/node/...]
   [3] (Yahoo! Finance - Jan 18, 2026)[https://finance.yahoo.com/news/...]


---

**Powered by Bigdata.com** - https://bigdata.com

## Disclaimer

This output is for informational and research-assistance purposes only. It does **not** constitute investment, legal, tax, accounting, or other professional advice, and it is **not** a recommendation to buy, sell, or hold any security or instrument or to pursue any strategy. Information may be incomplete, estimated, delayed, or inaccurate. Past performance does not guarantee future results. Verify material facts independently and consult qualified advisors before making decisions.
```

---

## Footer rule

The **Powered by Bigdata.com** line and the **Disclaimer** block above are mandatory and must be reproduced **verbatim**, after the Sources section, in every user-facing deliverable.