Mks (MKSI) EBITDA (2009 - 2026)
Mks (MKSI) reported EBITDA of $336 million for Q2 2026, up 51.4% from $222 million a year earlier and up 43.6% from the prior quarter.
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Analysis
Mks (MKSI) EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Mks' EBITDA came in at $1.02 billion, up 19.5% year-over-year; for FY2025, it came in at $872 million, up 3.1% from FY2024.
- EBITDA has a five-year compound annual growth rate of 9.5% (FY2020 to FY2025).
- By year, EBITDA came in at $846 million in FY2024, -$1.16 billion in FY2023, $833 million in FY2022 (+3.7%) and $803 million in FY2021 (+45.2%).
- The Q2 2026 figure ranks as the highest quarterly EBITDA in data going back to Q3 2009.
- Year over year, EBITDA has now increased in each of the last eight quarters, with growth averaging 21.2% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was Q4 2024 (growth of 85.0%); the low point was Q4 2023 (a decline of 53.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $234 million (Q1 2026), $229 million (Q4 2025) and $223 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,503.96 Bn | 5,278.12 Bn | 72.14 Bn | 64.86 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 | 18.17 Bn |
| 4 | Micron Technology | 1,202.51 Bn | 1,141.27 Bn | 35.06 Bn | 35.68 Bn |
| 5 | Advanced Micro Devices | 998.39 Bn | 955.14 Bn | 6.20 Bn | 2.76 Bn |
| 6 | Asml Holding | 698.25 Bn | 654.08 Bn | 5.90 Bn | - |
| 7 | Intel | 606.32 Bn | 491.05 Bn | 6.51 Bn | 5.02 Bn |
| 8 | Lam Research | 411.06 Bn | 387.85 Bn | 3.48 Bn | 2.63 Bn |
| 9 | Applied Materials | 405.83 Bn | 371.27 Bn | 4.59 Bn | 3.23 Bn |
| 10 | Mks | 17.94 Bn | 15.39 Bn | 595.00 Mn | 336.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 336.00 Mn |
| Mar 31, 2026 | 234.00 Mn |
| Dec 31, 2025 | 229.00 Mn |
| Sep 30, 2025 | 223.00 Mn |
| Jun 30, 2025 | 222.00 Mn |
| Mar 31, 2025 | 196.00 Mn |
| Dec 31, 2024 | 222.00 Mn |
| Sep 30, 2024 | 215.00 Mn |
| Jun 30, 2024 | 213.00 Mn |
| Mar 31, 2024 | 194.00 Mn |
| Dec 31, 2023 | 120.00 Mn |
| Sep 30, 2023 | 211.00 Mn |
| Jun 30, 2023 | -1.60 Bn |
| Mar 31, 2023 | 108.00 Mn |
| Dec 31, 2022 | 259.00 Mn |
| Sep 30, 2022 | 182.00 Mn |
| Jun 30, 2022 | 192.00 Mn |
| Mar 31, 2022 | 200.00 Mn |
| Dec 31, 2021 | 210.00 Mn |
| Sep 30, 2021 | 202.40 Mn |
API Access
Mks 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=ebitda&ticker=MKSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=ebitda&ticker=MKSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();