Netlist SG&A Expenses 2010-2024 | NLST
Netlist sg&a expenses from 2010 to 2024. Sg&a expenses can be defined as the sum of all selling, general and administrative expenses.
Netlist Annual SG&A Expenses
(Millions of US $) |
| 2023 |
$12 |
| 2022 |
$14 |
| 2021 |
$11 |
| 2020 |
$8 |
| 2019 |
$8 |
| 2018 |
$7 |
| 2017 |
$7 |
| 2016 |
$9 |
| 2015 |
$8 |
| 2014 |
$7 |
| 2013 |
$6 |
| 2012 |
$10 |
| 2011 |
$11 |
| 2010 |
$11 |
| 2009 |
$8 |
Netlist Quarterly SG&A Expenses
(Millions of US $) |
| 2024-09-30 |
$3 |
| 2024-06-30 |
$3 |
| 2024-03-31 |
$3 |
| 2023-12-31 |
$3 |
| 2023-09-30 |
$3 |
| 2023-06-30 |
$3 |
| 2023-03-31 |
$3 |
| 2022-12-31 |
$3 |
| 2022-09-30 |
$4 |
| 2022-06-30 |
$4 |
| 2022-03-31 |
$4 |
| 2021-12-31 |
$3 |
| 2021-09-30 |
$3 |
| 2021-06-30 |
$3 |
| 2021-03-31 |
$2 |
| 2020-12-31 |
$2 |
| 2020-09-30 |
$2 |
| 2020-06-30 |
$2 |
| 2020-03-31 |
$2 |
| 2019-12-31 |
$2 |
| 2019-09-30 |
$2 |
| 2019-06-30 |
$2 |
| 2019-03-31 |
$2 |
| 2018-12-31 |
$2 |
| 2018-09-30 |
$2 |
| 2018-06-30 |
$2 |
| 2018-03-31 |
$2 |
| 2017-12-31 |
$2 |
| 2017-09-30 |
$2 |
| 2017-06-30 |
$2 |
| 2017-03-31 |
$2 |
| 2016-12-31 |
$2 |
| 2016-09-30 |
$2 |
| 2016-06-30 |
$2 |
| 2016-03-31 |
$2 |
| 2015-12-31 |
$3 |
| 2015-09-30 |
$2 |
| 2015-06-30 |
$2 |
| 2015-03-31 |
$2 |
| 2014-12-31 |
$2 |
| 2014-09-30 |
$2 |
| 2014-06-30 |
$2 |
| 2014-03-31 |
$2 |
| 2013-12-31 |
$1 |
| 2013-09-30 |
$2 |
| 2013-06-30 |
$2 |
| 2013-03-31 |
$2 |
| 2012-12-31 |
$2 |
| 2012-09-30 |
$2 |
| 2012-06-30 |
$3 |
| 2012-03-31 |
$3 |
| 2011-12-31 |
$3 |
| 2011-09-30 |
$3 |
| 2011-06-30 |
$3 |
| 2011-03-31 |
$3 |
| 2010-12-31 |
$3 |
| 2010-09-30 |
$3 |
| 2010-06-30 |
$3 |
| 2010-03-31 |
$3 |
| 2009-12-31 |
$2 |
| 2009-09-30 |
$2 |
| 2009-06-30 |
$2 |
| 2009-03-31 |
$2 |
| Sector |
Industry |
Market Cap |
Revenue |
| Computer and Technology |
Computer Storage Devices |
$0.256B |
$0.069B |
|
Netlist, Inc. designs and manufactures high performance memory subsystems for the server, high performance computing and communications markets. The company's memory subsystems are developed for applications in which memory plays a key role in enabling overall system performance. These applications include tower servers, rack-mounted servers, blade servers, high performance computing clusters, engineering workstations and telecommunication switches.
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