Quantum Pre-Paid Expenses 2010-2024 | QMCO
Quantum pre-paid expenses from 2010 to 2024. Pre-paid expenses can be defined as a current asset created by prepayment of costs and expenses for which the benefits will occur at a future date.
Quantum Annual Pre-Paid Expenses (Millions of US $) |
2024 |
$2 |
2023 |
$4 |
2022 |
$8 |
2021 |
$4 |
2020 |
$ |
2019 |
$ |
2018 |
$ |
2017 |
$ |
2016 |
$ |
2015 |
$ |
2014 |
$ |
2013 |
$ |
2012 |
$ |
2011 |
$ |
2010 |
$ |
2009 |
$ |
Quantum Quarterly Pre-Paid Expenses (Millions of US $) |
2024-09-30 |
$4 |
2024-06-30 |
$4 |
2024-03-31 |
$2 |
2023-12-31 |
$4 |
2023-09-30 |
$4 |
2023-06-30 |
$6 |
2023-03-31 |
$4 |
2022-12-31 |
$7 |
2022-09-30 |
$9 |
2022-06-30 |
$11 |
2022-03-31 |
$8 |
2021-12-31 |
|
2021-09-30 |
|
2021-06-30 |
|
2021-03-31 |
$4 |
2020-12-31 |
|
2020-09-30 |
|
2020-06-30 |
|
2020-03-31 |
|
2019-12-31 |
|
2019-09-30 |
|
2019-06-30 |
|
2019-03-31 |
|
2018-12-31 |
|
2018-09-30 |
|
2018-06-30 |
|
2018-03-31 |
|
2017-12-31 |
|
2017-09-30 |
|
2017-06-30 |
|
2017-03-31 |
|
2016-12-31 |
|
2016-09-30 |
|
2016-06-30 |
|
2016-03-31 |
|
2015-12-31 |
|
2015-09-30 |
|
2015-06-30 |
|
2015-03-31 |
|
2014-12-31 |
|
2014-09-30 |
|
2014-06-30 |
|
2014-03-31 |
|
2013-12-31 |
|
2013-09-30 |
|
2013-06-30 |
|
2013-03-31 |
|
2012-12-31 |
|
2012-09-30 |
|
2012-06-30 |
|
2012-03-31 |
|
2011-12-31 |
|
2011-09-30 |
|
2011-06-30 |
|
2011-03-31 |
|
2010-12-31 |
|
2010-09-30 |
|
2010-06-30 |
|
2010-03-31 |
|
2009-12-31 |
|
2009-09-30 |
|
2009-06-30 |
|
2009-03-31 |
|
Sector |
Industry |
Market Cap |
Revenue |
Computer and Technology |
Computer Storage Devices |
$0.014B |
$0.312B |
Quantum is a leading expert in scale-out storage, archive and data protection, providing solutions for capturing, sharing and preserving digital assets over the entire data lifecycle. From small businesses to major enterprises, more than 100,000 customers have trusted Quantum to address their most demanding data workflow challenges. With Quantum, customers can be certain they have the end-to-end storage foundation to maximize the value of their data by making it accessible whenever and wherever needed, retaining it indefinitely and reducing total cost and complexity.
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