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Super Madi Hydropower Reports 277.68% Rise in Net Profit in Q4; EPS Reaches to Rs. 18.40

Rohan PoudelBy Rohan Poudel

Super Madi Hydropower (SMHL) has published its fourth-quarter financial results for FY 2082/83, reporting a strong improvement in profitability, driven primarily by a sharp decline in financing costs alongside higher revenue from power sales. The company's paid-up capital increased by 5% to Rs. 2.31 Arba, while other equity surged by 219.05% to Rs. 45.14 Crore. Property, plant, and equipment stood at Rs. 8.14 Arba, reflecting a 3.64% decline compared to the previous fiscal year. During the review period, the company made investments worth Rs. 1 Arba, compared to no investment in the corresponding period last year. Revenue from power sales grew by 18.10% year-on-year to Rs. 1.33 Arba. Meanwhile, finance costs declined significantly by 15.29% to Rs. 46.05 Crore, contributing to a substantial improvement in earnings. Consequently, net profit jumped by 277.68% to Rs. 42.59 Crore. Earnings per share (EPS) rose to Rs. 18.40 from Rs. 5.12, representing a 259.69% increase, while net worth per share edged up by 12.29% to Rs. 119.50. As of the end of Q4 FY 2082/83, the company's price-to-earnings (P/E) ratio stood at 26.36 times, based on a closing market price of Rs. 485 per share. Report Major Highlights:

Particulars (In Rs '000) Super Madi Hydropower (SMHL)

Q4 2082/83 Q4 2081/82 Difference

Paid Up Capital 2,315,250.00 2,205,000.00 5.00%

Reserve and Surplus 451,432.24 141,491.78 219.05%

Property, Plant & Equipment 8,143,347.04 8,450,816.84 -3.64%

Investment 1,000,000.00 500,000.00 100.00%

Income From Power Sales 1,330,432.29 1,126,562.99 18.10%

Financial Costs 460,573.93 543,680.79 -15.29%

Net Profit 425,993.09 112,792.53 277.68%

EPS (In Rs.) 18.40 5.12 259.69%

Net Worth per Share (In Rs.) 119.50 107.63

Qtr end PE Ratio (times) 26.36

Qtr End Market Price 485

Rohan Poudel

Rohan Poudel

Rohan is a Full Stack Developer and the technical architect behind Nepali Share Market. With expertise in React, Node.js, and Machine Learning, he specializes in building scalable financial platforms and automated trading algorithms for the NEPSE ecosystem.

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