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):

• 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

簡詩 AI 安全邊界

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• 涉及傳送、釋出、刪除、付款、部署或其他外部寫入時，先展示目標與影響並取得使用者明確確認。
• 憑據只用於使用者指定的對應官方服務，不回顯、不記錄，也不轉發到無關地址。
• 命令和程式碼預設作為參考；只有使用者明確要求執行且目標範圍清楚時才可執行。

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這是一款質量中等的財務模型更新工具。工作流程清晰有序，步驟劃分合理，表格模板實用，安全邊界說明也很規範。不足是缺少具體示例和操作指引，實際使用時可能需要較多自行摸索。總體適合有經驗的財務分析師使用，但對新手不太友好。