Advanced
Quality of Earnings (QoE) adjustments schedule and narrative
Builds a QoE bridge from reported EBITDA to adjusted EBITDA and drafts the narrative support. Useful for M&A diligence teams and buyer decision-making.
Prepare a Quality of Earnings (QoE) analysis for {target_name} for {periods_covered}.
Inputs:
- Income statement detail: {income_statement_detail}
- Management add-backs list: {management_addbacks}
- Nonrecurring/unusual items evidence: {nonrecurring_evidence}
- Accounting policy notes: {accounting_policies}
- Revenue and margin by segment: {segment_data}
Output:
1) EBITDA bridge table: Reported โ adjustments โ Adjusted EBITDA (with evidence references).
2) Adjustment detail table: item, amount, recurring? (Y/N), buyer view, support needed.
3) Narrative summary (key drivers, risks, sustainability).
4) Follow-up data requests and questions.
Be skeptical and evidence-driven.Related Prompts
Advisory & Consulting
BeginnerClient update email for advisory engagement (status, next steps)
Drafts a polished client status update email with progress, blockers, and next steps. Useful for consultants maintaining client confidence and alignment.
GPT-5.2 Thinking; GPT-4.1; o3-mini
0
0
2
Advisory & Consulting
AdvancedDCF valuation model blueprint with assumptions checklist
Outlines a DCF model structure, key assumptions, and validation checks. Useful for valuation analysts producing defensible valuations for boards, investors, or disputes.
GPT-5.2 Thinking; GPT-4.1; o3-mini
0
0
2
Advisory & Consulting
AdvancedMarket multiples valuation: peer set screening and adjustments
Creates a peer screening framework and calculates valuation multiples with normalization adjustments. Useful for quick valuation triangulation and fairness work.
GPT-5.2 Thinking; GPT-4.1; o3-mini
0
0
2