MØLLER & RASMUSSEN ApS — Credit Rating and Financial Key Figures

CVR number: 41740000
Torpegårdsvej 31 A, Sønder Nærå 5792 Årslev
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Company information

Official name
MØLLER & RASMUSSEN ApS
Established
2020
Domicile
Sønder Nærå
Company form
Private limited company
Industry

About MØLLER & RASMUSSEN ApS

MØLLER & RASMUSSEN ApS (CVR number: 41740000) is a company from FAABORG-MIDTFYN. The company recorded a gross profit of -5 kDKK in 2023. The operating profit was -5 kDKK, while net earnings were -8.6 kDKK. The profitability of the company measured by Return on Assets (ROA) was -2.4 %, which can be considered poor and Return on Equity (ROE) was -4.8 %, which can be considered poor. The equity ratio, a key indicator for solidity, stood at 93.6 %, a level that can be considered to be very good, which means that the majority of assets are financed by equity. MØLLER & RASMUSSEN ApS's liquidity measured by quick ratio was 15.7 which is at a very high level. Thus, the company demonstrates exceptional financial stability, possessing a significant surplus of liquid assets over its short-term liabilities.

Financial information

See financials

Gross profit (kDKK)

EBIT (kDKK)

Profitability

Solidity

Key figures (kDKK)

See financials
2021
2022
2023
Volume
Net sales
Gross profit285.71-5.00
EBIT121.27285.71-5.00
Net earnings43.83198.48-8.60
Shareholders equity total83.83282.3173.72
Balance sheet total (assets)1 908.40343.5978.72
Net debt1 732.26- 343.59-72.72
Profitability
EBIT-%
ROA6.4 %25.4 %-2.4 %
ROE52.3 %108.4 %-4.8 %
ROI6.6 %26.9 %-2.8 %
Economic value added (EVA)78.01219.71-1.92
Solvency
Equity ratio4.4 %82.2 %93.6 %
Gearing2097.9 %
Relative net indebtedness %
Liquidity
Quick ratio0.15.615.7
Current ratio1.05.615.7
Cash and cash equivalents26.38343.5972.72
Capital use efficiency
Trade debtors turnover (days)
Net working capital %
Credit risk
Credit ratingBBBB

Variable visualization

ROA:-2.37%
Rating: 18/100
-20%
0%
4%
11%
24%
60%
Graph showing the distribution of the variable
Equity ratio:93.6%
Rating: 74/100
-1%
21%
50%
81%
99%
100%
Graph showing the distribution of the variable

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