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Sarbottam Cement’s Q4 Profit Rises 7.70% to Rs. 1.10 Arba

Rohan PoudelBy Rohan Poudel

Sarbottam Cement Limited (SARBTM) has published its fourth-quarter financial report for fiscal year 2082/83, reporting a 7.70% increase in net profit to Rs. 1.10 Arba, compared to Rs. 1.02 Arba in the corresponding quarter of the previous fiscal year. The company’s revenue from operations increased by 7.56% to Rs. 10.25 Arba during the review period. Similarly, other income rose significantly by 28.59% to Rs. 17.69 Crore. Sarbottam Cement’s paid-up capital increased from Rs. 4.97 Arba in the previous fiscal year to Rs. 5.22 Arba. The company has reported Rs. 4.87 Arba in reserves and surplus and Rs. 33.68 Crore in revaluation reserves. Its total equity has reached Rs. 10.43 Arba. The company’s Earnings per Share (EPS) stands at Rs. 21.20, while its net worth per share has reached Rs. 199.82. Meanwhile, Sarbottam Cement’s total investments increased to Rs. 1.31 Arba during the review period. Report: Major Financial Highlights:

Particulars (Rs in 000) Sarbottam Cement Limited

Q4 2082/83 Q4 2081/82 Difference

Paid Up Capital      5,224,275    4,975,500 5.00%

Revaluation Reserve          336,854       336,854 0.00%

Other Equity (Retained Earnings)      4,877,764    4,765,435 2.36%

Property, Plant and Equipment      9,166,259    8,450,029 8.48%

Investment      1,315,000    1,305,000 0.77%

Trade Receivables      2,539,134    3,133,279 -18.96%

Revenue from Operation    10,258,528    9,537,334 7.56%

Other Income          176,950       137,608 28.59%

Total Expenses      1,156,395       860,167 34.44%

Net Profit      1,107,429    1,028,244 7.70%

EPS (In Rs.) 21.20 20.67 2.57%

Net Worth per Share (In Rs.) 199.82 202.55 -1.35%

Qtr End P/E Ratio 36.42   -  0.00%

Qte End Price 772

0.00%

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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