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  • Construction & Mining Machinery Industry financial

    On the trailing twelve months basis Construction & Mining Machinery Industry 's ebitda grew by 218 % in 2 Q 2019 sequentially, faster than total debt, this led to improvement in Industry's Debt Coverage Ratio to 4738 , above Construction & Mining Machinery Industry average Debt Coverage Ratio

  • Construction & Mining Machinery Industry Profitability by

    Construction & Mining Machinery Industry Ebitda grew by 655 % in 2 Q 2019 sequntially, while Revenue increased by 959 %, this led to improvement in Construction & Mining Machinery Industry's Ebitda Margin to 1923 %, above Construction & Mining Machinery Industry average Ebitda Margin

  • China CN: Heavy Mining Machinery: Asset Liability Ratio

    China’s CN: Heavy Mining Machinery: Asset Liability Ratio data was reported at 60480 % in May 2019 This records an increase from the previous number of 60100 % for Apr 2019

  • Cat | Influencing Mining Equipment Performance Through

    Maintenance Ratio The dimensionless ratio of maintenance and repair man-hours to machine operating hours It indicates the amount of effort required to keep equipment in service as well as the efficiency with which labor is deployed and the effectiveness of the workforce Asset Utilization

  • Monthly Demand, Orders and KOMTRAX data - Komatsu Ltd

    BB Ratio for Mining Equipment (up through Aug 2019)(69 KB) (2) Orders received / Sales Index for Industrial Machinery (6 Months) BB Ratio for Industrial Machinery (up through Aug 2019)(47 KB) 3 KOMTRAX data Hours of machine use (monthly average) by region obtained from KOMTRAX remote monitoring system for construction equipment KOMTRAX data

  • Caterpillar PE Ratio 2006-2019 | CAT | MacroTrends

    Current and historical p/e ratio for Caterpillar (CAT) from 2006 to 2019 The price to earnings ratio is calculated by taking the latest closing price and dividing it by the most recent earnings per share (EPS) number The PE ratio is a simple way to assess whether a stock is over or under valued and is the most widely used valuation measure

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