FPAC Part II study materials
FPAC Part II study resources

FPAC Part II study plan

FPAC Part II · Give each week a clear focus.

8 weeks · About 7 hours per week

Week 1

Financial Analysis

  • Build a one-page formula sheet covering ratio categories (liquidity, solvency, profitability, efficiency) from memory, then correct gaps

  • Compute and interpret 15 ratios from at least 3 different financial statements

  • Explain how each ratio category connects to a stated business question

  • Set up a personal error log template for tracking missed concepts

Your checkpoint

Completed formula sheet plus 15 worked ratio calculations with written interpretations

Week 2

Financial Analysis

  • Construct common-size income statements and balance sheets for two periods and identify trend drivers

  • Perform horizontal (year-over-year) analysis and flag material variances

  • Distinguish between changes driven by volume, price, and mix

  • Draft three questions a decision-maker would ask from the trend analysis

Your checkpoint

Two-period common-size and horizontal analysis workbook with a 1-page variance narrative

Week 3

Financial Analysis

  • Build a simple forecast model driven by explicit assumptions and document each assumption

  • Perform sensitivity analysis on two key drivers and summarize the range of outcomes

  • Reconcile forecasted cash flow to forecasted net income

  • Identify and explain at least three limitations of the model

Your checkpoint

Assumption-driven forecast model plus a sensitivity summary table with 2 drivers

Week 4

Financial Analysis & Technology and Data

  • Apply time-value-of-money techniques (NPV, IRR, payback) to a capital decision

  • Evaluate a make-vs-buy or lease-vs-buy scenario and justify a recommendation

  • Describe how data quality issues could distort the analysis in each case

  • Write a decision memo that separates quantitative results from judgment

Your checkpoint

Capital decision memo with NPV/IRR/payback calculations and a stated recommendation

Week 5

Technology and Data

  • Map the end-to-end data lifecycle from source system to reported output

  • Identify control points where errors or manipulation could enter the reporting process

  • Explain the roles of internal controls, segregation of duties, and reconciliation in data integrity

  • Classify 10 sample data issues as accuracy, completeness, timeliness, or validity problems

Your checkpoint

Data lifecycle map with labeled control points and a 10-item data quality classification log

Week 6

Technology and Data

  • Distinguish descriptive, diagnostic, predictive, and prescriptive analytics with a business example for each

  • Explain how ERP, CRM, and BI tools support financial reporting and analysis

  • Describe risks of relying on automated reporting without validation

  • Outline how emerging technologies (automation, AI-assisted analysis) change analyst workflows and controls

Your checkpoint

Analytics-type comparison table with one worked business example per type

Week 7

Financial Analysis & Technology and Data

  • Integrate financial analysis with technology considerations in a single case scenario

  • Recommend a data-driven process improvement and quantify its expected financial impact

  • Identify implementation risks and propose mitigating controls

  • Present findings in a format suitable for a management audience

Your checkpoint

Integrated case presentation deck outline plus a quantified impact estimate for one process improvement

Week 8

Financial Analysis & Technology and Data

  • Re-derive all formulas and key technology concepts from a blank page and correct from the error log

  • Complete timed mixed-domain practice sets and review every miss to root cause

  • Summarize the two weakest areas into a one-page final review sheet

  • Confirm exam-day logistics and build a pacing plan based on domain weights

Your checkpoint

One-page final review sheet plus a scored timed practice log with root-cause notes for every miss

Milestones

Week 2: Can compute and interpret core ratios and complete a two-period common-size analysis without notes

Week 4: Can build an assumption-driven forecast and defend a capital decision with NPV/IRR in a written memo

Week 6: Can explain the data lifecycle, control points, and the four analytics types with original business examples

Week 8: Scores at or above target on timed mixed-domain practice and has root-cause notes for every missed item