Ninkas Taxa ApS — Credit Rating and Financial Key Figures

CVR number: 43689797
Gl. Århusvej 231, 8800 Viborg
NAlbaek@outlook.dk
tel: 22997864

Credit rating

Company information

Official name
Ninkas Taxa ApS
Established
2022
Company form
Private limited company
Industry
  • Expand more icon49Land transport and transport via pipelines

About Ninkas Taxa ApS

Ninkas Taxa ApS (CVR number: 43689797) is a company from VIBORG. The company reported a net sales of 0.3 mDKK in 2023. The operating profit percentage was at 16 % (EBIT: 0 mDKK), while net earnings were 39.7 kDKK. The profitability of the company measured by Return on Assets (ROA) was 22.1 %, which can be considered excellent and Return on Equity (ROE) was 49.8 %, which can be considered excellent. The equity ratio, a key indicator for solidity, stood at 37.8 %, 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. Ninkas Taxa ApS's liquidity measured by quick ratio was 6.1 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
2023
Volume
Net sales291.14
Gross profit88.84
EBIT46.59
Net earnings39.68
Shareholders equity total79.68
Balance sheet total (assets)210.54
Net debt62.15
Profitability
EBIT-%16.0 %
ROA22.1 %
ROE49.8 %
ROI22.1 %
Economic value added (EVA)46.59
Solvency
Equity ratio37.8 %
Gearing164.2 %
Relative net indebtedness %21.3 %
Liquidity
Quick ratio6.1
Current ratio6.1
Cash and cash equivalents68.71
Capital use efficiency
Trade debtors turnover (days)
Net working capital %24.1 %
Credit risk
Credit ratingBB

Variable visualization

ROA:22.1%
Rating: 77/100
-20%
0%
4%
11%
24%
60%
Graph showing the distribution of the variable
Equity ratio:37.8%
Rating: 32/100
-1%
21%
50%
81%
99%
100%
Graph showing the distribution of the variable

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