FPAC Part I study materials
FPAC Part I study resources

FPAC Part I study guide

FPAC Part I · Work through your exam, one topic at a time.

The Certified Corporate Financial Planning and Analysis Professional (FPAC) is a credential established and administered by the Association for Financial Professionals (AFP), which describes itself as the certifying body in treasury and finance and states that it set up the CTP and FPAC credentials to set the standard of excellence in the profession globally. The FPAC is aimed at corporate FP&A practitioners - the AFP frames credential holders as financial experts and trusted advisors to the business, and describes earning and maintaining the credential as confirmation of commitment to the profession and a signal that the holder is ready to drive FP&A and the organization forward. AFP's published FP&A topic areas are Financial Analysis and Technology and Data, which is the coverage this Part I practice set follows. Preparation should be built around those two domains: ratio and variance work, forecasting and budgeting mechanics, cost and profitability analysis, plus data quality, modeling, reporting, and systems fluency. The FPAC Part I study guide has 2 sections and about 674 words.

01

Financial Analysis

Financial analysis on the FPAC exam centers on reading the three statements as one integrated system. A candidate must be fluent in ratio families (liquidity, solvency/leverage, activity/efficiency, profitability, and market valuation), the cash conversion cycle, working-capital management, time value of money, capital budgeting metrics (NPV, IRR, payback, discounted payback, profitability index), cost of capital (WACC), and basic variance and break-even analysis.

328 words, about 2 min
02

Technology and Data

This domain tests how financial professionals use systems and data rather than deep programming. Expect coverage of the finance technology stack (ERP, general ledger, EPM/consolidation tools, data warehouses, BI and visualization layers), data governance and quality dimensions (accuracy, completeness, timeliness, consistency, validity, uniqueness), the data lifecycle (capture, validation, storage, transformation, reporting, retention), and controls over spreadsheets and automated interfaces.

346 words, about 2 min