IT496_ViktoriiaO_Assignment5_DuPontAnalysis_Nvidia.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "IT496_ViktoriiaO_Assignment5_DuPontAnalysis_Nvidia.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyMW0Ja7GVNRfFi4gJszKXj+",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/vovsiienko/IT496_Course_acitvities/blob/master/IT496_ViktoriiaO_Assignment5_DuPontAnalysis_Nvidia.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KB2HfLt3h2Px",
        "outputId": "4a894e5a-aed8-4f97-8aa2-b45d9fe73cfe"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[{'date': '2022-01-30', 'symbol': 'NVDA', 'reportedCurrency': 'USD', 'cik': '0001045810', 'fillingDate': '2022-03-18', 'acceptedDate': '2022-02-16', 'calendarYear': '2022', 'period': 'FY', 'cashAndCashEquivalents': 1990000000, 'shortTermInvestments': 19218000000, 'cashAndShortTermInvestments': 21208000000, 'netReceivables': 4650000000, 'inventory': 2605000000, 'otherCurrentAssets': 366000000, 'totalCurrentAssets': 28829000000, 'propertyPlantEquipmentNet': 3607000000, 'goodwill': 4349000000, 'intangibleAssets': 2339000000, 'goodwillAndIntangibleAssets': 6688000000, 'longTermInvestments': 266000000, 'taxAssets': 1222000000, 'otherNonCurrentAssets': 3575000000, 'totalNonCurrentAssets': 15358000000, 'otherAssets': 0.0, 'totalAssets': 44187000000, 'accountPayables': 1783000000, 'shortTermDebt': 0.0, 'taxPayables': 0.0, 'deferredRevenue': 300000000, 'otherCurrentLiabilities': 2252000000, 'totalCurrentLiabilities': 4335000000, 'longTermDebt': 11687000000, 'deferredRevenueNonCurrent': 202000000, 'deferredTaxLiabilitiesNonCurrent': 245000000, 'otherNonCurrentLiabilities': 1106000000, 'totalNonCurrentLiabilities': 13240000000, 'otherLiabilities': 0.0, 'capitalLeaseObligations': 741000000, 'totalLiabilities': 17575000000, 'preferredStock': 0.0, 'commonStock': 3000000.0, 'retainedEarnings': 16235000000, 'accumulatedOtherComprehensiveIncomeLoss': -11000000, 'othertotalStockholdersEquity': 10385000000, 'totalStockholdersEquity': 26612000000, 'totalLiabilitiesAndStockholdersEquity': 44187000000, 'minorityInterest': 0, 'totalEquity': 26612000000, 'totalLiabilitiesAndTotalEquity': 44187000000, 'totalInvestments': 19484000000, 'totalDebt': 11687000000, 'netDebt': 9697000000, 'link': 'https://www.sec.gov/Archives/edgar/data/1045810/000104581022000036/0001045810-22-000036-index.htm', 'finalLink': 'https://www.sec.gov/Archives/edgar/data/1045810/000104581022000036/nvda-20220130.htm'}, {'date': '2021-01-31', 'symbol': 'NVDA', 'reportedCurrency': 'USD', 'cik': '0001045810', 'fillingDate': '2021-02-26', 'acceptedDate': '2021-02-26 17:03:14', 'calendarYear': '2021', 'period': 'FY', 'cashAndCashEquivalents': 847000000, 'shortTermInvestments': 10714000000, 'cashAndShortTermInvestments': 11561000000, 'netReceivables': 2429000000, 'inventory': 1826000000, 'otherCurrentAssets': 239000000, 'totalCurrentAssets': 16055000000, 'propertyPlantEquipmentNet': 2856000000, 'goodwill': 4193000000, 'intangibleAssets': 2737000000, 'goodwillAndIntangibleAssets': 6930000000, 'longTermInvestments': 144000000, 'taxAssets': 806000000, 'otherNonCurrentAssets': 2000000000, 'totalNonCurrentAssets': 12736000000, 'otherAssets': 0.0, 'totalAssets': 28791000000, 'accountPayables': 1201000000, 'shortTermDebt': 1120000000, 'taxPayables': 61000000, 'deferredRevenue': 288000000, 'otherCurrentLiabilities': 1316000000, 'totalCurrentLiabilities': 3925000000, 'longTermDebt': 5964000000, 'deferredRevenueNonCurrent': 163000000, 'deferredTaxLiabilitiesNonCurrent': 241000000, 'otherNonCurrentLiabilities': 1605000000, 'totalNonCurrentLiabilities': 7973000000, 'otherLiabilities': 0.0, 'capitalLeaseObligations': 755000000, 'totalLiabilities': 11898000000, 'preferredStock': 0.0, 'commonStock': 1000000.0, 'retainedEarnings': 18908000000, 'accumulatedOtherComprehensiveIncomeLoss': 19000000, 'othertotalStockholdersEquity': -2035000000, 'totalStockholdersEquity': 16893000000, 'totalLiabilitiesAndStockholdersEquity': 28791000000, 'minorityInterest': 0, 'totalEquity': 16893000000, 'totalLiabilitiesAndTotalEquity': 28791000000, 'totalInvestments': 10858000000, 'totalDebt': 7084000000, 'netDebt': 6237000000, 'link': 'https://www.sec.gov/Archives/edgar/data/1045810/000104581021000010/0001045810-21-000010-index.htm', 'finalLink': 'https://www.sec.gov/Archives/edgar/data/1045810/000104581021000010/nvda-20210131.htm'}, {'date': '2020-01-26', 'symbol': 'NVDA', 'reportedCurrency': 'USD', 'cik': '0001045810', 'fillingDate': '2020-02-20', 'acceptedDate': '2020-02-20 16:38:18', 'calendarYear': '2020', 'period': 'FY', 'cashAndCashEquivalents': 10896000000, 'shortTermInvestments': 1000000.0, 'cashAndShortTermInvestments': 10897000000, 'netReceivables': 1657000000, 'inventory': 979000000, 'otherCurrentAssets': 157000000, 'totalCurrentAssets': 13690000000, 'propertyPlantEquipmentNet': 2292000000, 'goodwill': 618000000, 'intangibleAssets': 49000000, 'goodwillAndIntangibleAssets': 667000000, 'longTermInvestments': 0.0, 'taxAssets': 29000000, 'otherNonCurrentAssets': 637000000, 'totalNonCurrentAssets': 3625000000, 'otherAssets': 0.0, 'totalAssets': 17315000000, 'accountPayables': 687000000, 'shortTermDebt': 91000000, 'taxPayables': 61000000, 'deferredRevenue': 548000000, 'otherCurrentLiabilities': 458000000, 'totalCurrentLiabilities': 1784000000, 'longTermDebt': 1991000000, 'deferredRevenueNonCurrent': 0.0, 'deferredTaxLiabilitiesNonCurrent': 0.0, 'otherNonCurrentLiabilities': 1336000000, 'totalNonCurrentLiabilities': 3327000000, 'otherLiabilities': 0.0, 'capitalLeaseObligations': 652000000, 'totalLiabilities': 5111000000, 'preferredStock': 0.0, 'commonStock': 1000000.0, 'retainedEarnings': 14971000000, 'accumulatedOtherComprehensiveIncomeLoss': 1000000.0, 'othertotalStockholdersEquity': -2769000000, 'totalStockholdersEquity': 12204000000, 'totalLiabilitiesAndStockholdersEquity': 17315000000, 'minorityInterest': 0, 'totalEquity': 12204000000, 'totalLiabilitiesAndTotalEquity': 17315000000, 'totalInvestments': 0.0, 'totalDebt': 2082000000, 'netDebt': -8814000000, 'link': 'https://www.sec.gov/Archives/edgar/data/1045810/000104581020000010/0001045810-20-000010-index.html', 'finalLink': 'https://www.sec.gov/Archives/edgar/data/1045810/000104581020000010/nvda-2020x10k.htm'}]\n"
          ]
        }
      ],
      "source": [
        "import requests\n",
        "import seaborn as sns\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "myAPIKey = '6e7abf1b234f34338f72bf5742f79107'\n",
        "\n",
        "#NVIDIA\n",
        "stock = 'NVDA'\n",
        "\n",
        "balanceStatements = requests.get (f\"https://financialmodelingprep.com/api/v3/balance-sheet-statement/{stock}?apikey={myAPIKey}\").json()\n",
        "                                  \n",
        "incomeStatements = requests.get (f\"https://financialmodelingprep.com/api/v3/income-statement/{stock}?apikey={myAPIKey}\").json()\n",
        "                                 \n",
        "print (balanceStatements[:3])"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#the numbers from the three most recent years\n",
        "threeYearBalanceStatements = balanceStatements[:3]\n",
        "threeYearIncomeStatements = incomeStatements[:3]"
      ],
      "metadata": {
        "id": "DxeVAu14kaRv"
      },
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#calculate profitability, assesTurnOver, and capitaStructure\n",
        "#this is net income/sales - first fraction in DuPont analysis framework\n",
        "profitability=[]\n",
        "#this is net sales/assests - second fraction\n",
        "assetTurnOver=[]\n",
        "#this is assests/avg. shareholders equity  - third fraction\n",
        "capitalStructure=[]\n",
        "#the result of DuPontAnalysis\n",
        "returnOnEquity = []\n",
        "#dates\n",
        "dates = []\n",
        "\n",
        "#getting details\n",
        "for i in range (0,3):\n",
        "  #datesValue =threeYearBalanceStatements[i]['date']\n",
        "  #dates.append(datesValue)\n",
        "\n",
        "  dates.append(threeYearBalanceStatements[i]['date'])\n",
        "\n",
        "  profitabilityValue=round((threeYearIncomeStatements[i]['netIncome']/threeYearIncomeStatements[i]['revenue']),2)\n",
        "  profitability.append(profitabilityValue)\n",
        "  \n",
        "  assetTurnOverValue=round((threeYearIncomeStatements[i]['revenue']/threeYearBalanceStatements[i]['totalAssets']),2)\n",
        "  assetTurnOver.append(assetTurnOverValue)\n",
        "\n",
        "  capitalStructureValue=round((threeYearBalanceStatements[i]['totalAssets']/threeYearBalanceStatements[i]['totalStockholdersEquity']),2)\n",
        "  capitalStructure.append(capitalStructureValue)\n",
        "\n",
        "  returnOnEquityValue=round((profitabilityValue*assetTurnOverValue*capitalStructureValue),2)\n",
        "  returnOnEquity.append(returnOnEquityValue)\n",
        "\n",
        "print(returnOnEquity)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NLUESy6mkzaQ",
        "outputId": "982541e3-09c3-4ce5-a9a3-ce30a4a98712"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[0.36, 0.26, 0.23]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FNZsPOgSD4F2",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "1d6f217a-c38e-476d-d4b3-bccbb6e33736"
      },
      "source": [
        "from numpy.ma.core import sort\n",
        "from datetime import date\n",
        "from pandas.core.arrays import datetimes\n",
        "DuPontDF = pd.DataFrame(columns=['date','profitability', 'assetTurnOver', 'capitalStructure', 'returnOnEquity'])\n",
        "\n",
        "DuPontDF['date']=dates\n",
        "DuPontDF['profitability']=profitability\n",
        "DuPontDF['assetTurnOver']=assetTurnOver\n",
        "DuPontDF['capitalStructure']=capitalStructure\n",
        "DuPontDF['returnOnEquity']=returnOnEquity\n",
        "\n",
        "DuPontDF = DuPontDF.sort_values(by='date', ascending=True)\n",
        "\n",
        "print(DuPontDF)"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "         date  profitability  assetTurnOver  capitalStructure  returnOnEquity\n",
            "2  2020-01-26           0.26           0.63              1.42            0.23\n",
            "1  2021-01-31           0.26           0.58              1.70            0.26\n",
            "0  2022-01-30           0.36           0.61              1.66            0.36\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "DuPontDF.plot(x='date', y='returnOnEquity', kind='line')\n",
        "plt.title('DuPont Analysis - NVIDIA')\n",
        "plt.xlabel('Date')\n",
        "plt.ylabel('Return On Equity')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        },
        "id": "MFl1G0AQ1HsV",
        "outputId": "ad850842-f03f-41cc-94fd-6e4234ea9b29"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fig, axs = plt.subplots(2,2, figsize=(10,10))\n",
        "#set x for all them\n",
        "x=DuPontDF['date']\n",
        "\n",
        "#top left\n",
        "axs[0,0].plot(x,DuPontDF['profitability'],'tab:green')\n",
        "axs[0,0].set_title('profitability')\n",
        "\n",
        "#top right\n",
        "axs[0,1].plot(x,DuPontDF['assetTurnOver'])\n",
        "axs[0,1].set_title('assetTurnOver')\n",
        "\n",
        "#bottom left\n",
        "axs[1,0].plot(x,DuPontDF['capitalStructure'], 'tab:purple')\n",
        "axs[1,0].set_title('capitalStructure')\n",
        "\n",
        "#bottom right\n",
        "axs[1,1].plot(x,DuPontDF['returnOnEquity'], 'tab:red')\n",
        "axs[1,1].set_title('returnOnEquity')\n",
        "\n",
        "fig.tight_layout()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 729
        },
        "id": "_0deaaQE29oA",
        "outputId": "d5998b83-1109-462f-c581-31cac98c99be"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x720 with 4 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}