Møller og Wulff Logistik ApS — Credit Rating and Financial Key Figures

CVR number: 38140108
Teglvænget 89 A, 7400 Herning
info@mwlogistik.dk
tel: 70262226
www.mwlogistik.dk

Company information

Official name
Møller og Wulff Logistik ApS
Established
2016
Company form
Private limited company
Industry

About Møller og Wulff Logistik ApS

Møller og Wulff Logistik ApS (CVR number: 38140108) is a company from HERNING. The company reported a net sales of 6.3 mDKK in 2017. The operating profit percentage was at 7.5 % (EBIT: 0.5 mDKK), while net earnings were 357.1 kDKK. The profitability of the company measured by Return on Assets (ROA) was 22.7 %, which can be considered excellent and Return on Equity (ROE) was 34.4 %, which can be considered excellent. The equity ratio, a key indicator for solidity, stood at 33.7 %, a level that can be considered to be low. This means a higher proportion of debt in its capital structure, indicating a greater reliance on borrowed funds. Møller og Wulff Logistik ApS's liquidity measured by quick ratio was 1.3 which is at a high level. Thus, the company is in a strong financial position, with liquid assets surpassing current liabilities. It is well-prepared to cover short-term financial obligations.

Financial information

See financials

Gross profit (kDKK)

EBIT (kDKK)

Profitability

Solidity

Key figures (kDKK)

See financials
2016
2017
Volume
Net sales6 304.64
Gross profit2 137.55
EBIT470.73
Net earnings357.06
Shareholders equity total340.00697.06
Balance sheet total (assets)2 070.77
Net debt-0.45
Profitability
EBIT-%7.5 %
ROA22.7 %
ROE34.4 %
ROI66.6 %
Economic value added (EVA)349.03
Solvency
Equity ratio100.0 %33.7 %
Gearing
Relative net indebtedness %21.6 %
Liquidity
Quick ratio1.3
Current ratio1.3
Cash and cash equivalents0.45
Capital use efficiency
Trade debtors turnover (days)49.4
Net working capital %5.6 %
Credit risk
Credit ratingBB

Variable visualization

ROA:22.7%
Rating: 78/100
-20%
0%
4%
11%
24%
60%
Graph showing the distribution of the variable
Equity ratio:33.7%
Rating: 29/100
-1%
21%
50%
81%
99%
100%
Graph showing the distribution of the variable

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