Hitung laba bersih

Salah satu kegunaan laporan laba rugi adalah untuk mengetahui berapa banyak laba (yang juga disebut laba bersih) yang dihasilkan perusahaan. Pada latihan ini, Anda akan menghitung laba bersih sebuah perusahaan.

Dalam latihan ini, total_revenue, depreciation, dan cost_of_goods_sold sudah dimuat untuk Anda. Anda akan menghitung pendapatan sebelum pajak menggunakan komponen tersebut. Lalu, dengan asumsi tarif pajak 5%, Anda akan menghitung laba bersih, yaitu pendapatan setelah pajak.

Latihan ini adalah bagian dari kursus

Menganalisis Laporan Keuangan dengan Python

Petunjuk latihan

Hitung pendapatan sebelum pajak.
Dengan asumsi tarif pajak 5%, hitung laba bersih.

Latihan interaktif praktis

Cobalah latihan ini dengan menyelesaikan kode contoh berikut.

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)

Edit dan Jalankan Kode

Latihan ini adalah bagian dari kursus

Menganalisis Laporan Keuangan dengan Python

SkillTag.level.intermediateSkillTag.label

4.7+

Mulai Kursus Gratis

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: Pengantar laporan laba rugi Exercise 2: Hitung laba bersih

Latihan Saat Ini

Exercise 3: Menghitung rasio dari laporan laba rugi Exercise 4: Rasio dari laporan laba rugi dan neraca Exercise 5: Memperbarui fungsi buatan pengguna Exercise 6: Memutakhirkan fungsi buatan pengguna untuk melakukan pengurangan Exercise 7: Menghitung rasio dengan fungsi yang didefinisikan pengguna Exercise 8: Menghitung beberapa rasio dengan fungsi yang ditentukan pengguna Exercise 9: Memvisualisasikan rasio untuk analisis dalam perusahaan Exercise 10: Memplot rasio Exercise 11: Memplot rasio dalam satu gambar

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!