Dantaxi 41 ApS — Credit Rating and Financial Key Figures

CVR number: 42643572
Vermundsgade 25 D, 2100 København Ø
shabbir1011@hotmail.com
tel: 71692545

Company information

Official name
Dantaxi 41 ApS
Personnel
2 persons
Established
2021
Company form
Private limited company
Industry

About Dantaxi 41 ApS

Dantaxi 41 ApS (CVR number: 42643572) is a company from KØBENHAVN. The company recorded a gross profit of 656.7 kDKK in 2023. The operating profit was -12.3 kDKK, while net earnings were -23.8 kDKK. The profitability of the company measured by Return on Assets (ROA) was -6.5 %, which can be considered poor and Return on Equity (ROE) was -21.8 %, which can be considered poor. The equity ratio, a key indicator for solidity, stood at 56.1 %, a level that can be considered to be modest. This means a balanced mix of debt and equity financing its assets—a typical operational level for many companies. Dantaxi 41 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
2022
2023
Volume
Net sales
Gross profit816.98656.70
EBIT106.02-12.29
Net earnings81.48-23.84
Shareholders equity total121.4897.64
Balance sheet total (assets)203.06174.18
Net debt-47.99-12.92
Profitability
EBIT-%
ROA52.2 %-6.5 %
ROE67.1 %-21.8 %
ROI87.3 %-11.2 %
Economic value added (EVA)81.70-15.98
Solvency
Equity ratio59.8 %56.1 %
Gearing
Relative net indebtedness %
Liquidity
Quick ratio1.61.3
Current ratio1.61.3
Cash and cash equivalents47.9912.92
Capital use efficiency
Trade debtors turnover (days)
Net working capital %
Credit risk
Credit ratingBBBB

Variable visualization

ROA:-6.51%
Rating: 13/100
-20%
0%
4%
11%
24%
60%
Graph showing the distribution of the variable
Equity ratio:56.1%
Rating: 44/100
-1%
21%
50%
81%
99%
100%
Graph showing the distribution of the variable

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