AMD Pre-Paid Expenses 2012-2026 | AMD

AMD pre-paid expenses from 2012 to 2026. 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.
  • AMD pre-paid expenses for the quarter ending March 31, 2026 were $2.201B, a 9.27% decline year-over-year.
  • AMD pre-paid expenses for 2025 were $2.16B, a 15.02% increase from 2024.
  • AMD pre-paid expenses for 2024 were $1.878B, a 18.77% decline from 2023.
  • AMD pre-paid expenses for 2023 were $2.312B, a 82.77% increase from 2022.
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AMD Annual Pre-Paid Expenses
(Millions of US $)
2025 $2,160
2024 $1,878
2023 $2,312
2022 $1,265
2021 $312
2020 $378
2019 $233
2018 $304
2017 $110
2016 $95
2015 $76
2014 $145
2013 $71
2012 $71
2011 $69
AMD Quarterly Pre-Paid Expenses
(Millions of US $)
2026-03-31 $2,201
2025-12-31 $2,160
2025-09-30 $2,253
2025-06-30 $2,534
2025-03-31 $2,426
2024-12-31 $1,991
2024-09-30 $1,547
2024-06-30 $1,361
2024-03-31 $1,328
2023-12-31 $2,312
2023-09-30 $1,403
2023-06-30 $1,339
2023-03-31 $1,442
2022-12-31 $1,265
2022-09-30 $1,120
2022-06-30 $769
2022-03-31 $725
2021-12-31 $312
2021-09-30 $249
2021-06-30 $234
2021-03-31 $243
2020-12-31 $378
2020-09-30 $299
2020-06-30 $211
2020-03-31 $258
2019-12-31 $233
2019-09-30 $270
2019-06-30 $278
2019-03-31 $115
2018-12-31 $304
2018-09-30 $113
2018-06-30 $93
2018-03-31 $85
2017-12-31 $110
2017-09-30 $98
2017-06-30 $78
2017-03-31 $104
2016-12-31 $95
2016-09-30 $76
2016-06-30 $80
2016-03-31 $75
2015-12-31 $76
2015-09-30 $83
2015-06-30 $136
2015-03-31 $132
2014-12-31 $145
2014-09-30 $212
2014-06-30 $152
2014-03-31 $79
2013-12-31 $71
2013-09-30 $84
2013-06-30 $109
2013-03-31 $77
2012-12-31 $71
2012-09-30 $88
2012-06-30 $77
2012-03-31 $104
2011-12-31 $69
2011-09-30 $157
2011-06-30 $176
Sector Industry Market Cap Revenue
Computer and Technology Computers - Integrated Systems $399.498B $34.639B
Advanced Micro Devices offers the industry?s broadest portfolio of leadership high-performance and adaptive processor technologies, combining CPUs, GPUs, FPGAs, Adaptive SoCs and deep software expertise to enable leadership computing platforms for cloud, edge and end devices.
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