Mks (MKSI) Cost of Revenue (2009 - 2026)
Mks' Cost of Revenue was $653 million in Q2 2026, up 25.6% from $520 million a year earlier and up 14.4% from the prior quarter.
Powered by 
Analysis
Mks (MKSI) Cost of Revenue (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Mks' Cost of Revenue was $2.31 billion through Jun 30, 2026, up 17.1% year-over-year; for FY2025, it came in at $2.09 billion, up 11.5% from FY2024.
- Cost of Revenue shows a five-year compound annual growth rate of 10.3% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $1.88 billion in FY2024 (-5.2%), $1.98 billion in FY2023 (-1.0%), $2 billion in FY2022 (+27.4%) and $1.57 billion in FY2021 (+22.6%).
- The Q2 2026 figure marks the highest quarterly Cost of Revenue in data going back to Q2 2009.
- Compared with a year earlier, Cost of Revenue has increased for seven straight quarters, with growth averaging 10.2% over the last eight quarters.
- The best year-over-year quarter for Cost of Revenue over five years was Q4 2022 (growth of 46.6%); the worst was Q4 2023 (a decline of 20.0%).
- Per Business Quant data, MKSI's Cost of Revenue in the three quarters before Q2 2026 was $571 million (Q1 2026), $554 million (Q4 2025) and $527 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 24.08 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 12.97 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 9.14 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 6.40 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 5.33 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 5.41 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 9.62 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 3.24 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 4.53 Bn |
| 10 | Mks | 18.87 Bn | 16.32 Bn | 595.00 Mn | 653.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 653.00 Mn |
| Mar 31, 2026 | 571.00 Mn |
| Dec 31, 2025 | 554.00 Mn |
| Sep 30, 2025 | 527.00 Mn |
| Jun 30, 2025 | 520.00 Mn |
| Mar 31, 2025 | 492.00 Mn |
| Dec 31, 2024 | 493.00 Mn |
| Sep 30, 2024 | 464.00 Mn |
| Jun 30, 2024 | 468.00 Mn |
| Mar 31, 2024 | 453.00 Mn |
| Dec 31, 2023 | 481.00 Mn |
| Sep 30, 2023 | 506.00 Mn |
| Jun 30, 2023 | 533.00 Mn |
| Mar 31, 2023 | 459.00 Mn |
| Dec 31, 2022 | 601.00 Mn |
| Sep 30, 2022 | 564.00 Mn |
| Jun 30, 2022 | 427.00 Mn |
| Mar 31, 2022 | 408.00 Mn |
| Dec 31, 2021 | 410.00 Mn |
| Sep 30, 2021 | 394.00 Mn |
API Access
Mks Cost of Revenue 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=cost-of-revenue&ticker=MKSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=MKSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();