Calcola l'utile netto

Uno degli usi del conto economico è capire quanti profitti (anche detti utile netto) sta generando l'azienda. In questo esercizio calcolerai l'utile netto di un'azienda.

In questo esercizio, total_revenue, depreciation e cost_of_goods_sold sono già stati caricati per te. Userai questi valori per calcolare il reddito ante imposte. Poi, assumendo un'aliquota fiscale del 5%, calcolerai l'utile netto, cioè il reddito dopo le imposte.

Questo esercizio fa parte del corso

Analizzare i bilanci con Python

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Istruzioni dell'esercizio

Calcola il reddito ante imposte.
Assumendo un'aliquota fiscale del 5%, calcola l'utile netto.

Esercizio pratico interattivo

Prova a risolvere questo esercizio completando il codice di esempio.

depreciation = 260
total_revenue = 3640
cost_of_goods_sold = 460

# Compute income before taxes
income_before_taxes = ____

# Compute income after taxes
net_income = ____

print(net_income)

Modifica ed esegui il codice

Questo esercizio fa parte del corso

Analizzare i bilanci con Python

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In this chapter, you will learn how to read and interpret a balance sheet and compute and use financial ratios to evaluate a company's performance using information from the balance sheet. Additionally, you'll gain hands-on experience using the powerful pandas data manipulation package to analyze a company's financial ratios and compare them to its peers in the industry.

Exercise 1: Introduction to the balance sheet Exercise 2: Match balance sheet items to their class Exercise 3: Relation of assets, liabilities, and shareholders' equity Exercise 4: Practice using the main equation of accounting Exercise 5: Financial ratios from the balance sheet Exercise 6: Match the ratio to its family Exercise 7: Compute the current ratio Exercise 8: Leverage ratios Exercise 9: Computing financial ratios using pandas Exercise 10: Compute current and debt-to-equity ratios Exercise 11: Compute relative difference by industry Exercise 12: Compute ratios by industry

In this chapter, you'll learn how to read and interpret an income statement, calculate key financial ratios, and even create your own functions in Python to automate repetitive tasks. You'll also gain experience using seaborn, a powerful data visualization library, to produce figures to help you understand a company's financial performance.

Exercise 1: Introduzione al conto economico Exercise 2: Calcola l'utile netto

Esercizio in corso

Exercise 3: Calcolare i rapporti dal conto economico Exercise 4: Indici dal conto economico e dallo stato patrimoniale Exercise 5: Aggiornare la funzione definita dall'utente Exercise 6: Aggiornare la funzione definita dall'utente per eseguire una sottrazione Exercise 7: Calcolare i rapporti con una funzione definita dall'utente Exercise 8: Calcolare più indicatori con la funzione definita dall'utente Exercise 9: Visualizzare gli indici per l’analisi interna all’azienda Exercise 10: Rappresentare i rapporti Exercise 11: Rappresentare i rapporti in un’unica figura

In this chapter, you’ll analyze the cash flow statement and use its information to compute and interpret financial ratios. Using Seaborn to create informative plots that compare financial ratios across different companies, you'll build on your existing knowledge of Python and data visualization. By the end of this chapter, you'll have the skills to extract insights from cash flow statements using Python and handle messy, real-world data sets with missing data.

Exercise 1: Cash flow statement Exercise 2: Assign cash flow entries to the correct part Exercise 3: Compute net cash flow Exercise 4: Financial ratios from the cash flow statement Exercise 5: Merging financial statements Exercise 6: Compute cash flow statement ratios Exercise 7: Imputing and filling in missing values using averages Exercise 8: Imputing missing values with percentiles Exercise 9: Merging financial statements and filling missing values Exercise 10: Visualizing financial ratios for comparison Exercise 11: Plotting cash flow ratios

In this chapter, you'll learn about the different financial ratios that measure a company's profitability, how to compute them, and how to compare them across other companies. You'll build upon your knowledge of the Seaborn library to create visualizations that help you analyze profitability ratios and identify trends.

Exercise 1: A glimpse into the financial ratios of some industries Exercise 2: Using margins in pivot tables and making a bar plot Exercise 3: Preparing data for a facet grid plot Exercise 4: Making a facet grid plot Exercise 5: User-defined function to make plots Exercise 6: Profitability metrics Exercise 7: Relationship between operating margin and debt-to-equity for real estate companies Exercise 8: Practice with sns.regplot()Exercise 9: Updating the user-defined function for plotting Exercise 10: More on analyzing profitability Exercise 11: Practice making heat maps Exercise 12: Broad analysis Exercise 13: Well done!