Himax Technologies (HIMX) Operating Expenses (2009 - 2026)
Himax Technologies (HIMX) reported Operating Expenses of $202.81 million for Q2 2026, up 3.1% from $196.69 million a year earlier and up 7.4% from the prior quarter.
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Analysis
Himax Technologies (HIMX) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Himax Technologies' Operating Expenses came in at $787.69 million, down 4.3% year-over-year; for FY2025, it came in at $788.05 million, down 6.0% from FY2024.
- Operating Expenses has declined for four consecutive years, with a five-year compound annual growth rate of -1.0% (FY2020 to FY2025).
- By year, Operating Expenses came in at $838.58 million in FY2024 (-7.1%), $902.22 million in FY2023 (-4.4%), $943.75 million in FY2022 (-5.8%) and $1 billion in FY2021 (+20.8%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses since Q4 2024.
- Year over year, Operating Expenses gained in two of the last eight quarters, with an average decline of 3.4%.
- The high point for year-over-year Operating Expenses in five years was Q1 2022 (growth of 20.6%); the low point was Q3 2022 (a decline of 23.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $188.85 million (Q1 2026), $196.25 million (Q4 2025) and $199.78 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 8.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 4.50 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 1.72 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 4.21 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 4.71 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 965.25 Mn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 1.51 Bn |
| 10 | Himax Technologies | 5.32 Bn | 4.02 Bn | -152.10 Mn | 202.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 202.81 Mn |
| Mar 31, 2026 | 188.85 Mn |
| Dec 31, 2025 | 196.25 Mn |
| Sep 30, 2025 | 199.78 Mn |
| Jun 30, 2025 | 196.69 Mn |
| Mar 31, 2025 | 195.33 Mn |
| Dec 31, 2024 | 214.14 Mn |
| Sep 30, 2024 | 216.55 Mn |
| Jun 30, 2024 | 210.37 Mn |
| Mar 31, 2024 | 197.52 Mn |
| Dec 31, 2023 | 211.00 Mn |
| Sep 30, 2023 | 227.43 Mn |
| Jun 30, 2023 | 237.17 Mn |
| Mar 31, 2023 | 226.62 Mn |
| Dec 31, 2022 | 234.76 Mn |
| Sep 30, 2022 | 209.69 Mn |
| Jun 30, 2022 | 228.84 Mn |
| Mar 31, 2022 | 270.46 Mn |
| Dec 31, 2021 | 273.94 Mn |
| Sep 30, 2021 | 272.69 Mn |
API Access
Himax Technologies Operating 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=operating-expenses&ticker=HIMX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=HIMX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();