Mks (MKSI) Cash & Equivalents (2009 - 2026)
Mks (MKSI) recorded Cash & Equivalents of $611 million in Q2 2026, down 9.3% from $674 million a year earlier but up 7.4% from the prior quarter.
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Analysis
Mks (MKSI) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Mks reported Cash & Equivalents of $675 million, down 5.5% from FY2024.
- Annual Cash & Equivalents has declined for four straight years, though with a five-year compound annual growth rate of 2.1% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $714 million in FY2024 (-18.4%), $875 million in FY2023 (-3.7%), $909 million in FY2022 (-5.9%) and $966 million in FY2021 (+58.9%).
- Quarterly Cash & Equivalents has ranged from $569 million in Q1 2026 to $1.07 billion in Q2 2022 over the past five years.
- On a year-over-year basis, Cash & Equivalents has declined for seven consecutive quarters, with an average decline of 13.5% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 58.9% in Q4 2021, against a decline of 28.9% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $569 million (Q1 2026), $675 million (Q4 2025) and $697 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 22.44 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 99.16 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 23.98 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 25.00 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 5.09 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 15.03 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 12.87 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 5.58 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 7.04 Bn |
| 10 | Mks | 18.87 Bn | 16.32 Bn | 595.00 Mn | 611.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 611.00 Mn |
| Mar 31, 2026 | 569.00 Mn |
| Dec 31, 2025 | 675.00 Mn |
| Sep 30, 2025 | 697.00 Mn |
| Jun 30, 2025 | 674.00 Mn |
| Mar 31, 2025 | 655.00 Mn |
| Dec 31, 2024 | 714.00 Mn |
| Sep 30, 2024 | 861.00 Mn |
| Jun 30, 2024 | 850.00 Mn |
| Mar 31, 2024 | 845.00 Mn |
| Dec 31, 2023 | 875.00 Mn |
| Sep 30, 2023 | 859.00 Mn |
| Jun 30, 2023 | 757.00 Mn |
| Mar 31, 2023 | 880.00 Mn |
| Dec 31, 2022 | 909.00 Mn |
| Sep 30, 2022 | 884.00 Mn |
| Jun 30, 2022 | 1.07 Bn |
| Mar 31, 2022 | 1.01 Bn |
| Dec 31, 2021 | 966.00 Mn |
| Sep 30, 2021 | 633.00 Mn |
API Access
Mks Cash & Equivalents 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=cash-and-equivalents&ticker=MKSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MKSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();