DESCRIPTION 📄
Profitability is a key metric for any business, as profits can be distributed back to shareholders either directly or indirectly. An income statement—also known as a Profit and Loss (P&L) statement—answers high-level questions such as “What was our net profit last year?” while summarizing key revenue (e.g., product revenue) and expense (e.g., R&D) items.
Unlike static reports, a P&L semantic model provides granular detail, enabling users to explore insights such as “How was R&D spending distributed across projects, fiscal periods, or legal entities?” With a well-structured model, users can analyze financials dynamically through Power BI reports, PivotTables, and Excel formulas.
GUEST BIO 👤
Chris Barber is a Chartered Accountant (ACMA, CGMA), four-time Microsoft MVP, and author of Income Statement Semantic Models. He runs StarSchema.co.uk and has created popular YouTube videos (100K+ views) and courses (1K+ participants) focused on building Profit and Loss (P&L) reports in Power BI.
