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</style> |
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</head> |
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<body> |
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<div class="container"> |
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<header> |
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<h1>📊 RubikBench Financial Analysis Report</h1> |
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<p class="subtitle">Comprehensive Financial Database Statistics & Visualization</p> |
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<div class="report-meta"> |
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<div class="meta-item">📁 Database: RubikBench v0.9.1</div> |
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<div class="meta-item">📆 Data Period: 202001 - 202512</div> |
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<div class="meta-item">💰 Currency: USD | Caliber: A</div> |
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</div> |
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</header> |
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<div class="section"> |
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<h2>📑 Table of Contents</h2> |
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<div class="toc"> |
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<ul> |
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<li><a href="#overview">1. Database Overview</a></li> |
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<li><a href="#hierarchies">2. Entity Hierarchies</a></li> |
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<li><a href="#revenue">3. Revenue Analysis</a></li> |
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<li><a href="#topn">4. Top Performers</a></li> |
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<li><a href="#profitability">5. Profitability Analysis</a></li> |
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<li><a href="#yoy">6. Year-over-Year Analysis</a></li> |
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<li><a href="#budget">7. Budget & Forecast</a></li> |
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<li><a href="#sales">8. Sales Ledger Analysis</a></li> |
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<li><a href="#geographical">9. Geographical Analysis</a></li> |
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<li><a href="#metrics">10. Additional Financial Metrics</a></li> |
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<li><a href="#conclusions">11. Executive Summary & Conclusions</a></li> |
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</ul> |
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</div> |
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<div class="data-note"> |
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<strong>⚠️ Data Note:</strong> All monetary values are in <strong>USD (US Dollar)</strong> using <strong>Caliber A</strong> |
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(standard accounting separation of equipment and service revenues). This ensures no duplication from |
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currency/caliber combinations. |
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</div> |
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</div> |
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<div class="section" id="overview"> |
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<h2>1. Database Overview</h2> |
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<div class="stats-grid"> |
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<div class="stat-card"> |
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<div class="value">20</div> |
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<div class="label">Total Tables</div> |
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</div> |
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<div class="stat-card accent"> |
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<div class="value">901.53M</div> |
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<div class="label">Total Records</div> |
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</div> |
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<div class="stat-card success"> |
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<div class="value">72</div> |
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<div class="label">Time Periods (Months)</div> |
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</div> |
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</div> |
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<h3>Table Statistics</h3> |
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<table> |
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<tr> |
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<th>Table Name</th> |
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<th>Rows</th> |
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<th>Columns</th> |
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</tr> |
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<tr><td>INCOME_ALL</td><td>12,411,576</td><td>61</td></tr><tr><td>INCOME_ACCESSORY</td><td>3,365,928</td><td>61</td></tr><tr><td>INCOME_SERVICE</td><td>1,480,464</td><td>61</td></tr><tr><td>INCOME_CYBVEHSYS</td><td>994,896</td><td>61</td></tr><tr><td>INCOME_GALMOTGRO</td><td>1,724,112</td><td>61</td></tr><tr><td>INCOME_NOVDYN</td><td>1,419,552</td><td>61</td></tr><tr><td>INCOME_SHIMOTCOR</td><td>1,133,784</td><td>61</td></tr><tr><td>INCOME_TYRAUTGRO</td><td>1,043,928</td><td>61</td></tr><tr><td>INCOME_WEYMOTCOR</td><td>1,248,912</td><td>61</td></tr><tr><td>BUDGET_AND_FORECAST_ALL</td><td>96,579,648</td><td>37</td></tr><tr><td>BUDGET_AND_FORECAST_ACCESSORY</td><td>30,184,704</td><td>37</td></tr><tr><td>BUDGET_AND_FORECAST_SERVICE</td><td>9,484,992</td><td>37</td></tr><tr><td>BUDGET_AND_FORECAST_CYBVEHSYS</td><td>8,496,576</td><td>37</td></tr><tr><td>BUDGET_AND_FORECAST_GALMOTGRO</td><td>11,233,728</td><td>37</td></tr><tr><td>BUDGET_AND_FORECAST_NOVDYN</td><td>10,463,904</td><td>37</td></tr><tr><td>BUDGET_AND_FORECAST_SHIMOTCOR</td><td>8,857,728</td><td>37</td></tr><tr><td>BUDGET_AND_FORECAST_TYRAUTGRO</td><td>8,506,080</td><td>37</td></tr><tr><td>BUDGET_AND_FORECAST_WEYMOTCOR</td><td>9,351,936</td><td>37</td></tr><tr><td>PROFIT_AND_LOSS</td><td>161,735,904</td><td>67</td></tr><tr><td>SALES_LEDGER</td><td>521,813,376</td><td>55</td></tr> |
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</table> |
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</div> |
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<div class="section" id="hierarchies"> |
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<h2>2. Entity Hierarchies</h2> |
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<div class="stats-grid"> |
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<div class="stat-card"> |
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<div class="value">47</div> |
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<div class="label">Cities</div> |
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</div> |
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<div class="stat-card"> |
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<div class="value">353</div> |
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<div class="label">Products (Lv3)</div> |
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</div> |
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<div class="stat-card"> |
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<div class="value">22</div> |
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<div class="label">Customers (Lv4)</div> |
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</div> |
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<div class="stat-card accent"> |
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<div class="value">40,756</div> |
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<div class="label">Total Contracts</div> |
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</div> |
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</div> |
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<div class="two-column"> |
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<div> |
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<h3>Region Hierarchy Counts</h3> |
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<table> |
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<tr><th>Level</th><th>Count</th></tr> |
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<tr><td>overseas_flags</td><td>2</td></tr><tr><td>sales_regions</td><td>11</td></tr><tr><td>countries</td><td>22</td></tr><tr><td>national_areas</td><td>37</td></tr><tr><td>provinces</td><td>46</td></tr><tr><td>cities</td><td>47</td></tr> |
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</table> |
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</div> |
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<div> |
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<h3>Product Hierarchy Counts</h3> |
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<table> |
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<tr><th>Level</th><th>Count</th></tr> |
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<tr><td>prod_lv0</td><td>3</td></tr><tr><td>prod_lv1</td><td>19</td></tr><tr><td>prod_lv2</td><td>93</td></tr><tr><td>prod_lv3</td><td>353</td></tr> |
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</table> |
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</div> |
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</div> |
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</div> |
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<div class="section" id="revenue"> |
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<h2>3. Revenue Analysis</h2> |
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<div class="chart-container"> |
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<div class="chart-title">Monthly Revenue Trend and YoY Growth</div> |
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<img src="revenue_trend.png" alt="Revenue Trend"> |
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</div> |
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<div class="chart-container"> |
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<div class="chart-title">Revenue by Product Division</div> |
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<img src="revenue_by_division.png" alt="Revenue by Division"> |
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</div> |
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<h3>Revenue by Division Summary</h3> |
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<table> |
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<tr> |
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<th>Division</th> |
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<th>Total Revenue (CNY)</th> |
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<th>YoY Growth</th> |
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<th>Share</th> |
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</tr> |
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<tr> |
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<td>Automobiles</td> |
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<td>$84.13B</td> |
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<td class="positive">19.91%</td> |
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<td>62.00%</td> |
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</tr><tr> |
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<td>Services</td> |
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<td>$30.30B</td> |
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<td class="positive">19.77%</td> |
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<td>22.33%</td> |
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</tr><tr> |
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<td>Accessories</td> |
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<td>$21.27B</td> |
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<td class="positive">20.19%</td> |
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<td>15.67%</td> |
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</tr> |
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</table> |
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</div> |
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<div class="section" id="topn"> |
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<h2>4. Top Performers</h2> |
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<div class="two-column"> |
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<div class="chart-container"> |
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<div class="chart-title">Top 20 Products by Revenue</div> |
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<img src="top_products.png" alt="Top Products"> |
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</div> |
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<div class="chart-container"> |
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<div class="chart-title">Top 20 Customers by Revenue</div> |
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<img src="top_customers.png" alt="Top Customers"> |
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</div> |
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</div> |
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<div class="two-column"> |
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<div class="chart-container"> |
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<div class="chart-title">Top 20 Regions by Revenue</div> |
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<img src="top_regions.png" alt="Top Regions"> |
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</div> |
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<div class="chart-container"> |
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<div class="chart-title">Top 20 Cities by Revenue</div> |
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<img src="top_cities.png" alt="Top Cities"> |
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</div> |
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</div> |
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<div class="chart-container"> |
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<div class="chart-title">Top 20 Brand-Country-Customer Combinations</div> |
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<img src="top_combinations.png" alt="Top Combinations"> |
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</div> |
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</div> |
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<div class="section" id="profitability"> |
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<h2>5. Profitability Analysis</h2> |
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<div class="data-note"> |
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<strong>📐 Profit Margin Formula:</strong> Gross Profit Margin = (Revenue - Expense) / Revenue × 100%<br> |
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Expected ranges: Services ~50%, Accessories <10%, Automobiles <10% |
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</div> |
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<div class="chart-container"> |
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<div class="chart-title">Profit Margin by Division</div> |
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<img src="profit_margin_division.png" alt="Profit Margin by Division"> |
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</div> |
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<h3>Profit by Division</h3> |
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<table> |
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<tr> |
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<th>Division</th> |
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<th>Revenue (USD)</th> |
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<th>Expense (USD)</th> |
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<th>Gross Profit (USD)</th> |
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<th>Margin %</th> |
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</tr> |
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<tr> |
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<td>Accessories</td> |
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<td>$21.27B</td> |
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<td>$20.25B</td> |
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<td>$1.01B</td> |
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<td class="negative">4.8%</td> |
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</tr><tr> |
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<td>Automobiles</td> |
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<td>$84.13B</td> |
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<td>$82.48B</td> |
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<td>$1.65B</td> |
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<td class="negative">2.0%</td> |
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</tr><tr> |
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<td>Services</td> |
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<td>$31.28B</td> |
|
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<td>$20.85B</td> |
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<td>$10.43B</td> |
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<td class="positive">33.3%</td> |
|
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</tr> |
|
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</table> |
|
|
|
|
|
<div class="chart-container"> |
|
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<div class="chart-title">Monthly Profit Margin Trend</div> |
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<img src="profit_margin_trend.png" alt="Profit Margin Trend"> |
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</div> |
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|
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<div class="two-column"> |
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<div class="chart-container"> |
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<div class="chart-title">Expense Breakdown</div> |
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<img src="expense_breakdown.png" alt="Expense Breakdown"> |
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</div> |
|
|
<div class="chart-container"> |
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<div class="chart-title">Expense Ratios (% of Revenue)</div> |
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|
<img src="expense_ratios.png" alt="Expense Ratios"> |
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</div> |
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</div> |
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</div> |
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|
|
|
|
|
|
<div class="section" id="yoy"> |
|
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<h2>6. Year-over-Year Analysis</h2> |
|
|
|
|
|
<div class="chart-container"> |
|
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<div class="chart-title">YoY Growth by Dimension</div> |
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<img src="yoy_by_dimension.png" alt="YoY by Dimension"> |
|
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</div> |
|
|
|
|
|
<div class="chart-container"> |
|
|
<div class="chart-title">Annual Growth Trends</div> |
|
|
<img src="growth_trends.png" alt="Growth Trends"> |
|
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</div> |
|
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</div> |
|
|
|
|
|
|
|
|
<div class="section" id="budget"> |
|
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<h2>7. Budget & Forecast Analysis</h2> |
|
|
|
|
|
<div class="data-note"> |
|
|
<strong>📋 Budget/Forecast Semantics:</strong><br> |
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|
• <strong>Budget:</strong> ytd_budget is the yearly budget (constant for all months in a year)<br> |
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• <strong>Forecast:</strong> ytd_forecast at YYYYMM predicts the full year (YYYY12) result<br> |
|
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• <strong>Target:</strong> ytd_target is the cumulative monthly target |
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</div> |
|
|
|
|
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<div class="chart-container"> |
|
|
<div class="chart-title">Budget Completion Rate by Division</div> |
|
|
<img src="budget_completion.png" alt="Budget Completion"> |
|
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</div> |
|
|
|
|
|
<div class="chart-container"> |
|
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<div class="chart-title">Forecast Accuracy Over Time</div> |
|
|
<img src="forecast_accuracy.png" alt="Forecast Accuracy"> |
|
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</div> |
|
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</div> |
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|
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<div class="section" id="sales"> |
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<h2>8. Sales Ledger Analysis</h2> |
|
|
|
|
|
<div class="stats-grid"> |
|
|
<div class="stat-card"> |
|
|
<div class="value">40,756</div> |
|
|
<div class="label">Total Contracts</div> |
|
|
</div> |
|
|
<div class="stat-card accent"> |
|
|
<div class="value">46,895</div> |
|
|
<div class="label">Total Projects</div> |
|
|
</div> |
|
|
<div class="stat-card success"> |
|
|
<div class="value">$135.70B</div> |
|
|
<div class="label">Total Revenue</div> |
|
|
</div> |
|
|
</div> |
|
|
|
|
|
<div class="two-column"> |
|
|
<div class="chart-container"> |
|
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<div class="chart-title">Top 20 Contracts by Revenue</div> |
|
|
<img src="top_contracts.png" alt="Top Contracts"> |
|
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</div> |
|
|
<div class="chart-container"> |
|
|
<div class="chart-title">Dealer Performance</div> |
|
|
<img src="dealer_performance.png" alt="Dealer Performance"> |
|
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</div> |
|
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</div> |
|
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</div> |
|
|
|
|
|
|
|
|
<div class="section" id="geographical"> |
|
|
<h2>9. Geographical Analysis</h2> |
|
|
|
|
|
<div class="two-column"> |
|
|
<div class="chart-container"> |
|
|
<div class="chart-title">Domestic vs Overseas Revenue</div> |
|
|
<img src="domestic_vs_overseas.png" alt="Domestic vs Overseas"> |
|
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</div> |
|
|
<div class="chart-container"> |
|
|
<div class="chart-title">Revenue Distribution by Region</div> |
|
|
<img src="regional_distribution.png" alt="Regional Distribution"> |
|
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</div> |
|
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</div> |
|
|
|
|
|
<div class="chart-container"> |
|
|
<div class="chart-title">Revenue Seasonality Pattern</div> |
|
|
<img src="seasonality.png" alt="Seasonality"> |
|
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</div> |
|
|
</div> |
|
|
|
|
|
|
|
|
<div class="section" id="metrics"> |
|
|
<h2>10. Additional Financial Metrics</h2> |
|
|
|
|
|
<div class="chart-container"> |
|
|
<div class="chart-title">Customer Revenue Concentration</div> |
|
|
<img src="customer_concentration.png" alt="Customer Concentration"> |
|
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</div> |
|
|
|
|
|
<h3>Revenue Intensity Metrics</h3> |
|
|
<table> |
|
|
<tr><th>Metric</th><th>Value</th></tr> |
|
|
<tr><td>Number of Products</td><td>353</td></tr> |
|
|
<tr><td>Number of Customers</td><td>22</td></tr> |
|
|
<tr><td>Number of Cities</td><td>47</td></tr> |
|
|
<tr><td>Revenue per Product</td><td>$384.42M</td></tr> |
|
|
<tr><td>Revenue per Customer</td><td>$6.17B</td></tr> |
|
|
<tr><td>Revenue per City</td><td>$2.89B</td></tr> |
|
|
</table> |
|
|
|
|
|
<h3>Customer Concentration</h3> |
|
|
<table> |
|
|
<tr><th>Metric</th><th>Value</th></tr> |
|
|
<tr><td>HHI Index</td><td>1013</td></tr> |
|
|
<tr><td>Top 5 Customers Share</td><td>55.30%</td></tr> |
|
|
<tr><td>Top 10 Customers Share</td><td>75.94%</td></tr> |
|
|
</table> |
|
|
|
|
|
<h3>Growth Volatility</h3> |
|
|
<table> |
|
|
<tr><th>Metric</th><th>Value</th></tr> |
|
|
<tr><td>Average YoY Growth</td><td>7.16%</td></tr> |
|
|
<tr><td>Growth Std Dev</td><td>18.98%</td></tr> |
|
|
<tr><td>Best Month Growth</td><td>81.42%</td></tr> |
|
|
<tr><td>Worst Month Growth</td><td>-27.77%</td></tr> |
|
|
<tr><td>Positive Growth Months</td><td>38</td></tr> |
|
|
<tr><td>Negative Growth Months</td><td>22</td></tr> |
|
|
</table> |
|
|
</div> |
|
|
|
|
|
|
|
|
<div class="section" id="conclusions"> |
|
|
<h2>11. Executive Summary & Conclusions</h2> |
|
|
|
|
|
<div class="conclusions"> |
|
|
<h3>📋 Key Findings</h3> |
|
|
<ul><li><strong>Total Revenue (Caliber A, USD): $135.70B over 72 months</strong></li><li><strong>Average Monthly Revenue: $1.88B</strong></li><li><strong>Average YoY Growth Rate: 7.16%</strong></li><li><strong>Automobiles: $84.13B (62.00% share, 19.91% YoY)</strong></li><li><strong>Services: $30.30B (22.33% share, 19.77% YoY)</strong></li><li><strong>Accessories: $21.27B (15.67% share, 20.19% YoY)</strong></li></ul><h4>**Profit Margins by Division:**</h4><ul><li> - Accessories: 4.8% margin</li><li> - Automobiles: 2.0% margin</li><li> - Services: 33.3% margin</li><li><strong>Average Gross Profit Margin: 9.6%</strong></li></ul><h4>**Compound Annual Growth Rate (CAGR) 2020-2025:** 5.18%</h4><ul></ul><h4>**Budget Completion (2025):**</h4><ul><li> - Accessories: 100.2% of budget, 92.7% of target</li><li> - Automobiles: 100.0% of budget, 92.7% of target</li><li> - Services: 99.6% of budget, 92.7% of target</li><li><strong>Average Forecast Accuracy: 99.6%</strong></li></ul><h4>**Geographic Distribution:**</h4><ul><li> - Domestic: 96.90% share, 19.95% YoY</li><li> - Overseas: 3.10% share, 19.00% YoY</li></ul><h4>**Regional Diversification:**</h4><ul><li> - Regional HHI: 9391</li><li> - Top Region: China (96.90%)</li></ul><h4>**Customer Concentration:**</h4><ul><li> - HHI Index: 1013 (Competitive)</li><li> - Top 5 Customers: 55.30% of revenue</li><li> - Top 10 Customers: 75.94% of revenue</li></ul><h4>**Revenue Intensity:**</h4><ul><li> - Revenue per Product: $384.42M</li><li> - Revenue per Customer: $6.17B</li><li> - Revenue per City: $2.89B</li></ul><h4>**Growth Volatility:**</h4><ul><li> - Average YoY Growth: 7.16%</li><li> - Growth Volatility (Std): 18.98%</li><li> - Best Month: 81.42%</li><li> - Worst Month: -27.77%</li><li> - Positive Growth Months: 38</li><li> - Negative Growth Months: 22</li></ul><h4>**Expense Ratios (as % of Revenue):**</h4><ul><li> - Other Expenses: 0.3%</li><li> - Income Tax Expense: 4.6%</li><li> - Period Expenses: 8.4%</li><li> - Cost of Sales: 77.1%</li></ul> |
|
|
</div> |
|
|
|
|
|
<h3>🎯 Strategic Observations</h3> |
|
|
<ul> |
|
|
<li><strong>Revenue Distribution:</strong> The company operates across three main divisions with varying profitability profiles.</li> |
|
|
<li><strong>Geographic Presence:</strong> Operations span domestic and overseas markets with clear regional concentration patterns.</li> |
|
|
<li><strong>Customer Base:</strong> Customer concentration metrics indicate the diversity of the revenue base.</li> |
|
|
<li><strong>Financial Health:</strong> Profit margins vary significantly by division, with Services showing higher margins than manufacturing segments.</li> |
|
|
<li><strong>Growth Trajectory:</strong> YoY growth patterns reveal seasonal and cyclical trends in the business.</li> |
|
|
<li><strong>Budget Discipline:</strong> Budget completion rates indicate the accuracy of financial planning processes.</li> |
|
|
</ul> |
|
|
|
|
|
<h3>📌 Data Quality Notes</h3> |
|
|
<ul> |
|
|
<li>All analysis uses Caliber A (standard accounting treatment) and CNY currency to avoid duplication.</li> |
|
|
<li>YoY comparisons use py_ (prior year) columns which properly align periods.</li> |
|
|
<li>Budget and forecast semantics follow the documented conventions (yearly budget constant, forecast predicts full year).</li> |
|
|
<li>Profit margins are calculated as (Revenue - Expense) / Revenue, with expenses stored as positive values.</li> |
|
|
</ul> |
|
|
</div> |
|
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<footer> |
|
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<p>Generated by RubikBench Financial Analyzer </p> |
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<p>Data Source: RubikBench v0.9.1 | APEX Corporation Financial Database</p> |
|
|
<p>Currency: USD | Caliber: A (Standard)</p> |
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</footer> |
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</div> |
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</body> |
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</html> |
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