Model Update

Workflow

Step 1: Identify What Changed

Determine the update trigger:

• Earnings release: New quarterly actuals to plug in
• Guidance change: Company updated forward outlook
• Estimate revision: Analyst changing assumptions based on new data
• Macro update: Interest rates, FX, commodity prices changed
• Event-driven: M&A, restructuring, new product, management change

Step 2: Plug New Data

After Earnings

Update the model with reported actuals:

Segment Detail (if applicable):

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• Update each segment's revenue and margin
• Note any segment mix shifts

Balance Sheet / Cash Flow Updates:

• Cash and debt balances
• Share count (buybacks, dilution)
• Capex actual vs. estimate
• Working capital changes

Step 3: Revise Forward Estimates

Based on the new data, adjust forward estimates:

Key Assumption Changes:

• What assumptions are you changing and why?
• Revenue growth rate: old → new (reason)
• Margin assumption: old → new (reason)
• Any new items (restructuring charges, one-time gains, etc.)

Step 4: Valuation Impact

Recalculate valuation with updated estimates:

Step 5: Summary & Action

Estimate Change Summary:

• One paragraph: what changed, why, and what it means for the stock
• Is this a thesis-changing event or noise?

Rating / Price Target:

• Maintain or change rating?
• New price target (if changed) with methodology
• Upside/downside to current price

Step 6: Output

• Updated Excel model (if user provides the existing model)
• Estimate change summary (markdown or Word)
• Updated price target derivation

Important Notes

• Always reconcile your estimates to the company's reported figures before projecting forward
• Note any non-recurring items and whether your estimates are GAAP or adjusted
• Track your estimate revision history — it shows your analytical progression
• If the quarter was noisy, separate signal from noise in your estimate changes
• Check consensus after updating — how do your revised estimates compare to the Street?
• Share count matters — dilution from stock comp, converts, or buybacks can materially affect EPS

简诗 AI 安全边界

• 不自动安装依赖、修改系统权限、创建持久化任务或执行下载内容。
• 涉及发送、发布、删除、付款、部署或其他外部写入时，先展示目标与影响并取得用户明确确认。
• 凭据只用于用户指定的对应官方服务，不回显、不记录，也不转发到无关地址。
• 命令和代码默认作为参考；只有用户明确要求执行且目标范围清楚时才可运行。

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这是一款质量中等的财务模型更新工具。工作流程清晰有序，步骤划分合理，表格模板实用，安全边界说明也很规范。不足是缺少具体示例和操作指引，实际使用时可能需要较多自行摸索。总体适合有经验的财务分析师使用，但对新手不太友好。