Mks (MKSI) EV to EBITDA (2010 - 2026)
Mks' (MKSI) EV to EBITDA came in at 28.82 for Q2 2026, up 310.5% from 7.02 a year earlier and up 75.7% from the prior quarter.
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Analysis
Mks (MKSI) EV to EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EV to EBITDA at Mks was 26.92, up 510.1% year-over-year; for FY2025, it came in at 11.54, up 54.4% from FY2024.
- In prior years, Mks' EV to EBITDA was 7.47 in FY2024, 5.68 in FY2022 (-47.1%) and 10.74 in FY2021 (-20.5%).
- The Q2 2026 figure stands as the highest quarterly EV to EBITDA in data going back to Q2 2010.
- On a year-over-year basis, EV to EBITDA has increased in each of the last four quarters, with growth averaging 105.3% over the last five quarters.
- The strongest year-over-year quarter for EV to EBITDA in the past five years was Q2 2026, with growth of 310.5%; the weakest was Q2 2022, with a decline of 54.1%.
- According to Business Quant data, EV to EBITDA for the three prior quarters was 16.41 (Q1 2026), 11.57 (Q4 2025) and 8.83 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,503.96 Bn | 5,278.12 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,366.45 Bn | 1,992.15 Bn | 27.22 Bn |
| 3 | Broadcom | 1,676.58 Bn | 1,602.63 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,202.51 Bn | 1,141.27 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 998.39 Bn | 955.14 Bn | 6.20 Bn |
| 6 | Asml Holding | 698.25 Bn | 654.08 Bn | 5.90 Bn |
| 7 | Intel | 606.32 Bn | 491.05 Bn | 6.51 Bn |
| 8 | Lam Research | 411.06 Bn | 387.85 Bn | 3.48 Bn |
| 9 | Applied Materials | 405.83 Bn | 371.27 Bn | 4.59 Bn |
| 10 | Mks | 17.94 Bn | 15.39 Bn | 595.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.82 |
| Mar 31, 2026 | 16.41 |
| Dec 31, 2025 | 11.57 |
| Sep 30, 2025 | 8.83 |
| Jun 30, 2025 | 7.02 |
| Mar 31, 2025 | 5.56 |
| Dec 31, 2024 | 7.49 |
| Sep 30, 2024 | 8.70 |
| Jun 30, 2024 | 10.75 |
| Mar 31, 2023 | 6.79 |
| Dec 31, 2022 | 5.68 |
| Sep 30, 2022 | 5.88 |
| Jun 30, 2022 | 5.78 |
| Mar 31, 2022 | 8.85 |
| Dec 31, 2021 | 10.73 |
| Sep 30, 2021 | 9.82 |
| Jun 30, 2021 | 12.59 |
| Mar 31, 2021 | 15.19 |
| Dec 31, 2020 | 13.51 |
| Sep 30, 2020 | 11.08 |
API Access
Mks EV to EBITDA 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=ev-to-ebitda&ticker=MKSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=MKSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();