Herløv MC IVS

CVR number: 38473328
Nordre Ringvej 18, 5700 Svendborg
Herlevsmc@gmail.com
tel: 60588558
http://www.herloevmc.dk

Credit rating

Company information

Official name
Herløv MC IVS
Established
2017
Company form
Entrepreneurial limited company
Industry
  • Expand more icon45Wholesale and retail trade and repair of motor vehicles and motorcycles

About Herløv MC IVS

Herløv MC IVS (CVR number: 38473328) is a company from SVENDBORG. The company recorded a gross profit of 8.9 kDKK in 2017. The operating profit was -146 kDKK, while net earnings were -152 kDKK. The profitability of the company measured by Return on Assets (ROA) was -98.6 %, which can be considered poor and Return on Equity (ROE) was -2452 %, which can be considered poor. The equity ratio, a key indicator for solidity, stood at -95.8 %. This indicates that the company's debt surpasses the value of its total assets, posing significant financial risk. Herløv MC IVS'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
2017
Volume
Net sales
Gross profit8.88
EBIT- 145.98
Net earnings- 152.03
Shareholders equity total- 141.93
Balance sheet total (assets)6.20
Net debt132.05
Profitability
EBIT-%
ROA-98.6 %
ROE-2452.0 %
ROI-110.4 %
Economic value added (EVA)- 145.98
Solvency
Equity ratio-95.8 %
Gearing-93.2 %
Relative net indebtedness %
Liquidity
Quick ratio0.0
Current ratio0.0
Cash and cash equivalents0.20
Capital use efficiency
Trade debtors turnover (days)
Net working capital %
Credit risk
Credit ratingB

Variable visualization

ROA:-98.6%
Rating: 0/100
-20%
0%
4%
11%
24%
60%
Graph showing the distribution of the variable
Equity ratio:-95.8%
Rating: 0/100
-1%
21%
50%
81%
99%
100%
Graph showing the distribution of the variable

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