METHODE INFORMATIQUE ANALYSE : revenue, balance sheet and financial ratios

METHODE INFORMATIQUE ANALYSE is a French company founded 14 years ago, specialized in the sector Programmation informatique. Based in COYE-LA-FORET (60580), this company of category PME shows in 2020 a revenue of 128 k€. Find below the complete financial statements, solvency ratios, working capital requirements and sector comparison.

Data updated on 2026-05-02

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

Financial history - METHODE INFORMATIQUE ANALYSE (SIREN 750385270)
Indicator 2020 2019
Revenue 128 110 € 118 530 €
Net income 15 184 € 9 419 €
EBITDA 15 184 € 9 419 €
Net margin 11.9% 7.9%

Revenue and income statement

In 2020, METHODE INFORMATIQUE ANALYSE achieves revenue of 128 k€. Vs 2019: +8%. After deducting consumption (0 €), gross margin stands at 128 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 15 k€, representing 11.9% of revenue. Positive scissor effect: EBITDA margin improves by +3.9 pts, sign of improved operational efficiency. This level of operating margin is satisfactory for the sector. Ultimately, net income (= EBIT +/- financial result +/- exceptional - corporate tax) amounts to 15 k€, i.e. 11.9% of revenue. This profit can be retained or distributed to shareholders.

Revenue (2020) ?
Revenue
Definition
Total amount of sales of goods and services made by the company.
Formula
Sales of goods + Sold production

128 110 €

Gross margin (2020) ?
Gross margin
Definition
Difference between revenue and cost of goods sold.
Formula
Revenue - Cost of goods consumed

128 110 €

EBITDA (2020) ?
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

15 184 €

EBIT (2020) ?
EBIT (Operating Income)
Definition
Operating income, including depreciation and provisions.
Formula
EBITDA - Depreciation and provisions + Reversals

15 184 €

Net income (2020) ?
Net income
Definition
Profit or loss after all expenses, including taxes and exceptional items.
Formula
Current income + Exceptional income - Income tax

15 184 €

EBITDA margin (2020) ?
EBITDA margin
Definition
Measures the company's operating profitability.
Formula
(EBE / CA) x 100
Interpretation
> 10% : Good profitability
5-10% : Average
< 5% : Low

11.9%

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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 0%. 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 0%. Low autonomy: the company heavily depends on external financing (banks, suppliers). Cash flow represents 11.9% 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 (2020) ?
Debt ratio
Definition
Measures the proportion of debt to equity.
Formula
(Financial debt / Equity) x 100
Interpretation
< 50% : Low
50-100% : Moderate
> 100% : High

0.0%

Financial autonomy (2020) ?
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

0.0%

Cash flow / Revenue (2020) ?
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

11.852%

Repayment capacity (2020) ?
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

0.0

Solvency indicators evolution
METHODE INFORMATIQUE ANALYSE

Sector positioning

Debt ratio
0.0 2020
2019
2020
Q1: 0.0
Med: 4.09
Q3: 60.35
Excellent

In 2020, the debt ratio of METHODE INFORMATIQUE ANALYSE (0.00) ranks in the bottom 25% of the sector, which is positive. This ratio measures the weight of debt relative to equity. A low ratio indicates a solid financial structure with little dependence on creditors.

Financial autonomy
0.0% 2020
2019
2020
Q1: 2.85%
Med: 31.41%
Q3: 60.44%
Average

In 2020, the financial autonomy of METHODE INFORMATIQUE ANALYSE (0.0%) ranks below the median of the sector. This ratio represents the share of equity in total financing. An improvement would strengthen the competitive position.

Repayment capacity
0.0 years 2020
2019
2020
Q1: 0.0 years
Med: 0.0 years
Q3: 0.56 years
Excellent

In 2020, the repayment capacity of METHODE INFORMATIQUE ANALYSE (0.00) ranks in the bottom 25% of the sector, which is positive. This ratio indicates the number of years needed to repay debt with cash flow. A short capacity reflects controlled debt and good cash generation.

Liquidity ratios

The liquidity ratio (= Current assets / Current liabilities) stands at 99.07. Concretely, the company has €2 of liquid assets for every €1 of short-term debt: no cash risk within 12 months.

Liquidity ratio (2020) ?
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

99.066

Interest coverage (2020) ?
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

0.0

Liquidity indicators evolution
METHODE INFORMATIQUE ANALYSE

Sector positioning

Liquidity ratio
99.07 2020
2020
Q1: 132.33
Med: 240.27
Q3: 433.52
Watch

In 2020, the liquidity ratio of METHODE INFORMATIQUE ANALYSE (99.07) ranks in the bottom 25% of the sector. This ratio measures the ability to cover short-term debt with current assets. A ratio below 1 may signal potential cash flow tensions.

Interest coverage
0.0x 2020
2019
2020
Q1: 0.0x
Med: 0.0x
Q3: 0.18x
Average

In 2020, the interest coverage of METHODE INFORMATIQUE ANALYSE (0.0x) ranks below the median of the sector. This ratio indicates how many times operating income covers interest expenses. An improvement would strengthen the competitive position.

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: 59 days (formula: Customer receivables / Revenue incl. VAT x 360). Supplier term: 0 days. The gap of 59 days means the company finances its customers for over a month before being paid relative to supplier payments. This weighs on cash flow. WCR is negative (-142 days): operations structurally generate cash.

Operating WCR (2020) ?
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

-50 416 €

Customer credit (2020) ?
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

59 j

Supplier credit (2020) ?
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 (2020) ?
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 (2020) ?
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

-142 j

WCR and payment terms evolution
METHODE INFORMATIQUE ANALYSE

Positioning of METHODE INFORMATIQUE ANALYSE in its sector

Comparison with sector Programmation informatique

Valuation estimate

Based on 120 transactions of similar company sales (all years), the value of METHODE INFORMATIQUE ANALYSE is estimated at 33 857 € (range 16 063€ - 90 023€). With an EBITDA of 15 184€, the sector multiple of 2.2x is applied. The price/revenue ratio is 0.27x (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 2020
120 transactions
16k€ 33k€ 90k€
33 857 € Range: 16 063€ - 90 023€
NAF 5 all-time

Valuation detail by method

Ajustez les pondérations selon votre analyse

EBITDA Multiple 50%
15 184 € × 2.2x
Estimation 33 765 €
14 652€ - 92 883€
Revenue Multiple 30%
128 110 € × 0.27x
Estimation 34 796 €
19 670€ - 85 099€
Net Income Multiple 20%
15 184 € × 2.2x
Estimation 32 683 €
14 182€ - 90 263€

Valuation evolution

How is this estimate calculated?

This estimate is based on the analysis of 120 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 (Programmation informatique)

Compare METHODE INFORMATIQUE ANALYSE with other companies in the same sector:

Voir toutes les statistiques du secteur Programmation informatique

Frequently asked questions about METHODE INFORMATIQUE ANALYSE

What is the revenue of METHODE INFORMATIQUE ANALYSE ?

The revenue of METHODE INFORMATIQUE ANALYSE in 2020 is 128 k€.

Is METHODE INFORMATIQUE ANALYSE profitable?

Yes, METHODE INFORMATIQUE ANALYSE generated a net profit of 15 k€ in 2020.

Where is the headquarters of METHODE INFORMATIQUE ANALYSE ?

The headquarters of METHODE INFORMATIQUE ANALYSE is located in COYE-LA-FORET (60580), in the department Oise.

Where to find the tax return of METHODE INFORMATIQUE ANALYSE ?

The tax return of METHODE INFORMATIQUE ANALYSE 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 METHODE INFORMATIQUE ANALYSE operate?

METHODE INFORMATIQUE ANALYSE operates in the sector Programmation informatique (NAF code 62.01Z). See the 'Sector positioning' section above to compare the company with its competitors.