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Hus og Have Sjælland ApS — Credit Rating and Financial Key Figures

CVR number: 44163950
Jernbanegade 23, 4000 Roskilde
husoghave.sj@outlook.dk
tel: 50599844
Free credit report

Company information

Official name
Hus og Have Sjælland ApS
Personnel
8 persons
Established
2023
Company form
Private limited company
Industry

About Hus og Have Sjælland ApS

Hus og Have Sjælland ApS (CVR number: 44163950) is a company from ROSKILDE. The company recorded a gross profit of 979.9 kDKK in 2024. The operating profit was -446.2 kDKK, while net earnings were -574.8 kDKK. The profitability of the company measured by Return on Assets (ROA) was -45 %, which can be considered poor and Return on Equity (ROE) was -126.1 %, which can be considered poor. The equity ratio, a key indicator for solidity, stood at -54 %. This indicates that the company's debt surpasses the value of its total assets, posing significant financial risk. Hus og Have Sjælland ApS's liquidity measured by quick ratio was 0.3 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
2024
Volume
Net sales
Gross profit979.90
EBIT- 446.21
Net earnings- 574.80
Shareholders equity total- 534.80
Balance sheet total (assets)455.84
Net debt- 124.29
Profitability
EBIT-%
ROA-45.0 %
ROE-126.1 %
ROI
Economic value added (EVA)- 446.21
Solvency
Equity ratio-54.0 %
Gearing
Relative net indebtedness %
Liquidity
Quick ratio0.3
Current ratio0.3
Cash and cash equivalents124.29
Capital use efficiency
Trade debtors turnover (days)
Net working capital %
Credit risk
Credit ratingC

Variable visualization

ROA:-45.0%
Rating: 0/100
-20%
0%
4%
11%
24%
60%
Graph showing the distribution of the variable
Equity ratio:-54.0%
Rating: 0/100
-1%
21%
50%
81%
99%
100%
Graph showing the distribution of the variable

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