Terp Nygaard P/S — Credit Rating and Financial Key Figures

CVR number: 43257080
Nedergårdsvej 89, Skejby 8200 Aarhus N

Company information

Official name
Terp Nygaard P/S
Personnel
1 person
Established
2022
Domicile
Skejby
Industry

About Terp Nygaard P/S

Terp Nygaard P/S (CVR number: 43257080) is a company from AARHUS. The company recorded a gross profit of -189.2 kDKK in 2023. The operating profit was -319 kDKK, while net earnings were -467 kDKK. The profitability of the company measured by Return on Assets (ROA) was -9.7 %, which can be considered poor and Return on Equity (ROE) was -25.9 %, which can be considered poor. The equity ratio, a key indicator for solidity, stood at -5.3 %. This indicates that the company's debt surpasses the value of its total assets, posing significant financial risk. Terp Nygaard P/S's liquidity measured by quick ratio was 0 which is at a very low level. Thus, the company is in an unstable financial position, with its liquid assets significantly undermatching its current liabilities. This severe liquidity deficiency may lead to financial distress and threaten the company's operational continuity.

Financial information

See financials

Gross profit (kDKK)

EBIT (kDKK)

Profitability

Solidity

Key figures (kDKK)

See financials
2022
2023
Volume
Net sales
Gross profit-54.11- 189.23
EBIT-94.21- 318.96
Net earnings- 118.84- 466.99
Shareholders equity total281.16- 185.83
Balance sheet total (assets)3 041.193 327.57
Net debt1 490.801 425.09
Profitability
EBIT-%
ROA-3.1 %-9.7 %
ROE-42.3 %-25.9 %
ROI-5.3 %-19.6 %
Economic value added (EVA)-94.21- 332.90
Solvency
Equity ratio9.2 %-5.3 %
Gearing531.6 %-792.3 %
Relative net indebtedness %
Liquidity
Quick ratio0.00.0
Current ratio0.00.0
Cash and cash equivalents3.8147.33
Capital use efficiency
Trade debtors turnover (days)
Net working capital %
Credit risk
Credit ratingBBBBB

Variable visualization

ROA:-9.73%
Rating: 10/100
-20%
0%
4%
11%
24%
60%
Graph showing the distribution of the variable
Equity ratio:-5.31%
Rating: 0/100
-1%
21%
50%
81%
99%
100%
Graph showing the distribution of the variable

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