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Accelerate Diagnostics Inc Net debt/EBITDA

Was ist das Net debt/EBITDA von Accelerate Diagnostics Inc?

Net debt/EBITDA von Accelerate Diagnostics Inc ist -2.79

Was ist die Definition von Net debt/EBITDA?



The net debt to earnings before interest, taxes, depreciation, and amortization (Net debt/EBITDA) ratio measures financial leverage and the company’s ability to pay off its debt. It shows how long it would take the company to pay off all its debt with operations at the current level.

The net debt to EBITDA ratio is calculated as Net debt divided by EBITDA. It is similar to the debt to EBITDA ratio, but cash and cash equivalents are subtracted in net debt.

Net debt = short-term debt + long-term debt - cash and cash equivalents
EBITDA = net income + interest expense + taxes + depreciation + amortization

Lower debt debt to EBITDA ratio indicates the company is not heavily indebted and should be able to repay its obligations. Alternatively, higher ratio indicated the company is excessively indebted. The ratio varies between industries as different industries have different capital requirements. Usually, the ratio should be compared to a benchmark or an industry average to determine the company’s credit risk. Generally, a net debt to EBITDA ratio above 4 or 5 is considered high.

Net debt/EBITDA von Unternehmen in Health Care Sektor auf NASDAQ im Vergleich zu Accelerate Diagnostics Inc

Was macht Accelerate Diagnostics Inc?

accelerate diagnostics, inc. (nasdaq:axdx), is an in vitro diagnostics company focused on developing and commercializing innovative systems for the rapid identification and antimicrobial susceptibility testing of infectious pathogens. the company's revolutionary id/ast platform utilizes a proprietary process with both genomic and phenotypic detection technologies that significantly decreases time to result while achieving high sensitivity and specificity. in addition to the id/ast development pipeline, the company also owns and licenses its proprietary optichem™ surface coatings technology, which has numerous applications for binding in bio-analytical systems, such as microarrays.

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