Introduction to the balance sheet Victoria Clark CGMA Financial - - PowerPoint PPT Presentation

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Introduction to the balance sheet Victoria Clark CGMA Financial - - PowerPoint PPT Presentation

DataCamp Financial Forecasting in Python FINANCIAL FORECASTING IN PYTHON Introduction to the balance sheet Victoria Clark CGMA Financial Analyst DataCamp Financial Forecasting in Python Types of financial statements DataCamp Financial


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DataCamp Financial Forecasting in Python

Introduction to the balance sheet

FINANCIAL FORECASTING IN PYTHON

Victoria Clark

CGMA Financial Analyst

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DataCamp Financial Forecasting in Python

Types of financial statements

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Assets and liabilities

Asset = Economic Resource Can be used to make money Liability = Economic Obligation Usually the obligation to pay something

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Equity

Equity: portion of owner's interest in a property or business

equity = assets - liabilities # House example house_cost = 100000 down_payment = 20000 mortgage = 80000 tot_equity = house_cost - mortgage # Balance sheet

  • wners_equity = assets - liabilities
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DataCamp Financial Forecasting in Python

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DataCamp Financial Forecasting in Python

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DataCamp Financial Forecasting in Python

Let's practice!

FINANCIAL FORECASTING IN PYTHON

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DataCamp Financial Forecasting in Python

Balance sheet efficiency ratios - Part 1

FINANCIAL FORECASTING IN PYTHON

Victoria Clark

CGMA Financial Analyst

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DataCamp Financial Forecasting in Python

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DataCamp Financial Forecasting in Python

Debtors and creditors

Sell now, get paid later

debtors

Buy now, pay later

creditors

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The debtor days ratio

How many days to receive payment from debtors Lower ratio is better Formula: Debtor Days = x DaysInFinancialY ear

Sales EndingBalanceDebtors

ddays_ratio = (debtors_end/sales_tot) * 365

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Days payable outstanding (DPO ratio)

How many days to pay our creditors Higher ratio is better Formula: DPO = x DaysInFinancialY ear

TotalCostOfGoodsSold EndingBalanceCreditors

dpo = (creditors_end/cogs_tot)*365

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DataCamp Financial Forecasting in Python

Let's practice!

FINANCIAL FORECASTING IN PYTHON

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DataCamp Financial Forecasting in Python

Balance sheet efficiency ratios - Part 2

FINANCIAL FORECASTING IN PYTHON

Victoria Clark

CGMA Financial Analyst

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DataCamp Financial Forecasting in Python

Days in inventory

The inventory question: How much stock is too little, and how much is too much? How many days to sell our inventory Days in inventory ratio: DII = x DaysInFinancialY ear Desired level depends on the industry

TotalCostOfGoodsSold AverageInventory

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Asset turnover ratio

Assets compared to sales generated Highly dependent on the industry Formula: Asset Turnover = Production company: high level of assets & low ratio Tech start up: low level of assets & high ratio

TotalAverageAssets Sales

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DataCamp Financial Forecasting in Python

Let's practice!

FINANCIAL FORECASTING IN PYTHON