Extract & Analyse Company Financials

I have a single company’s financial statements archived as PDFs and I need clear, data-driven answers to two questions: how has the firm’s revenue grown over time, and what has happened to its profit margin along the way?

The task starts with converting the PDF tables into a workable dataset, cleaning any OCR or formatting issues, and structuring the numbers so year-on-year trends are reliable. From there, I want descriptive statistics, visualisations that highlight revenue as well as gross and net profit, and a concise narrative explaining the drivers behind any major shifts you uncover.

Please use whichever toolchain you are most comfortable with—Python (pandas, tabula, Camelot), R (tidyverse), or even Power BI/Excel—as long as the extraction is accurate and the analysis reproducible.

Deliverables
• A tidy CSV or Excel file that mirrors the figures in the original PDFs
• A short report (PDF or notebook) covering methodology, key findings on revenue and profit, and at least three clear charts
• The code or documented steps so I can rerun the process if future statements arrive

I’m available to clarify the PDF layout or answer questions about the company’s reporting periods as you get started.