Lyngholm Living ApS — Credit Rating and Financial Key Figures

CVR number: 37877808
Nørregade 30, 5000 Odense C
nadia@lyngholmliving.dk
tel: 60166164
lyngholmliving.dk

Company information

Official name
Lyngholm Living ApS
Established
2016
Company form
Private limited company
Industry

About Lyngholm Living ApS

Lyngholm Living ApS (CVR number: 37877808K) is a company from ODENSE. The company reported a net sales of 0.2 mDKK in 2017. The operating profit percentage was poor at -35.5 % (EBIT: -0.1 mDKK), while net earnings were -76.1 kDKK. The profitability of the company measured by Return on Assets (ROA) was -157.2 %, which can be considered poor and Return on Equity (ROE) was -398 %, which can be considered poor. The equity ratio, a key indicator for solidity, stood at -57.7 %. This indicates that the company's debt surpasses the value of its total assets, posing significant financial risk. Lyngholm Living ApS's liquidity measured by quick ratio was 0.4 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
2017
Volume
Net sales203.09
Gross profit-28.54
EBIT-72.00
Net earnings-76.09
Shareholders equity total-26.09
Balance sheet total (assets)19.12
Net debt15.53
Profitability
EBIT-%-35.5 %
ROA-157.2 %
ROE-398.0 %
ROI-398.3 %
Economic value added (EVA)-72.00
Solvency
Equity ratio-57.7 %
Gearing-68.4 %
Relative net indebtedness %21.1 %
Liquidity
Quick ratio0.4
Current ratio0.4
Cash and cash equivalents2.32
Capital use efficiency
Trade debtors turnover (days)30.2
Net working capital %-12.8 %
Credit risk
Credit ratingB

Variable visualization

ROA:-157.2%
Rating: 0/100
-20%
0%
4%
11%
24%
60%
Graph showing the distribution of the variable
Equity ratio:-57.7%
Rating: 0/100
-1%
21%
50%
81%
99%
100%
Graph showing the distribution of the variable

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