Mks (MKSI) Amortization - Intangibles (2009 - 2026)
Mks (MKSI) posted Amortization - Intangibles of $62 million for Q2 2026, unchanged from $62 million a year earlier and down 1.6% from the prior quarter.
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Analysis
Mks (MKSI) Amortization - Intangibles (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Amortization - Intangibles at Mks was $251 million, up 2.9% year-over-year; for FY2025, it came in at $247 million, up 0.8% from FY2024.
- Annual Amortization - Intangibles shows a five-year compound annual growth rate of 35.0% (FY2020 to FY2025).
- In prior years, Mks' Amortization - Intangibles was $245 million in FY2024 (-16.9%), $295 million in FY2023 (+102.1%), $146 million in FY2022 (+165.5%) and $55 million in FY2021 (unchanged).
- Quarterly Amortization - Intangibles has run from a low of $15 million in Q3 2021 to a high of $81 million in Q1 2023 over five years.
- On a year-over-year basis, Amortization - Intangibles increased in four of the last eight quarters, with an average decline of 1.6%.
- The strongest year-over-year quarter for Amortization - Intangibles in the past five years was Q1 2023, with growth of 440.0%; the weakest was Q1 2024, with a decline of 23.5%.
- According to Business Quant data, Amortization - Intangibles for the three prior quarters was $63 million (Q1 2026), $63 million (Q4 2025) and $63 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,114.26 Bn | 4,888.42 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,138.81 Bn | 1,764.99 Bn | 27.22 Bn |
| 3 | Broadcom | 1,543.15 Bn | 1,469.19 Bn | 20.46 Bn |
| 4 | Micron Technology | 968.69 Bn | 874.33 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 828.94 Bn | 785.69 Bn | 6.20 Bn |
| 6 | Asml Holding | 601.46 Bn | 557.15 Bn | 5.90 Bn |
| 7 | Intel | 431.13 Bn | 315.86 Bn | 6.51 Bn |
| 8 | Applied Materials | 298.06 Bn | 263.50 Bn | 4.59 Bn |
| 9 | Lam Research | 287.49 Bn | 263.54 Bn | 4.30 Bn |
| 10 | Mks | 13.26 Bn | 10.71 Bn | 595.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 62.00 Mn |
| Mar 31, 2026 | 63.00 Mn |
| Dec 31, 2025 | 63.00 Mn |
| Sep 30, 2025 | 63.00 Mn |
| Jun 30, 2025 | 62.00 Mn |
| Mar 31, 2025 | 60.00 Mn |
| Dec 31, 2024 | 61.00 Mn |
| Sep 30, 2024 | 61.00 Mn |
| Jun 30, 2024 | 61.00 Mn |
| Mar 31, 2024 | 62.00 Mn |
| Dec 31, 2023 | 70.00 Mn |
| Sep 30, 2023 | 68.00 Mn |
| Jun 30, 2023 | 76.00 Mn |
| Mar 31, 2023 | 81.00 Mn |
| Dec 31, 2022 | 69.00 Mn |
| Sep 30, 2022 | 47.00 Mn |
| Jun 30, 2022 | 15.00 Mn |
| Mar 31, 2022 | 15.00 Mn |
| Dec 31, 2021 | 15.00 Mn |
| Sep 30, 2021 | 15.00 Mn |
API Access
Mks Amortization - Intangibles 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=amortization-intangibles&ticker=MKSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=MKSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();