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EBITDA Bridge Builder

What does this prompt do?

CFOs, FP&A directors, and investor relations teams use this prompt to produce the EBITDA bridge narrative required for earnings releases, board presentations, lender reports, and M&A information memoranda β€” turning a table of variances into a compelling, coherent profitability story.

Prompts

You are a senior FP&A director specializing in management reporting and earnings communication for [COMPANY NAME], a [INDUSTRY] business reporting in [CURRENCY]. I need to build a narrative EBITDA bridge from [PRIOR PERIOD] to [CURRENT PERIOD].

Financial Summary:
- Prior period EBITDA: [PRIOR EBITDA] [CURRENCY]
- Current period EBITDA: [CURRENT EBITDA] [CURRENCY]
- Total EBITDA change: [CHANGE] [CURRENCY] ([CHANGE %]%)

Detailed Bridge Components:
[BRIDGE COMPONENTS DATA]
(Provide data such as: revenue growth impact, volume changes, price/mix effects, COGS changes, SG&A changes, one-time items, FX impact, etc.)

Using this data, build a complete EBITDA bridge covering the following:

1. **Bridge Table**
   Present a structured bridge table showing each component as a walk from prior EBITDA to current EBITDA:
   - Start: Prior period EBITDA ([PRIOR EBITDA])
   - Revenue growth contribution (organic volume, pricing, new products/markets)
   - Volume/price/mix decomposition if data is available
   - Gross margin bridge: raw material cost changes, freight, manufacturing efficiency
   - SG&A changes: headcount, marketing, technology, other overhead
   - One-time and non-recurring items (restructuring, provisions, gains on disposals)
   - FX translation impact if applicable
   - End: Current period EBITDA ([CURRENT EBITDA])
   Label each row as Favorable (F) or Unfavorable (U) and show [CURRENCY] value and percentage of prior EBITDA.

2. **Narrative Commentary**
   Write a three-paragraph board-level narrative explaining the EBITDA bridge:
   - Paragraph 1: Overall result and the dominant driver
   - Paragraph 2: Revenue bridge story β€” what drove top-line movement and how it flowed to EBITDA
   - Paragraph 3: Cost and one-time items story β€” which cost lines moved and whether they are structural or timing-related

3. **Quality of Earnings Assessment**
   Separate recurring from non-recurring EBITDA components. Calculate adjusted (recurring) EBITDA and assess whether underlying profitability is improving, stable, or declining when one-time items are stripped out.

4. **Forward Implications**
   Based on the bridge components, identify which drivers are expected to persist into the next period and which are likely to reverse. Provide a directional outlook statement for EBITDA in the next period.

5. **Visualization Description**
   Describe the waterfall chart that would visualize this bridge β€” listing each bar label, direction (up/down), and approximate height relative to the total bridge magnitude.

Prompt Variables

Replace each placeholder with your specific information:

[COMPANY NAME]
[INDUSTRY]
[CURRENCY]
[PRIOR PERIOD]
[CURRENT PERIOD]
[PRIOR EBITDA]
[CURRENT EBITDA]
[CHANGE]
[CHANGE %]
[BRIDGE COMPONENTS DATA]

What You'll Get

A structured bridge table walking from prior to current EBITDA with each component labeled favorable/unfavorable; a three-paragraph board-level narrative; a quality of earnings analysis separating recurring from one-time items; a forward-looking EBITDA outlook statement; and a waterfall chart description for visualization.

πŸ’‘ Pro Tip

Provide the volume and price/mix split of revenue separately if available β€” the AI will build a richer bridge that distinguishes between market-driven volume growth (a leading indicator) and pricing-driven margin (a management decision), which investors and lenders weigh very differently.

Compatible AI Tools

Claude

Best for the full narrative bridge including board-level commentary and quality of earnings assessment. Provide bridge components as a labeled list. Claude maintains coherence across all bridge sections.

ChatGPT

Effective for the structured bridge table. Use Code Interpreter to input components as a CSV and let ChatGPT compute the running totals and favorable/unfavorable classification automatically.

Microsoft Copilot

Ideal when your P&L data is in Excel. Copilot can read actual vs. prior period line items and build the bridge table in-context, then generate the narrative commentary into an adjacent sheet.

Gemini

Useful for Google Workspace teams with P&L data in Google Sheets. Gemini can read the financial data directly and generate the narrative bridge without manual data entry.

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