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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


  1. DataCamp Financial Forecasting in Python FINANCIAL FORECASTING IN PYTHON Introduction to the balance sheet Victoria Clark CGMA Financial Analyst

  2. DataCamp Financial Forecasting in Python Types of financial statements

  3. DataCamp Financial Forecasting in Python Assets and liabilities Asset = Economic Resource Can be used to make money Liability = Economic Obligation Usually the obligation to pay something

  4. DataCamp Financial Forecasting in Python Equity equity = assets - liabilities Equity : portion of owner's interest in a property or business # House example house_cost = 100000 down_payment = 20000 mortgage = 80000 tot_equity = house_cost - mortgage # Balance sheet owners_equity = assets - liabilities

  5. DataCamp Financial Forecasting in Python

  6. DataCamp Financial Forecasting in Python

  7. DataCamp Financial Forecasting in Python

  8. DataCamp Financial Forecasting in Python

  9. DataCamp Financial Forecasting in Python FINANCIAL FORECASTING IN PYTHON Let's practice!

  10. DataCamp Financial Forecasting in Python FINANCIAL FORECASTING IN PYTHON Balance sheet efficiency ratios - Part 1 Victoria Clark CGMA Financial Analyst

  11. DataCamp Financial Forecasting in Python

  12. DataCamp Financial Forecasting in Python Debtors and creditors Sell now, get paid later debtors Buy now, pay later creditors

  13. DataCamp Financial Forecasting in Python The debtor days ratio How many days to receive payment from debtors Lower ratio is better Formula: EndingBalanceDebtors Debtor Days = x DaysInFinancialY ear Sales ddays_ratio = (debtors_end/sales_tot) * 365

  14. DataCamp Financial Forecasting in Python Days payable outstanding (DPO ratio) How many days to pay our creditors Higher ratio is better Formula: EndingBalanceCreditors DPO = x DaysInFinancialY ear TotalCostOfGoodsSold dpo = (creditors_end/cogs_tot)*365

  15. DataCamp Financial Forecasting in Python FINANCIAL FORECASTING IN PYTHON Let's practice!

  16. DataCamp Financial Forecasting in Python FINANCIAL FORECASTING IN PYTHON Balance sheet efficiency ratios - Part 2 Victoria Clark CGMA Financial Analyst

  17. 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: AverageInventory DII = x DaysInFinancialY ear TotalCostOfGoodsSold Desired level depends on the industry

  18. DataCamp Financial Forecasting in Python Asset turnover ratio Assets compared to sales generated Highly dependent on the industry Formula: Asset Turnover = Sales TotalAverageAssets Production company : high level of assets & low ratio Tech start up : low level of assets & high ratio

  19. DataCamp Financial Forecasting in Python FINANCIAL FORECASTING IN PYTHON Let's practice!

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