Mks (MKSI) EBITDA Margin (2009 - 2026)
Mks' EBITDA Margin was 26.92% in Q2 2026, up 4.11 percentage points from 22.82% a year earlier and up 5.22 percentage points from the prior quarter.
Mks (MKSI) EBITDA Margin (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Mks' EBITDA Margin was 23.51% through Jun 30, 2026, up 0.64 percentage points year-over-year; for FY2025, it came in at 22.18%, down 1.41 percentage points from FY2024.
- EBITDA Margin shows a five-year change of -1.55 percentage points (FY2020 to FY2025).
- In earlier years, EBITDA Margin was 23.59% in FY2024 (+55.54 pp), -31.94% in FY2023 (-55.43 pp), 23.48% in FY2022 (-3.74 pp) and 27.22% in FY2021 (+3.49 pp).
- The Q2 2026 figure marks the highest quarterly EBITDA Margin since Q1 2022.
- Compared with a year earlier, EBITDA Margin was higher in four of the last eight quarters, with an average year-over-year change of +1.36 percentage points.
- The best year-over-year quarter for EBITDA Margin over five years was Q2 2024 (a gain of 183.04 percentage points); the worst was Q2 2023 (a drop of 184.12 percentage points).
- Per Business Quant data, MKSI's EBITDA Margin in the three quarters before Q2 2026 was 21.71% (Q1 2026), 22.17% (Q4 2025) and 22.57% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,136.26 Bn | 4,910.42 Bn | 72.14 Bn | 67.41% |
| 2 | Taiwan Semiconductor Manufacturing | 2,136.54 Bn | 1,761.41 Bn | 27.22 Bn | 75.79% |
| 3 | Broadcom | 1,540.90 Bn | 1,466.94 Bn | 20.46 Bn | 61.62% |
| 4 | Micron Technology | 967.10 Bn | 872.74 Bn | 47.05 Bn | 85.55% |
| 5 | Advanced Micro Devices | 829.08 Bn | 785.83 Bn | 6.20 Bn | 23.88% |
| 6 | Asml Holding | 608.19 Bn | 563.87 Bn | 5.90 Bn | - |
| 7 | Intel | 435.73 Bn | 304.86 Bn | 6.51 Bn | 31.13% |
| 8 | Applied Materials | 298.50 Bn | 263.94 Bn | 4.59 Bn | 35.39% |
| 9 | Lam Research | 288.46 Bn | 265.26 Bn | 3.48 Bn | 39.17% |
| 10 | Mks | 13.26 Bn | 10.71 Bn | 595.00 Mn | 27.24% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.24% |
| Mar 31, 2026 | 22.08% |
| Dec 31, 2025 | 22.75% |
| Sep 30, 2025 | 23.28% |
| Jun 30, 2025 | 23.54% |
| Mar 31, 2025 | 21.58% |
| Dec 31, 2024 | 24.52% |
| Sep 30, 2024 | 24.78% |
| Jun 30, 2024 | 24.92% |
| Mar 31, 2024 | 23.27% |
| Dec 31, 2023 | 14.57% |
| Sep 30, 2023 | 23.50% |
| Jun 30, 2023 | -158.33% |
| Mar 31, 2023 | 14.61% |
| Dec 31, 2022 | 24.77% |
| Sep 30, 2022 | 23.90% |
| Jun 30, 2022 | 25.10% |
| Mar 31, 2022 | 26.95% |
| Dec 31, 2021 | 27.49% |
| Sep 30, 2021 | 27.39% |
Mks EBITDA Margin 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=ebitda-margin&ticker=MKSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=MKSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();