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📧 24f1002781@ds.study.iitm.ac.in
Presented by: Financial Consulting Team
$2.8B
+15.2%
+12.8%
$$NPM = \frac{\text{Net Income}}{\text{Total Revenue}} \times 100$$
Q4 2025: 18.5% (vs 16.2% Q4 2024)
$$ROI = \frac{\text{Gain} - \text{Cost}}{\text{Cost}} \times 100$$
Q4 2025: 22.3%
$$EPS = \frac{\text{Net Income}}{\text{Shares Outstanding}}$$
Q4 2025: $4.75 (vs $4.12 in Q4 2024)
import pandas as pd
import numpy as np
# Load quarterly data
data = pd.read_csv('quarterly_financials.csv')
df = pd.DataFrame(data)
# Calculate key metrics
df['net_margin'] = (df['net_income'] / df['revenue']) * 100
df['growth_rate'] = df['revenue'].pct_change() * 100
df['eps'] = df['net_income'] / df['shares_outstanding']
print(df[['revenue', 'net_margin', 'growth_rate', 'eps']])
// Calculate investment returns
function calculateReturns(initialInvestment, finalValue) {
const gain = finalValue - initialInvestment;
const returnPercentage = (gain / initialInvestment) * 100;
return returnPercentage;
}
// Example: $10,000 investment returned $12,300
const investmentReturn = calculateReturns(10000, 12300);
console.log(`Investment Return: ${investmentReturn.toFixed(2)}%`);
// Output: Investment Return: 23.00%
Cloud infrastructure investment
New geographic markets & product lines
AI & ML-powered solutions
ESG initiatives & carbon neutrality
Thank you for your attention
Presenter Contact:
24f1002781@ds.study.iitm.ac.in
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