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Railway Metrics and Dynamics Sweden AB (XSAT:RMDX) COGS-to-Revenue : -1.93 (As of Mar. 2024)


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What is Railway Metrics and Dynamics Sweden AB COGS-to-Revenue?

Railway Metrics and Dynamics Sweden AB's Cost of Goods Sold for the three months ended in Mar. 2024 was kr-1.47 Mil. Its Revenue for the three months ended in Mar. 2024 was kr0.76 Mil.

Railway Metrics and Dynamics Sweden AB's COGS to Revenue for the three months ended in Mar. 2024 was -1.93.

Cost of Goods Sold is directly linked to profitability of the company through Gross Margin. Railway Metrics and Dynamics Sweden AB's Gross Margin % for the three months ended in Mar. 2024 was 293.16%.


Railway Metrics and Dynamics Sweden AB COGS-to-Revenue Historical Data

The historical data trend for Railway Metrics and Dynamics Sweden AB's COGS-to-Revenue can be seen below:

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.

* Premium members only.

Railway Metrics and Dynamics Sweden AB COGS-to-Revenue Chart

Railway Metrics and Dynamics Sweden AB Annual Data
Trend Jun19 Jun20 Dec21 Dec22 Dec23
COGS-to-Revenue
- - - -46.44 -0.83

Railway Metrics and Dynamics Sweden AB Quarterly Data
Jun19 Jun20 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24
COGS-to-Revenue Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only -0.70 -0.41 -1.22 -2.83 -1.93

Railway Metrics and Dynamics Sweden AB COGS-to-Revenue Calculation

Railway Metrics and Dynamics Sweden AB's COGS to Revenue for the fiscal year that ended in Dec. 2023 is calculated as

COGS to Revenue=Cost of Goods Sold / Revenue
=-5.12 / 6.17
=-0.83

Railway Metrics and Dynamics Sweden AB's COGS to Revenue for the quarter that ended in Mar. 2024 is calculated as

COGS to Revenue=Cost of Goods Sold / Revenue
=-1.468 / 0.76
=-1.93

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.


Railway Metrics and Dynamics Sweden AB  (XSAT:RMDX) COGS-to-Revenue Explanation

Cost of Goods Sold is directly linked to profitability of the company through Gross Margin.

Railway Metrics and Dynamics Sweden AB's Gross Margin % for the three months ended in Mar. 2024 is calculated as:

Gross Margin %=1 - COGS to Revenue
=1 - Cost of Goods Sold / Revenue
=1 - -1.468 / 0.76
=293.16 %

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.

A company that has a moat can usually maintain or even expand their Gross Margin. A company can increase its Gross Margin in two ways. It can increase the prices of the goods it sells and keeps its Cost of Goods Sold unchanged. Or it can keep the sales price unchanged and squeeze its suppliers to reduce the Cost of Goods Sold. Warren Buffett believes businesses with the power to raise prices have moats.


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Railway Metrics and Dynamics Sweden AB (XSAT:RMDX) Business Description

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Traded in Other Exchanges
Address
Box 7357, Stockholm, SWE, 103 90
Railway Metrics and Dynamics Sweden AB is a swedish company that develops real-time sensors for monitoring and analysis of locomotives, wagons, and railway infrastructure. The firm develops and sells a platform for real-time analysis and monitoring of both rolling stock and infrastructure. Its solution makes up the hub for data collection and analysis. Its technology enables monitoring the status of the fleet.; diagnostics and predictions to plan maintenance and maximize the vehicle's run time; monitoring heavy maintenance.

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