Study guide
21.2 Substantive Analytical Procedures
Uniform CPA Examination Exam
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1 Chapter 1: CPA Exam Structure and Licensure Rules
1.1 CPA Evolution Model 1.2 Eligibility, Credit Window, and Scheduling Rules 1.3 Scoring, Pass Rates, and Blueprints
2 Chapter 2: CPA Scoring, Interface, and Exam Strategy
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3 Chapter 3: AUD Ethics, Independence, and Engagement Acceptance
3.1 Professional Responsibilities and Independence 3.2 Engagement Acceptance and Continuance 3.3 Audit Documentation and Quality Management 3.4 Audit Risk Foundations
4 Chapter 4: AUD Risk Assessment, Controls, and Evidence
4.1 Assertions and Risk Assessment 4.2 Internal Control Design and Operating Effectiveness 4.3 Substantive Procedures and Audit Evidence 4.4 Sampling, Analytics, and Estimates
5 Chapter 21: AUD Sampling, Analytics, and Accounting Estimates
21.1 Audit Sampling Risk and Sample Design 21.2 Substantive Analytical Procedures 21.3 Estimates, Fair Value, and Specialists 21.4 Data Analytics, Exceptions, and Follow-Up
6 Chapter 22: AUD Integrated Audits, IT Controls, and SOC Reliance
22.1 ICFR Integrated Audit Framework 22.2 IT General Controls and Application Controls 22.3 Service Organizations, SOC Reports, and CUECs 22.4 Control Deficiencies and Material Weaknesses
7 Chapter 5: AUD Reporting, Attestation, and Review Engagements
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8 Chapter 36: AUD Workbook - From Risk to Report
36.1 Risk-Assertion-Procedure Drill 36.2 Evidence Reliability Drill 36.3 Control Deficiency Classification Drill 36.4 Report Modification Decision Drill
9 Chapter 6: FAR Financial Statements and Reporting Framework
6.1 Conceptual Framework and Standard Setting 6.2 Financial Statement Presentation 6.3 Cash Flow Statement and Disclosures 6.4 Not-for-Profit Reporting Basics
10 Chapter 7: FAR Balance Sheet Accounts and Rollforwards
7.1 Cash, Receivables, and Reconciliations 7.2 Inventory and Cost Flow Errors 7.3 Property, Equipment, and Intangibles 7.4 Debt, Equity, and Contingencies
11 Chapter 8: FAR Selected Transactions and Measurement Models
8.1 Revenue Recognition: Five-Step Model 8.2 Leases, Income Taxes, and Impairment 8.3 Business Combinations and Consolidations 8.4 Accounting Changes, Errors, and Subsequent Events
12 Chapter 32: FAR Revenue, Leases, and Income Taxes Deep Dive
32.1 Revenue Contract Modifications and Variable Consideration 32.2 Lease Classification and Lessee Accounting 32.3 Deferred Tax Assets, Liabilities, and Valuation Allowances 32.4 Simulation Workflows for Revenue, Lease, and Tax Exhibits
13 Chapter 31: FAR Financial Instruments, Fair Value, and Derivatives
31.1 Financial Asset Classification and Measurement 31.2 Fair Value Hierarchy and Disclosures 31.3 Derivatives, Hedge Accounting, and Embedded Features 31.4 Foreign Currency and Comprehensive Income Signals
14 Chapter 24: FAR Consolidations, Equity Method, and Intercompany Workpapers
24.1 Consolidation Decision and Noncontrolling Interest 24.2 Acquisition-Date Measurement and Goodwill 24.3 Equity Method Income, Dividends, and Impairment 24.4 Intercompany Inventory, Debt, and Fixed Asset Eliminations
15 Chapter 9: FAR Governmental Accounting and Fund Reporting
9.1 Governmental Fund Types and Basis 9.2 Government-Wide Statements and Reconciliations 9.3 Budgetary Accounting and Encumbrances 9.4 Governmental and NFP Comparison Traps
16 Chapter 23: FAR Not-for-Profit and Special Reporting Topics
23.1 Not-for-Profit Net Assets and Restrictions 23.2 Contributions, Conditional Gifts, and Agency Transactions 23.3 Functional Expenses and Statement Presentation 23.4 Interim, Segment, and EPS Reporting Traps
17 Chapter 37: FAR Workbook - Journal Entries, Rollforwards, and Reconciliations
Adjusting Entry Workflow Account Rollforward Workflow Reconciliation and Error Correction Drill Statement Presentation Workpaper Drill
18 Chapter 10: REG Tax Procedure, Ethics, and Business Law
10.1 Tax Practice Ethics and Preparer Responsibilities 10.2 IRS Procedure, Statutes, and Penalties 10.3 Contracts, Agency, and Business Entities 10.4 Secured Transactions, Bankruptcy, and Priority
19 Chapter 11: REG Individual Federal Tax Workflows
11.1 Gross Income, Exclusions, and Adjustments 11.2 Filing Status, Dependents, and Deductions 11.3 Credits, Payments, and AMT Concepts 11.4 Retirement, Passive Activity, and Loss Limitations
20 Chapter 12: REG Property Transactions and Entity Taxation
12.1 Basis, Realized Gain, Recognized Gain, and Character 12.2 C Corporations and Shareholder Transactions 12.3 S Corporations, Partnerships, and Basis 12.4 Entity Tax Simulations and K-1 Workflows
21 Chapter 25: REG Entity Choice, Basis, and Owner Tax Consequences
25.1 C Corporation, S Corporation, and Partnership Comparison 25.2 Formation Contributions and Built-In Gain 25.3 Distributions, Redemptions, and Liquidations 25.4 Loss Limits: Basis, At-Risk, and Passive Rules
22 Chapter 26: REG Property Tax, Character, and Deferral Transactions
26.1 Capital, Ordinary, and Section 1231 Character 26.2 Depreciation Recapture and Unrecaptured Gain 26.3 Like-Kind Exchanges, Involuntary Conversions, and Installment Sales 26.4 Related-Party, Wash-Sale, and Imputed-Interest Traps
23 Chapter 33: REG Trusts, Estates, Gifts, and Exempt Organizations
33.1 Trust and Estate Income Tax Basics 33.2 Gift, Estate, and Beneficiary Planning Concepts 33.3 Tax-Exempt Organizations and Unrelated Business Income 33.4 Fiduciary K-1 and Distribution Simulation Workflows
24 Chapter 38: REG Workbook - Tax Return Schedules and Basis Workpapers
38.1 Individual Return Classification Drill 38.2 Property Basis and Character Workpaper 38.3 Pass-through K-1 and Owner Basis Workpaper 38.4 Business Law Issue Spotting Drill
25 Chapter 13: BAR Business Analysis, Economics, and Forecasting
13.1 Financial Statement Analysis and Ratios 13.2 Variance, Forecasting, and Budgeting 13.3 Cost Accounting and Performance Management 13.4 Economics, Finance, and Decision Models
26 Chapter 14: BAR Technical Accounting and Advanced Reporting
14.1 Revenue, Leases, and Complex Arrangements 14.2 Derivatives, Hedges, and Fair Value 14.3 Business Combinations and Consolidations 14.4 SEC Reporting and Public Company Context
27 Chapter 15: BAR State and Local Government Analysis
15.1 Governmental Fund Analysis 15.2 Government-Wide Conversion Workflows 15.3 Budgetary Reconciliation and CAFR/ACFR Reading 15.4 Government Simulation Strategy
28 Chapter 16: ISC Information Systems and Data Management
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29 Chapter 17: ISC Security, Privacy, and SOC Engagements
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30 Chapter 18: TCP Individual Tax Planning and Personal Financial Issues
18.1 Nonroutine Individual Income and Estimated Tax 18.2 Passive, At-Risk, and Investment Planning 18.3 Retirement, Education, and Insurance Planning 18.4 Gift, Estate, and Beneficiary Concepts
31 Chapter 19: TCP Entity Compliance and Planning
19.1 C Corporation Tax Planning 19.2 S Corporation Basis and Distributions 19.3 Partnership Tax Planning and Allocations 19.4 Trusts, Tax-Exempt, and International Signals
32 Chapter 34: TCP International and Advanced Entity Tax Topics
34.1 International Tax Signals and Source of Income 34.2 CFC, Foreign Tax Credit, and Permanent Establishment Concepts 34.3 Consolidated Returns and Affiliated Corporations 34.4 Advanced Partnership and S Corp Planning Scenarios
33 Chapter 35: Choosing and Preparing for BAR, ISC, or TCP
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34 Chapter 39: CPA TBS Research, Authoritative Literature, and Document Review
39.1 Document Review Simulation Method 39.2 Research and Authoritative Literature Workflow 39.3 Exhibit Overload and Relevant Data Selection 39.4 Written Explanation and Professional Judgment Drills
35 Chapter 20: CPA Simulations, Retakes, and Final Review
20.1 TBS Exhibit Triage and Workpaper Method 20.2 Section-Specific Final Review Plans 20.3 Score Release, Retake, and Credit Window Decisions 20.4 Four-Section Study Roadmaps
36 Chapter 40: Discipline Workbook Drills for BAR, ISC, and TCP
40.1 BAR Ratio, Variance, and Government Drill 40.2 ISC Control Evidence and SOC Drill 40.3 TCP Basis Planning and Entity Drill 40.4 Discipline Final Mock and Review Log
21.2 Substantive Analytical Procedures
Key Takeaways Explain This Topic AI
Substantive analytical procedures are evidence-gathering procedures under AU-C 520, not merely planning comparisons or final overall-review procedures.
A substantive analytic is strongest when the auditor builds an independent, precise expectation and sets an acceptable difference before comparing it to the recorded amount.
Suitability depends on the assertion, predictability of the relationship, reliability of the data, and precision of the expectation.
Unexpected differences above the threshold must be investigated with corroborating evidence rather than accepted on management explanation alone.
Final analytical procedures near the end of the audit assess overall consistency but usually do not replace planned substantive tests.
Last updated: June 2026
The Three Roles of Analytical Procedures
The 2026 AUD blueprint asks candidates to decide whether substantive analytical procedures are suitable, perform them by developing an expectation, apply final analytical procedures near the end of the audit, and evaluate differences from expected values. Under AU-C 520, analytical procedures evaluate financial information through plausible relationships among financial and nonfinancial data. They serve three distinct roles:
- Role Timing Requirement Purpose
- Risk-assessment (planning) Beginning Required under AU-C 315 Identify areas of risk
- Substantive Fieldwork Optional procedure choice Obtain evidence on an assertion
- Final overall review Near completion Required under AU-C 520 Confirm statements make sense
The exam frequently tests whether a candidate confuses these. Planning and final-review analytics are mandatory; substantive analytics are one optional way to gather evidence, alongside tests of details.
When a Substantive Analytic Actually Works
A substantive analytic is persuasive only when the auditor can predict the recorded amount with enough precision. Payroll expense is often predictable from headcount, approved wage rates, overtime patterns, and benefit rates. Interest expense is predictable from average debt balances times confirmed contractual rates. Legal-contingency expense is usually not predictable from a ratio because it turns on specific claims and judgments.
- Requirement What the auditor asks Weak-answer signal
- Suitability Does this relationship support the assertion? Using sales growth to prove receivable existence
- Predictability Should the relationship be stable? Applying a trend to volatile one-time items
- Reliable data Can the inputs be trusted? Using an untested management spreadsheet
- Precision Is the acceptable difference tight enough? Explaining away a material variance afterward
- Follow-up Is the variance corroborated? Accepting a verbal explanation only
Suitability is assertion-specific. A gross-margin analysis may flag revenue or inventory-valuation risk, but it rarely proves that individual receivables exist . For high-risk assertions, AU-C 330 generally requires tests of details, not analytics alone.
Building the Expectation and Setting the Threshold
The auditor develops the expectation independently and first , before searching for a way to justify the client's number. Good expectations draw on prior audited results adjusted for known changes, budgets that have themselves been tested for reliability, industry benchmarks, or nonfinancial drivers such as units produced, occupancy, headcount, or loan principal.
The auditor then sets a threshold (acceptable difference) for investigation before comparing to the book amount. The threshold tightens as performance materiality decreases, desired assurance increases, expectation precision improves, and the assessed risk of material misstatement rises. A common quantitative anchor is a fraction of performance materiality. Worked example: expected interest expense is 5% of an average $20,000,000 debt balance, or $1,000,000; performance materiality is $300,000; the auditor sets a $100,000 threshold; recorded interest of $1,180,000 exceeds the threshold and must be investigated, not waved through.
Investigation Workflow
Identify the assertion and decide whether analytics can address it.
Select reliable financial and nonfinancial inputs.
Develop an independent expectation and document the logic.
Define the acceptable difference before comparison.
Compare the expectation to the recorded amount.
Investigate differences above the threshold.
Corroborate management explanations with evidence: contracts, shipping data, payroll records, production reports, or subsequent activity.
Conclude whether the procedure gives sufficient appropriate evidence or whether tests of details are still needed.
The sharpest trap on the exam: a management explanation is not audit evidence by itself. If management says utility cost rose because a new plant opened, the auditor inspects the lease commencement date, utility invoices, meter data, or production records. If management says revenue grew from a new customer, the auditor examines the contract, shipments, cash receipts, and collectability. The auditor also corroborates and quantifies the explanation, then determines whether any unexplained remainder is itself material.
Final Analytics and Simulation Strategy
Final analytical procedures are required near the end of the audit to evaluate whether the financial statements as a whole are consistent with the auditor's understanding of the entity. They may surface a previously unrecognized risk that demands more work, but they generally do not substitute for planned substantive procedures unless they were designed with enough precision and data quality to support a specific assertion.
On AUD task-based simulations, expect exhibits with budgets, trial balances, units, rates, or prior-year data. The disciplined sequence scores points: compute the expectation, compare it to the book amount, isolate the variance, and choose the follow-up evidence that directly addresses the explanation. Watch for distractor answers that (a) accept management's narrative without corroboration, (b) raise materiality to make a variance disappear, or (c) claim analytics are prohibited for an entire account class. None of those are ever the correct AUD response.
Precision and the Disaggregation Trap
Precision improves dramatically with disaggregation . A single annual revenue comparison is imprecise because offsetting movements across months, products, and regions can mask a misstatement. Comparing revenue by month, by product line, or by store against drivers such as units shipped tightens the expectation and raises the chance of detecting a misstatement. The exam tests this directly: given two analytic designs, the more disaggregated and driver-based one provides stronger evidence for the same assertion.
Likewise, an expectation built from data the auditor has independently tested (audited prior-year balances, confirmed rates) is more reliable than one built on unaudited management projections. When the risk of material misstatement is high and the expectation cannot be made precise, AU-C 330 pushes the auditor toward tests of details rather than relying on a blunt year-over-year ratio.