Amkor Technology (AMKR) Accumulated Expenses (2009 - 2026)
Amkor Technology's Accumulated Expenses was $447.29 million in Q2 2026, up 30.0% from $344.1 million a year earlier and up 22.4% from the prior quarter.
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Analysis
Amkor Technology (AMKR) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Amkor Technology came in at $370.09 million, up 3.9% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 4.3% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $356.34 million in FY2024 (-0.6%), $358.41 million in FY2023 (-10.8%), $401.84 million in FY2022 (-5.0%) and $422.89 million in FY2021 (+41.2%).
- The Q2 2026 figure marks the highest quarterly Accumulated Expenses in data going back to Q4 2009.
- Compared with a year earlier, Accumulated Expenses has increased for six straight quarters, with growth averaging 9.3% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q4 2021 (growth of 41.2%); the worst was Q1 2024 (a decline of 14.2%).
- Per Business Quant data, AMKR's Accumulated Expenses in the three quarters before Q2 2026 was $365.34 million (Q1 2026), $370.09 million (Q4 2025) and $395.29 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,257.94 Bn | 5,032.10 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,182.39 Bn | 1,807.25 Bn | 27.22 Bn |
| 3 | Broadcom | 1,596.71 Bn | 1,522.75 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,020.41 Bn | 926.05 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 879.62 Bn | 836.36 Bn | 6.20 Bn |
| 6 | Asml Holding | 640.55 Bn | 596.23 Bn | 5.90 Bn |
| 7 | Intel | 470.49 Bn | 339.62 Bn | 6.51 Bn |
| 8 | Lam Research | 342.11 Bn | 318.91 Bn | 3.48 Bn |
| 9 | Applied Materials | 328.25 Bn | 293.69 Bn | 4.59 Bn |
| 10 | Amkor Technology | 10.39 Bn | 1.93 Bn | 318.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 447.29 Mn |
| Mar 31, 2026 | 365.34 Mn |
| Dec 31, 2025 | 370.09 Mn |
| Sep 30, 2025 | 395.29 Mn |
| Jun 30, 2025 | 344.10 Mn |
| Mar 31, 2025 | 332.73 Mn |
| Dec 31, 2024 | 356.34 Mn |
| Sep 30, 2024 | 315.26 Mn |
| Jun 30, 2024 | 318.75 Mn |
| Mar 31, 2024 | 309.98 Mn |
| Dec 31, 2023 | 358.41 Mn |
| Sep 30, 2023 | 346.91 Mn |
| Jun 30, 2023 | 354.52 Mn |
| Mar 31, 2023 | 361.17 Mn |
| Dec 31, 2022 | 401.84 Mn |
| Sep 30, 2022 | 381.01 Mn |
| Jun 30, 2022 | 385.11 Mn |
| Mar 31, 2022 | 374.32 Mn |
| Dec 31, 2021 | 422.89 Mn |
| Sep 30, 2021 | 389.07 Mn |
API Access
Amkor Technology Accumulated Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=AMKR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "AMKR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=AMKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();