Mks (MKSI) Operating Expenses (2009 - 2026)
Mks (MKSI) reported Operating Expenses of $282 million for Q2 2026, up 10.2% from $256 million a year earlier and up 2.9% from the prior quarter.
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Analysis
Mks (MKSI) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Mks' Operating Expenses came in at $1.09 billion, up 7.7% year-over-year; for FY2025, it was $1.16 billion, up 9.5% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 16.6% (FY2020 to FY2025).
- By year, Operating Expenses came in at $1.06 billion in FY2024 (-2.6%), $1.09 billion in FY2023 (+27.5%), $851 million in FY2022 (+28.2%) and $664 million in FY2021 (+23.9%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses in data going back to Q2 2009.
- Year over year, Operating Expenses has now increased in each of the last seven quarters, with growth averaging 7.2% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q1 2023 (growth of 65.8%); the low point was Q2 2024 (a decline of 11.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $274 million (Q1 2026), $273 million (Q4 2025) and $260 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,503.96 Bn | 5,278.12 Bn | 72.14 Bn | 8.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,366.45 Bn | 1,992.15 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Broadcom | 1,676.58 Bn | 1,602.63 Bn | 20.46 Bn | 4.50 Bn |
| 4 | Micron Technology | 1,202.51 Bn | 1,141.27 Bn | 35.06 Bn | 1.72 Bn |
| 5 | Advanced Micro Devices | 998.39 Bn | 955.14 Bn | 6.20 Bn | 4.21 Bn |
| 6 | Asml Holding | 698.25 Bn | 654.08 Bn | 5.90 Bn | - |
| 7 | Intel | 606.32 Bn | 491.05 Bn | 6.51 Bn | 4.71 Bn |
| 8 | Lam Research | 411.06 Bn | 387.85 Bn | 3.48 Bn | 965.25 Mn |
| 9 | Applied Materials | 405.83 Bn | 371.27 Bn | 4.59 Bn | 1.51 Bn |
| 10 | Mks | 17.94 Bn | 15.39 Bn | 595.00 Mn | 282.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 282.00 Mn |
| Mar 31, 2026 | 274.00 Mn |
| Dec 31, 2025 | 273.00 Mn |
| Sep 30, 2025 | 260.00 Mn |
| Jun 30, 2025 | 256.00 Mn |
| Mar 31, 2025 | 271.00 Mn |
| Dec 31, 2024 | 244.00 Mn |
| Sep 30, 2024 | 240.00 Mn |
| Jun 30, 2024 | 229.00 Mn |
| Mar 31, 2024 | 243.00 Mn |
| Dec 31, 2023 | 237.00 Mn |
| Sep 30, 2023 | 241.00 Mn |
| Jun 30, 2023 | 258.00 Mn |
| Mar 31, 2023 | 252.00 Mn |
| Dec 31, 2022 | 253.00 Mn |
| Sep 30, 2022 | 220.00 Mn |
| Jun 30, 2022 | 157.00 Mn |
| Mar 31, 2022 | 152.00 Mn |
| Dec 31, 2021 | 156.00 Mn |
| Sep 30, 2021 | 156.00 Mn |
API Access
Mks 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=MKSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MKSI", "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=MKSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();