Himax Technologies (HIMX) Other Accumulated Expenses (2013 - 2026)
Himax Technologies (HIMX) posted Other Accumulated Expenses of $105.59 million for Q2 2026, down 13.9% from $122.68 million a year earlier but up 93.9% from the prior quarter.
Himax Technologies (HIMX) Other Accumulated Expenses (2013 - 2026) Analysis & Trends
At the end of FY2025, Himax Technologies' Other Accumulated Expenses came in at $68.44 million, up 7.6% from FY2024.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of 8.2% (FY2020 to FY2025).
- In prior years, Himax Technologies' Other Accumulated Expenses was $63.6 million in FY2024 (-41.8%), $109.29 million in FY2023 (+44.7%), $75.54 million in FY2022 (+26.9%) and $59.54 million in FY2021 (+29.1%).
- Quarterly Other Accumulated Expenses has run from a low of $43.63 million in Q3 2021 to a high of $286.61 million in Q2 2022 over five years.
- On a year-over-year basis, Other Accumulated Expenses increased in four of the last eight quarters, with an average decline of 15.9%.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q2 2022, with growth of 223.8%; the weakest was Q1 2025, with a decline of 56.7%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $54.44 million (Q1 2026), $68.44 million (Q4 2025) and $54.77 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | Himax Technologies | 5.32 Bn | 4.02 Bn | -152.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 105.59 Mn |
| Mar 31, 2026 | 54.44 Mn |
| Dec 31, 2025 | 68.44 Mn |
| Sep 30, 2025 | 54.77 Mn |
| Jun 30, 2025 | 122.68 Mn |
| Mar 31, 2025 | 50.44 Mn |
| Dec 31, 2024 | 63.60 Mn |
| Sep 30, 2024 | 54.67 Mn |
| Jun 30, 2024 | 112.83 Mn |
| Mar 31, 2024 | 116.56 Mn |
| Dec 31, 2023 | 109.29 Mn |
| Sep 30, 2023 | 89.34 Mn |
| Jun 30, 2023 | 176.38 Mn |
| Mar 31, 2023 | 81.94 Mn |
| Dec 31, 2022 | 75.54 Mn |
| Sep 30, 2022 | 65.94 Mn |
| Jun 30, 2022 | 286.61 Mn |
| Mar 31, 2022 | 69.91 Mn |
| Dec 31, 2021 | 59.54 Mn |
| Sep 30, 2021 | 43.63 Mn |
Himax Technologies Other 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=other-accumulated-expenses&ticker=HIMX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "HIMX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=HIMX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();