Mks (MKSI) Return on Sales [ROS] (2009 - 2026)
Mks' Return on Sales [ROS] was 20.11% in Q2 2026, up 6.24 percentage points from 13.87% a year earlier and up 6.29 percentage points from the prior quarter.
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Analysis
Mks (MKSI) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Mks' Return on Sales [ROS] was 15.67% through Jun 30, 2026, up 2.03 percentage points year-over-year; for FY2025, it came in at 13.43%, down 0.46 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -6.05 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 13.89% in FY2024 (+56.79 pp), -42.90% in FY2023 (-60.30 pp), 17.39% in FY2022 (-6.30 pp) and 23.69% in FY2021 (+4.21 pp).
- The Q2 2026 figure marks the highest quarterly Return on Sales [ROS] since Q2 2022.
- Compared with a year earlier, Return on Sales [ROS] was higher in four of the last eight quarters, with an average year-over-year change of +2.48 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q2 2024 (a gain of 183.41 percentage points); the worst was Q2 2023 (a drop of 190.53 percentage points).
- Per Business Quant data, MKSI's Return on Sales [ROS] in the three quarters before Q2 2026 was 13.82% (Q1 2026), 13.84% (Q4 2025) and 13.97% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 66.24% |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 60.34% |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 53.92% |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 80.37% |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 17.25% |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 11.14% |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 37.39% |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 33.74% |
| 10 | Mks | 18.87 Bn | 16.32 Bn | 595.00 Mn | 20.11% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.11% |
| Mar 31, 2026 | 13.82% |
| Dec 31, 2025 | 13.84% |
| Sep 30, 2025 | 13.97% |
| Jun 30, 2025 | 13.87% |
| Mar 31, 2025 | 11.86% |
| Dec 31, 2024 | 14.56% |
| Sep 30, 2024 | 14.29% |
| Jun 30, 2024 | 14.32% |
| Mar 31, 2024 | 12.21% |
| Dec 31, 2023 | 2.69% |
| Sep 30, 2023 | 12.66% |
| Jun 30, 2023 | -169.09% |
| Mar 31, 2023 | 0.13% |
| Dec 31, 2022 | 15.01% |
| Sep 30, 2022 | 12.37% |
| Jun 30, 2022 | 21.44% |
| Mar 31, 2022 | 23.18% |
| Dec 31, 2021 | 23.82% |
| Sep 30, 2021 | 23.58% |
API Access
Mks Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=MKSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=MKSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();