Mks (MKSI) Restructuring Costs (2009 - 2026)
Mks' Restructuring Costs was $6 million in Q2 2026, up 20.0% from $5 million a year earlier and up 100.0% from the prior quarter.
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Analysis
Mks (MKSI) Restructuring Costs (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Mks' Restructuring Costs was $24 million through Jun 30, 2026, down 11.1% year-over-year; for FY2025, it was $37 million, up 311.1% from FY2024.
- Restructuring Costs shows a five-year compound annual growth rate of 29.9% (FY2020 to FY2025).
- In earlier years, Restructuring Costs was $9 million in FY2024 (-55.0%), $20 million in FY2023 (-61.5%), $52 million in FY2022 (+73.3%) and $30 million in FY2021 (+200.0%).
- Quarterly Restructuring Costs has moved between $2 million (Q2 2024) and $31 million (Q3 2022) over five years.
- Compared with a year earlier, Restructuring Costs was higher in five of the last eight quarters, with growth averaging 96.5%.
- The best year-over-year quarter for Restructuring Costs over five years was Q1 2025 (growth of 433.3%); the worst was Q3 2023 (a decline of 90.3%).
- Per Business Quant data, MKSI's Restructuring Costs in the three quarters before Q2 2026 was $3 million (Q1 2026), $11 million (Q4 2025) and $4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,369.70 Bn | 5,143.86 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,240.62 Bn | 1,865.48 Bn | 27.22 Bn |
| 3 | Broadcom | 1,610.24 Bn | 1,536.29 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,032.70 Bn | 938.34 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 903.31 Bn | 860.06 Bn | 6.20 Bn |
| 6 | Asml Holding | 651.41 Bn | 607.10 Bn | 5.90 Bn |
| 7 | Intel | 474.60 Bn | 343.73 Bn | 6.51 Bn |
| 8 | Lam Research | 327.65 Bn | 304.45 Bn | 3.48 Bn |
| 9 | Applied Materials | 324.38 Bn | 289.82 Bn | 4.59 Bn |
| 10 | Mks | 14.60 Bn | 12.05 Bn | 595.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.00 Mn |
| Mar 31, 2026 | 3.00 Mn |
| Dec 31, 2025 | 11.00 Mn |
| Sep 30, 2025 | 4.00 Mn |
| Jun 30, 2025 | 5.00 Mn |
| Mar 31, 2025 | 16.00 Mn |
| Dec 31, 2024 | 3.00 Mn |
| Sep 30, 2024 | 3.00 Mn |
| Jun 30, 2024 | 2.00 Mn |
| Mar 31, 2024 | 3.00 Mn |
| Dec 31, 2023 | 6.00 Mn |
| Sep 30, 2023 | 3.00 Mn |
| Jun 30, 2023 | 11.00 Mn |
| Mar 31, 2023 | 6.00 Mn |
| Dec 31, 2022 | 11.00 Mn |
| Sep 30, 2022 | 31.00 Mn |
| Jun 30, 2022 | 3.00 Mn |
| Mar 31, 2022 | 8.00 Mn |
| Dec 31, 2021 | 9.00 Mn |
| Sep 30, 2021 | 9.00 Mn |
API Access
Mks Restructuring Costs 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=restructuring-costs&ticker=MKSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=MKSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();