7 datasets found
  1. M

    Comstock Resources Debt/Equity Ratio 2010-2025 | CRK

    • macrotrends.net
    csv
    Updated Jul 31, 2025
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    MACROTRENDS (2025). Comstock Resources Debt/Equity Ratio 2010-2025 | CRK [Dataset]. https://www.macrotrends.net/stocks/charts/CRK/comstock-resources/debt-equity-ratio
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    csvAvailable download formats
    Dataset updated
    Jul 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2010 - 2025
    Area covered
    United States
    Description

    Comstock Resources debt/equity ratio for the quarter ending March 31, 2025 was 1.34. Comstock Resources average debt/equity ratio for 2024 was 1.2, a 17.65% increase from 2023. Comstock Resources average debt/equity ratio for 2023 was 1.02, a 43.02% increase from 2022. Comstock Resources average debt/equity ratio for 2022 was 1.79, a 42.07% decline from 2021. Debt/equity ratio can be defined as a measure of a company's financial leverage calculated by dividing its long-term debt by stockholders' equity.

  2. End-Use Load Profiles for the U.S. Building Stock

    • data.openei.org
    • gimi9.com
    • +3more
    data, image_document +1
    Updated Oct 14, 2021
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    Eric Wilson; Andrew Parker; Anthony Fontanini; Elaina Present; Janet Reyna; Rajendra Adhikari; Carlo Bianchi; Christopher CaraDonna; Matthew Dahlhausen; Janghyun Kim; Amy LeBar; Lixi Liu; Marlena Praprost; Philip White; Liang Zhang; Peter DeWitt; Noel Merket; Andrew Speake; Tianzhen Hong; Han Li; Natalie Mims Frick; Zhe Wang; Aileen Blair; Henry Horsey; David Roberts; Kim Trenbath; Oluwatobi Adekanye; Eric Bonnema; Rawad El Kontar; Jonathan Gonzalez; Scott Horowitz; Dalton Jones; Ralph Muehleisen; Siby Platthotam; Matthew Reynolds; Joseph Robertson; Kevin Sayers; Qu Li; Eric Wilson; Andrew Parker; Anthony Fontanini; Elaina Present; Janet Reyna; Rajendra Adhikari; Carlo Bianchi; Christopher CaraDonna; Matthew Dahlhausen; Janghyun Kim; Amy LeBar; Lixi Liu; Marlena Praprost; Philip White; Liang Zhang; Peter DeWitt; Noel Merket; Andrew Speake; Tianzhen Hong; Han Li; Natalie Mims Frick; Zhe Wang; Aileen Blair; Henry Horsey; David Roberts; Kim Trenbath; Oluwatobi Adekanye; Eric Bonnema; Rawad El Kontar; Jonathan Gonzalez; Scott Horowitz; Dalton Jones; Ralph Muehleisen; Siby Platthotam; Matthew Reynolds; Joseph Robertson; Kevin Sayers; Qu Li (2021). End-Use Load Profiles for the U.S. Building Stock [Dataset]. http://doi.org/10.25984/1876417
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    data, website, image_documentAvailable download formats
    Dataset updated
    Oct 14, 2021
    Dataset provided by
    United States Department of Energyhttp://energy.gov/
    National Renewable Energy Laboratory (NREL)
    Open Energy Data Initiative (OEDI)
    Authors
    Eric Wilson; Andrew Parker; Anthony Fontanini; Elaina Present; Janet Reyna; Rajendra Adhikari; Carlo Bianchi; Christopher CaraDonna; Matthew Dahlhausen; Janghyun Kim; Amy LeBar; Lixi Liu; Marlena Praprost; Philip White; Liang Zhang; Peter DeWitt; Noel Merket; Andrew Speake; Tianzhen Hong; Han Li; Natalie Mims Frick; Zhe Wang; Aileen Blair; Henry Horsey; David Roberts; Kim Trenbath; Oluwatobi Adekanye; Eric Bonnema; Rawad El Kontar; Jonathan Gonzalez; Scott Horowitz; Dalton Jones; Ralph Muehleisen; Siby Platthotam; Matthew Reynolds; Joseph Robertson; Kevin Sayers; Qu Li; Eric Wilson; Andrew Parker; Anthony Fontanini; Elaina Present; Janet Reyna; Rajendra Adhikari; Carlo Bianchi; Christopher CaraDonna; Matthew Dahlhausen; Janghyun Kim; Amy LeBar; Lixi Liu; Marlena Praprost; Philip White; Liang Zhang; Peter DeWitt; Noel Merket; Andrew Speake; Tianzhen Hong; Han Li; Natalie Mims Frick; Zhe Wang; Aileen Blair; Henry Horsey; David Roberts; Kim Trenbath; Oluwatobi Adekanye; Eric Bonnema; Rawad El Kontar; Jonathan Gonzalez; Scott Horowitz; Dalton Jones; Ralph Muehleisen; Siby Platthotam; Matthew Reynolds; Joseph Robertson; Kevin Sayers; Qu Li
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    The United States is embarking on an ambitious transition to a 100% clean energy economy by 2050, which will require improving the flexibility of electric grids. One way to achieve grid flexibility is to shed or shift demand to align with changing grid needs. To facilitate this, it is critical to understand how and when energy is used. High quality end-use load profiles (EULPs) provide this information, and can help cities, states, and utilities understand the time-sensitive value of energy efficiency, demand response, and distributed energy resources. Publicly available EULPs have traditionally had limited application because of age and incomplete geographic representation. To help fill this gap, the U.S. Department of Energy (DOE) funded a three-year project, End-Use Load Profiles for the U.S. Building Stock, that culminated in this publicly available dataset of calibrated and validated 15-minute resolution load profiles for all major residential and commercial building types and end uses, across all climate regions in the United States. These EULPs were created by calibrating the ResStock and ComStock physics-based building stock models using many different measured datasets, as described in the "Technical Report Documenting Methodology" linked in the submission.

  3. M

    Comstock Holding Receiveable Turnover 2010-2025 | CHCI

    • macrotrends.net
    csv
    Updated Jul 31, 2025
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    MACROTRENDS (2025). Comstock Holding Receiveable Turnover 2010-2025 | CHCI [Dataset]. https://www.macrotrends.net/stocks/charts/CHCI/comstock-holding/receiveable-turnover
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jul 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2010 - 2025
    Area covered
    United States
    Description

    Comstock Holding receiveable turnover from 2010 to 2025. Receiveable turnover can be defined as an accounting measure used to quantify a firm's effectiveness in extending credit as well as collecting debts.

  4. M

    Comstock Number of Employees 2010-2025 | LODE

    • macrotrends.net
    csv
    Updated Jul 31, 2025
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    MACROTRENDS (2025). Comstock Number of Employees 2010-2025 | LODE [Dataset]. https://www.macrotrends.net/stocks/charts/LODE/comstock/number-of-employees
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jul 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2010 - 2025
    Area covered
    United States
    Description

    Comstock number of employees from 2010 to 2025. Number of employees can be defined as a measure of financial performance calculated as operating cash flow minus capital expenditures, expressed on a per share basis

  5. ARM - Midlatitude Continental Convective Clouds (comstock-hvps)

    • osti.gov
    Updated Jan 6, 2012
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    Comstock, Jennifer; Genio, Anthony Del; Giangrande, Scott; Jensen, Mike; Kollias, Pavlos (2012). ARM - Midlatitude Continental Convective Clouds (comstock-hvps) [Dataset]. https://www.osti.gov/dataexplorer/biblio/dataset/1073033
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    Dataset updated
    Jan 6, 2012
    Dataset provided by
    Office of Sciencehttp://www.er.doe.gov/
    Department of Energy Biological and Environmental Research Program
    Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Atmospheric Radiation Measurement (ARM) Archive
    Authors
    Comstock, Jennifer; Genio, Anthony Del; Giangrande, Scott; Jensen, Mike; Kollias, Pavlos
    Description

    Convective processes play a critical role in the Earth's energy balance through the redistribution of heat and moisture in the atmosphere and their link to the hydrological cycle. Accurate representation of convective processes in numerical models is vital towards improving current and future simulations of Earths climate system. Despite improvements in computing power, current operational weather and global climate models are unable to resolve the natural temporal and spatial scales important to convective processes and therefore must turn to parameterization schemes to represent these processes. In turn, parameterization schemes in cloud-resolving models need to be evaluated for their generality and application to a variety of atmospheric conditions. Data from field campaigns with appropriate forcing descriptors have been traditionally used by modelers for evaluating and improving parameterization schemes.

  6. Kellogg Biological Station site, station Kalamazoo River at Comstock, MI...

    • search.dataone.org
    • portal.edirepository.org
    Updated Mar 11, 2015
    + more versions
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    Kellogg Biological Station; Climate and Hydrology Database Projects (CLIMDB/HYDRODB); EcoTrends Project (2015). Kellogg Biological Station site, station Kalamazoo River at Comstock, MI (USGS), study of mean daily streamflow in units of litersPerSecond on a monthly timescale [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fecotrends%2F10032%2F2
    Explore at:
    Dataset updated
    Mar 11, 2015
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Kellogg Biological Station; Climate and Hydrology Database Projects (CLIMDB/HYDRODB); EcoTrends Project
    Time period covered
    Apr 1, 1931 - Jan 31, 2009
    Area covered
    Variables measured
    YEAR, MONTH, S_DEV, S_ERR, ID_OBS, N_TRACE, N_INVALID, N_MISSING, N_EXPECTED, N_OBSERVED, and 4 more
    Description

    The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Kellogg Biological Station (KBS) contains mean daily streamflow measurements in litersPerSecond units and were aggregated to a monthly timescale.

  7. M

    Comstock Holding ROE - Return on Equity 2010-2025 | CHCI

    • macrotrends.net
    csv
    Updated Jul 31, 2025
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    MACROTRENDS (2025). Comstock Holding ROE - Return on Equity 2010-2025 | CHCI [Dataset]. https://www.macrotrends.net/stocks/charts/CHCI/comstock-holding/roe
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jul 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2010 - 2025
    Area covered
    United States
    Description

    Comstock Holding roe - return on equity from 2010 to 2025. Roe - return on equity can be defined as the amount of net income returned as a percentage of shareholders equity. Return on equity measures a corporation's profitability by revealing how much profit a company generates with the money shareholders have invested.

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MACROTRENDS (2025). Comstock Resources Debt/Equity Ratio 2010-2025 | CRK [Dataset]. https://www.macrotrends.net/stocks/charts/CRK/comstock-resources/debt-equity-ratio

Comstock Resources Debt/Equity Ratio 2010-2025 | CRK

Comstock Resources Debt/Equity Ratio 2010-2025 | CRK

Explore at:
csvAvailable download formats
Dataset updated
Jul 31, 2025
Dataset authored and provided by
MACROTRENDS
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
2010 - 2025
Area covered
United States
Description

Comstock Resources debt/equity ratio for the quarter ending March 31, 2025 was 1.34. Comstock Resources average debt/equity ratio for 2024 was 1.2, a 17.65% increase from 2023. Comstock Resources average debt/equity ratio for 2023 was 1.02, a 43.02% increase from 2022. Comstock Resources average debt/equity ratio for 2022 was 1.79, a 42.07% decline from 2021. Debt/equity ratio can be defined as a measure of a company's financial leverage calculated by dividing its long-term debt by stockholders' equity.

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