Turn Quality of Earnings Reports into Structured, Source-Verified Adjustment Tables
Why AI-powered quality of earnings analysis transforms due diligence workflows
Source-Grounded Adjustments
Every QoE adjustment (reported EBITDA, adjustment type, amount, classification, etc.) is linked to the exact line item or sentence in your original due diligence report. Click any cell to see the source context—critical for audit, compliance, and investment confidence.
Structured Data Ready for Systems
Output is a clean table (CSV, Excel, JSON) with all key QoE fields: reported EBITDA, adjustment type, adjustment amount, recurring vs non-recurring classification, and adjusted EBITDA. Directly import to Excel, BI tools, or financial models.
Automatic Field Mapping & Validation
AI identifies and normalizes QoE adjustments even from complex reports—handling varying formats, currencies, and accounting conventions. Reduces manual data entry and eliminates transcription errors.
How to generate a structured quality of earnings table in 4 steps
1. Upload your QoE document
Upload quality of earnings reports, financial due diligence documents, or earnings analyses (PDF, Word, Excel). Scanned PDFs (OCR supported) and text files are also accepted.
2. AI scans for QoE adjustments
Our AI detects reported EBITDA, adjustment type, adjustment amount, recurring vs non-recurring classification, and adjusted EBITDA—using natural language understanding tailored to financial due diligence terminology.
3. Review and verify each adjustment
The generated table displays each adjustment with a 'source' button. Click it to highlight the original line item in your document—ensuring full traceability for audits and quality assurance.
4. Export and integrate
Export as CSV, Excel, or JSON. Directly integrate with Excel, Google Sheets, or BI platforms via API, or copy the structured table into your due diligence workflow.
Built for accuracy, auditability, and speed in due diligence
Extract from complex QoE reports
Handles varying formats—due diligence reports, financial models, earnings analyses, and multi-page PDFs. AI reliably extracts structured adjustments even from inconsistent layouts and footnotes.
Source verification at the adjustment level
Each adjustment—from reported EBITDA to adjusted EBITDA—can be traced back to the original text. Disagree with an extraction? See the exact words that triggered it.
Interactive highlighting in source document
Click any cell in the QoE table and instantly jump to the corresponding line item in your report—perfect for audits, investment committee reviews, and training.
Human-in-the-loop refinement
AI suggests adjustments, but you remain in control. Edit, add, or remove fields before finalizing the table. Merge duplicate entries or correct misinterpreted data with ease.
AI Quality of Earnings Analyzer vs Manual QoE Review
Manual Review
- • Hours of reading lengthy due diligence reports
- • Prone to missed or misread adjustments
- • No traceability to source
- • Spreadsheet errors and inconsistency
Gentables AI Quality of Earnings Analyzer
- ✓ Adjustments extracted in minutes
- ✓ Captures every key adjustment accurately
- ✓ Source-grounded verification
- ✓ Standardized table ready for systems
Who benefits from AI-extracted quality of earnings analysis?
Private Equity & Due Diligence Teams
• Accelerate financial due diligence and QoE review
• Ensure no critical adjustment is overlooked
• Improve consistency across deals
Investment Bankers & M&A Advisors
• Quickly compare QoE adjustments across targets
• Validate EBITDA quality and sustainability
• Reduce manual data entry errors
Corporate Development & FP&A Teams
• Review target company earnings quality
• Benchmark against internal standards
• Support investment committee decisions with traceable data
Frequently Asked Questions about AI Quality of Earnings Analyzer
Stop manual QoE data entry. Analyze with confidence.
