FPAC Part I key terms

The practice of examining accounting data and business information to judge profitability, liquidity, solvency, and efficiency, and to support decisions about planning, investment, and performance.

The core reports issued by an organization: statement of financial position, statement of profit or loss, statement of cash flows, and statement of changes in equity, plus explanatory notes.

A report showing what an entity owns, what it owes, and the residual owners' stake at a single date, structured so that assets equal liabilities plus equity.

A report summarizing revenues, expenses, gains, and losses over a period to show operating results, often presented in steps down to gross profit, operating profit, and net profit.

A report classifying cash movements during a period into operating, investing, and financing activities, reconciling opening and closing cash balances.

A technique that expresses relationships between financial statement figures as ratios so trends and comparisons across periods or peers become easier to interpret.

A measure of whether short-term assets can cover obligations falling due soon, commonly expressed as current assets divided by current liabilities or as a quick ratio excluding inventory.

Current assets divided by current liabilities; a value above one suggests short-term obligations can be met from assets expected to convert to cash within a year.

Cash, marketable securities, and receivables divided by current liabilities, excluding inventory, giving a stricter view of immediate debt-paying ability than the current ratio.

A measure relating profit to revenue, assets, or equity, such as gross margin, operating margin, return on assets, or return on equity, used to judge earning power.

Revenue minus cost of goods sold; the amount left to cover operating expenses, interest, and taxes before any other income or expense is considered.

Earnings before interest, taxes, depreciation, and amortization; a rough proxy for operating cash generation that ignores financing choices and non-cash charges.

A measure of how much debt an entity carries relative to equity, assets, or earnings, indicating financial risk and the degree to which outsiders fund the business.

Total debt divided by total equity; a high value means creditors supply more of the funding than owners and that earnings are more sensitive to interest costs.

Operating earnings divided by interest expense; it estimates how many times recurring profit could absorb the period's financing cost before the entity struggles to service debt.

Current assets minus current liabilities; the cushion of short-term resources funding day-to-day operations, affected by inventory, receivables, payables, and cash policies.

The number of days cash is tied up in operations: days inventory outstanding plus days sales outstanding minus days payables outstanding, showing how long funds stay locked in working capital.

Credit sales divided by average receivables, indicating how many times receivables are collected in a period; a higher figure generally means faster cash collection.

Cash generated or used by core business activities, starting from profit and adjusting for non-cash items and changes in working capital, before investing and financing flows.

Operating cash flow minus capital expenditure; the cash available for debt repayment, dividends, buybacks, or reinvestment after maintaining the asset base.

Comparing actual results with budget, forecast, or standard and breaking the difference into causes and components so managers can act on the drivers.

A quantified plan of expected revenues, costs, and resource use for a future period, used to coordinate activities, allocate resources, and later measure performance.

A budget restated for the actual volume of activity achieved, allowing cost comparisons that separate volume effects from price and spending effects.

The sales volume or revenue at which total contribution equals total fixed costs, so the entity reports neither profit nor loss.

Revenue minus variable costs; the amount each sale contributes toward covering fixed costs and then generating profit.

A technique modeling how changes in sales volume, prices, variable costs, and fixed costs affect profit, often using contribution margin and break-even calculations.

The principle that a sum received today is worth more than the same sum later because it can be invested and earn a return, underpinning discounting and compounding.

The sum of expected future cash flows discounted to today at a required rate, minus the initial investment; a positive result suggests the project adds value.

The discount rate at which a project's net present value equals zero; it is compared with a hurdle rate to decide whether to accept an investment.

A valuation method estimating value as the present value of projected future cash flows, requiring explicit assumptions about growth, margins, and the discount rate.

Spending to acquire, build, or improve long-lived assets such as equipment or facilities, recorded as an asset rather than an immediate expense.

The systematic allocation of an asset's depreciable cost over the periods it benefits, reflecting wear, use, or obsolescence without a cash outflow in the period.

Net income divided by average shareholders' equity; it shows the profit generated per unit of owners' capital and rises with leverage as well as with operating improvement.

The policies, roles, and controls that determine who may create, change, and use data, and how its quality, security, and compliance are maintained across the organization.

The degree to which data is accurate, complete, timely, consistent, and fit for its intended use; poor quality undermines analysis and reporting reliability.

Core reference information shared across systems and processes, such as customer, supplier, product, and account records, which must be consistently defined and maintained.

Documentation tracing where data originates, how it is transformed, and where it flows, supporting auditability, impact analysis, and trust in reported results.

Extract, transform, load: a process that pulls data from source systems, cleans and reshapes it, and loads it into a target store such as a warehouse.

An automated sequence that moves and processes data from sources to destinations, including extraction, transformation, validation, and loading steps.

A centralized repository storing integrated, historized data structured for query and reporting, usually fed from operational systems through scheduled loads.

A visual display of key metrics and trends, often refreshed automatically from underlying data, used to monitor performance and support timely decisions.

A measurable value chosen to track progress toward a specific objective, ideally tied to a clear definition, data source, target, and owner.

Presenting data graphically through charts, tables, and maps so patterns, outliers, and comparisons are easier to perceive than in raw numbers.

Combining data, visuals, and narrative to explain findings and persuade an audience, keeping the message focused on the decision rather than on technical detail.

Using historical data and statistical or machine-learning models to estimate future outcomes such as demand, default risk, or revenue, with stated uncertainty.

An estimate of future financial or operational results built from assumptions about drivers, trends, and known events, updated as new information arrives.

Evaluating outcomes under several alternative sets of assumptions, such as base, upside, and downside cases, to understand sensitivity and prepare contingency plans.

Testing how a result changes when one input assumption is varied while others are held constant, revealing which drivers most affect the outcome.

Using software to perform repetitive tasks such as data capture, reconciliation, or report generation with little manual intervention, reducing errors and cycle time.

Software bots that mimic user actions to complete rule-based, repetitive tasks across applications, typically without changing the underlying systems.

Systems that perform tasks associated with human intelligence, such as pattern recognition, language processing, and prediction, usually learned from data rather than explicitly programmed rules.

A branch of artificial intelligence in which algorithms learn patterns from data and improve with experience, used for classification, forecasting, and anomaly detection.

Controls protecting data from unauthorized access, alteration, or loss, including access rights, encryption, monitoring, and backup and recovery arrangements.

The policies, procedures, and system safeguards designed to provide reasonable assurance that operations are effective, reporting is reliable, and laws are followed.

Dividing responsibilities so no single person can both initiate and conceal an error or fraud, for example separating authorization, custody, and recordkeeping.