Drop in any financial statement PDF — audited GAAP balance sheets, income statements, cash flow statements, statements of stockholders' equity, plus 10-K filings, annual reports, and lender financials — and get a clean Excel file with line items, periods, and footnoted breakouts as separate columns.
Convert your first statement — free
GAAP financial statements present multi-period comparatives in narrow columns with footnote references scattered through the page. A typical 10-K balance sheet has 30+ line items across 2 fiscal years, with each line tied to a footnote that breaks it down further. Generic PDF tools lose the period column structure, fragment line items across rows, and miss the footnote linkages entirely.
Analysts building peer comparison models or trend analysis end up retyping line items into Excel from each company's PDF — a half-day per company per period. Pull 10 peer companies for a benchmark and you've burned a week on data entry before any actual analysis happens. Lenders reviewing borrower financials face the same wall.
PDFExcel reads financial statements by structure. Each line item becomes a row with the period columns preserved as separate columns (FY2024, FY2023, FY2022 for a typical 10-K). Footnote references get pulled into a Notes column so you can see which line ties to which note. Balance sheets, income statements, cash flow statements, and stockholders' equity statements all extract with the same workflow.
Mix multiple companies' financials in one batch upload — the workbook keeps each row tagged with company name and statement type, ready for peer-comparison pivot tables. Built-in OCR handles scanned statements (lender financials still arrive scanned in many SMB lending workflows). Drop the export into your DCF model, comp set, or audit workpaper.
The model knows that 'Cash and Cash Equivalents' aggregates 'Cash' + 'Money Market Securities' as a sub-total, and that a footnote 'See Note 7' on a line item links to a detailed breakout. Trained on real audited GAAP statements, not generic spreadsheets.
Most financial-statement-extraction tools either need a paid subscription to a data vendor (Capital IQ, FactSet) or charge per-page at analyst volume. PDFExcel reads any company's PDF directly — no vendor coverage gaps.
Each line item is a row; each fiscal period is a column. Sub-totals flagged. Footnote references preserved.
| # | Statement | Line Item | FY2024 | FY2023 | FY2022 | Note Ref |
|---|---|---|---|---|---|---|
| 1 | Balance Sheet | Cash and Cash Equivalents | $284.2M | $211.8M | $148.4M | Note 4 |
| 2 | Balance Sheet | Accounts Receivable, net | $186.4M | $162.1M | $148.9M | Note 5 |
| 3 | Balance Sheet | Total Current Assets | $612.8M | $498.4M | $412.7M | — |
| 4 | Balance Sheet | Goodwill | $1,248.0M | $1,248.0M | $1,184.2M | Note 8 |
| 5 | Balance Sheet | Total Assets | $2,894.6M | $2,612.4M | $2,318.8M | — |
| 6 | Balance Sheet | Long-term Debt | $840.0M | $920.0M | $1,000.0M | Note 11 |
Equity research analysts building peer-comp models, credit analysts reviewing borrower financials, M&A associates running diligence, FP&A teams pulling peer benchmarks, audit firms preparing analytical-review workpapers.
Pulls 10-K data for 8 peer companies in a sector for a comp model. Convert all 8 in one batch, pivot into a side-by-side comp table. What used to be a 2-day data-entry job is 90 minutes of structured extraction + analysis.
Reviews borrower financials for a $25M credit facility. Audited statements arrive as scanned PDFs. Convert to Excel with line items + periods, drop into the bank's credit-decision model.
Target company provides 5 years of financials in PDFs from their auditor. Convert all 5 years × 3 statements (BS/IS/CF) as one batch into a single workbook for the diligence model.
Yes. Each fiscal period (FY2024, FY2023, FY2022) extracts as its own column. Line items are rows. The natural orientation matches how analysts build comp tables and trend analyses.
Yes. Footnote references ('See Note 7' or 'Note 11') stay attached to their line items in a Notes column. The actual footnote detail page is read but not auto-merged into the main table — that's a separate workflow if you need full footnote breakouts.
Yes. Built-in OCR runs automatically. Lender-provided financials, audited statements scanned to PDF, and faxed copies all extract with the same workflow.
Yes for IFRS — most line-item naming conventions overlap with GAAP and the model adapts. Non-GAAP supplemental disclosures (adjusted EBITDA, organic revenue, etc.) extract as separate fields you can include in your custom analysis.
Yes — both. Most analysts upload just the financial-statement section of a 10-K (typically 5-15 pages); the full 10-K works too, but processing takes longer. We recommend extracting the financial-statement section separately for fastest turnaround.