KANYA DATA SYSTEMS : revenue, balance sheet and financial ratios

KANYA DATA SYSTEMS is a French company founded 20 years ago, specialized in the sector Autres commerces de détail spécialisés divers. Based in EVRY-COURCOURONNES (91000), this company of category PME shows in 2019 a revenue of 157 k€. Find below the complete financial statements, solvency ratios, working capital requirements and sector comparison.

Data updated on 2026-05-09

Sources : INPI & INSEE SIRENE - Processing : Ministry of Economy

Financial history - KANYA DATA SYSTEMS (SIREN 484800602)
Indicator 2019 2016
Revenue 156 707 € 366 225 €
Net income 38 520 € 13 271 €
EBITDA 64 215 € 14 516 €
Net margin 24.6% 3.6%

Revenue and income statement

In 2019, KANYA DATA SYSTEMS achieves revenue of 157 k€. Significant drop of -57% vs 2016. After deducting consumption (0 €), gross margin stands at 157 k€, i.e. a rate of 100%. This ratio measures the ability to generate value from commercial activity. EBITDA (= Gross margin - Personnel expenses - Taxes) reaches 64 k€, representing 41.0% of revenue. Positive scissor effect: EBITDA margin improves by +37.0 pts, sign of improved operational efficiency. This high EBITDA margin provides strong self-financing capacity and resilience to uncertainties. Ultimately, net income (= EBIT +/- financial result +/- exceptional - corporate tax) amounts to 39 k€, i.e. 24.6% of revenue. This profit can be retained or distributed to shareholders.

Revenue (2019) ?
Revenue
Definition
Total amount of sales of goods and services made by the company.
Formula
Sales of goods + Sold production

156 707 €

Gross margin (2019) ?
Gross margin
Definition
Difference between revenue and cost of goods sold.
Formula
Revenue - Cost of goods consumed

156 707 €

EBITDA (2019) ?
Gross Operating Surplus (EBITDA)
Definition
Resources generated by current operations, before depreciation and financial expenses.
Formula
Value added - Personnel expenses - Taxes
Interpretation
Positive = profitable activity

64 215 €

EBIT (2019) ?
EBIT (Operating Income)
Definition
Operating income, including depreciation and provisions.
Formula
EBITDA - Depreciation and provisions + Reversals

51 149 €

Net income (2019) ?
Net income
Definition
Profit or loss after all expenses, including taxes and exceptional items.
Formula
Current income + Exceptional income - Income tax

38 520 €

EBITDA margin (2019) ?
EBITDA margin
Definition
Measures the company's operating profitability.
Formula
(EBE / CA) x 100
Interpretation
> 10% : Good profitability
5-10% : Average
< 5% : Low

41.0%

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Chart evolution

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Assets

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Liabilities

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Solvency and debt ratios

The debt ratio (= Financial debt / Equity x 100) stands at 1%. This very low level reflects a solid financial structure, offering significant room for future investments or acquisitions. Financial autonomy (= Equity / Total assets x 100) reaches 93%. This high autonomy means the company finances most of its assets through equity, a sign of strength. Debt repayment capacity (= Financial debt / Cash flow) indicates it would take 0.1 years of cash flow to repay all financial debt. This short period demonstrates excellent debt sustainability. Cash flow represents 33.0% of revenue. Cash flow measures resources generated by operations, available for investment and debt repayment. This high level provides strong self-financing capacity.

Debt ratio (2019) ?
Debt ratio
Definition
Measures the proportion of debt to equity.
Formula
(Financial debt / Equity) x 100
Interpretation
< 50% : Low
50-100% : Moderate
> 100% : High

1.152%

Financial autonomy (2019) ?
Financial autonomy
Definition
Share of equity in the company's total financing.
Formula
(Equity / Total assets) x 100
Interpretation
> 30% : Good autonomy
20-30% : Average
< 20% : Low

92.998%

Cash flow / Revenue (2019) ?
Cash flow / Revenue
Definition
Self-financing capacity relative to revenue.
Formula
(CAF / CA) x 100
Interpretation
The higher the ratio, the more cash the company generates

32.966%

Repayment capacity (2019) ?
Repayment capacity
Definition
Number of years needed to repay debts with cash flow.
Formula
Financial debt / Cash flow
Interpretation
< 3 years : Excellent
3-5 years : Fair
> 5 years : Warning

0.143

Asset age ratio (2019) ?
Asset age ratio
Definition
Measures the degree of wear of tangible assets.
Formula
Accumulated depreciation / Gross fixed assets x 100
Interpretation
< 50% : Recent assets
50-70% : Normal wear
> 70% : Aging assets

17.9%

Solvency indicators evolution
KANYA DATA SYSTEMS

Sector positioning

Debt ratio
1.15 2019
2016
2019
Q1: 0.0
Med: 17.27
Q3: 93.89
Good

In 2019, the debt ratio of KANYA DATA SYSTEMS (1.15) ranks below the median of the sector. This ratio measures the weight of debt relative to equity. This controlled position reflects prudent management.

Financial autonomy
93.0% 2019
2016
2019
Q1: 6.01%
Med: 31.08%
Q3: 59.71%
Excellent

In 2019, the financial autonomy of KANYA DATA SYSTEMS (93.0%) ranks in the top 25% of the sector. This ratio represents the share of equity in total financing. High autonomy reflects financial independence and ability to absorb shocks.

Repayment capacity
0.14 years 2019
2016
2019
Q1: 0.0 years
Med: 0.0 years
Q3: 1.39 years
Average +28 pts over 2 years

In 2019, the repayment capacity of KANYA DATA SYSTEMS (0.14) ranks above the median of the sector. This ratio indicates the number of years needed to repay debt with cash flow. A reduction effort could improve financial strength.

Liquidity ratios

The liquidity ratio (= Current assets / Current liabilities) stands at 1546.57. Concretely, the company has €2 of liquid assets for every €1 of short-term debt: no cash risk within 12 months. The interest coverage ratio (= EBIT / Interest expenses) is 0.2x. Danger: operating income does not cover interest charges, unsustainable situation.

Liquidity ratio (2019) ?
Liquidity ratio
Definition
Ability to meet short-term debts with current assets.
Formula
Current assets / Current liabilities
Interpretation
> 1.5 : Very good
1-1.5 : Fair
< 1 : Liquidity risk

1546.566

Interest coverage (2019) ?
Interest coverage
Definition
Ability to cover interest charges with operating income.
Formula
EBIT / Interest expenses
Interpretation
> 3 : Comfortable
1.5-3 : Acceptable
< 1.5 : Risk

0.167

Liquidity indicators evolution
KANYA DATA SYSTEMS

Sector positioning

Liquidity ratio
1546.57 2019
2016
2019
Q1: 100.88
Med: 177.28
Q3: 330.46
Excellent

In 2019, the liquidity ratio of KANYA DATA SYSTEMS (1546.57) ranks in the top 25% of the sector. This ratio measures the ability to cover short-term debt with current assets. A ratio above 1 ensures comfortable coverage of short-term maturities.

Interest coverage
0.17x 2019
2016
2019
Q1: 0.0x
Med: 0.0x
Q3: 2.16x
Good

In 2019, the interest coverage of KANYA DATA SYSTEMS (0.2x) ranks above the median of the sector. This ratio indicates how many times operating income covers interest expenses. This comfortable position offers an appreciable safety margin.

Working capital requirement (WCR) and payment terms

Working capital requirement (WCR) measures the cash timing gap between customer collections and supplier/inventory payments. Average customer payment term: 506 days (formula: Customer receivables / Revenue incl. VAT x 360). Supplier term: 0 days. The gap of 506 days means the company finances its customers for over a month before being paid relative to supplier payments. This weighs on cash flow. Overall, WCR represents 513 days of revenue, i.e. 224 k€ to permanently finance.

Operating WCR (2019) ?
Operating WCR
Definition
Financing requirement generated by the operating cycle (inventory + receivables - trade payables).
Formula
Inventory + Customer receivables - Trade payables
Interpretation
Negative = cash released
Positive = financing needed

223 517 €

Customer credit (2019) ?
Customer credit (days)
Definition
Average payment term granted to customers.
Formula
(Customer receivables / Revenue incl. VAT) x 360
Interpretation
< 45j : Good
45-60j : Average
> 60j : Long

506 j

Supplier credit (2019) ?
Supplier credit (days)
Definition
Average payment term obtained from suppliers.
Formula
(Trade payables / Purchases incl. VAT) x 360
Interpretation
The longer the term, the better for cash flow

0 j

Inventory turnover (2019) ?
Inventory turnover (days)
Definition
Average storage duration for goods or materials.
Formula
(Inventory / Cost of goods) x 360
Interpretation
The lower the ratio, the faster the turnover

0 j

WCR in days of revenue (2019) ?
WCR in days of revenue
Definition
Expresses working capital requirement in days of revenue.
Formula
(Operating WCR / Revenue) x 360
Interpretation
The fewer days, the better the working capital management

513 j

WCR and payment terms evolution
KANYA DATA SYSTEMS

Positioning of KANYA DATA SYSTEMS in its sector

Comparison with sector Autres commerces de détail spécialisés divers

Valuation estimate

Based on 128 transactions of similar company sales in 2019, the value of KANYA DATA SYSTEMS is estimated at 195 355 € (range 102 203€ - 408 347€). With an EBITDA of 64 215€, the sector multiple of 4.1x is applied. The price/revenue ratio is 0.46x (conservative valuation). This multiples method compares the actual sale price of similar companies to their financial indicators (Revenue, EBITDA, Net Income). It provides a market-based indicative estimate.

Estimated enterprise value 2019
128 transactions
102k€ 195k€ 408k€
195 355 € Range: 102 203€ - 408 347€
NAF 5 année 2019

Valuation detail by method

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EBITDA Multiple 50%
64 215 € × 4.1x
Estimation 263 959 €
144 231€ - 580 756€
Revenue Multiple 30%
156 707 € × 0.46x
Estimation 72 307 €
36 183€ - 106 977€
Net Income Multiple 20%
38 520 € × 5.4x
Estimation 208 420 €
96 167€ - 429 380€

Valuation evolution

How is this estimate calculated?

This estimate is based on the analysis of 128 actual transactions of similar company sales (same NAF code) registered with BODACC between 2016 and 2025.

  • EBITDA Multiple: Preferred method for profitable SMEs. EBITDA reflects the ability to generate cash.
  • Revenue Multiple: Used for growing companies or those with low profitability. Reflects commercial potential.
  • Net Income Multiple: Relevant for mature companies with stable results.

This estimate is provided for information purposes only. A precise valuation requires in-depth analysis (assets, liabilities, prospects, market...).

Similar companies (Autres commerces de détail spécialisés divers)

Compare KANYA DATA SYSTEMS with other companies in the same sector:

Voir toutes les statistiques du secteur Autres commerces de détail spécialisés divers

Frequently asked questions about KANYA DATA SYSTEMS

What is the revenue of KANYA DATA SYSTEMS ?

The revenue of KANYA DATA SYSTEMS in 2019 is 157 k€.

Is KANYA DATA SYSTEMS profitable?

Yes, KANYA DATA SYSTEMS generated a net profit of 39 k€ in 2019.

Where is the headquarters of KANYA DATA SYSTEMS ?

The headquarters of KANYA DATA SYSTEMS is located in EVRY-COURCOURONNES (91000), in the department Essonne.

Where to find the tax return of KANYA DATA SYSTEMS ?

The tax return of KANYA DATA SYSTEMS is available on this page. Click on a year in the 'Data by year' section to view the account details (assets, liabilities, income statement). Data comes from INPI (National Institute of Industrial Property).

In which sector does KANYA DATA SYSTEMS operate?

KANYA DATA SYSTEMS operates in the sector Autres commerces de détail spécialisés divers (NAF code 47.78C). See the 'Sector positioning' section above to compare the company with its competitors.