Mks (MKSI) Other Accumulated Expenses (2009 - 2026)
Mks (MKSI) posted Other Accumulated Expenses of $491 million for Q2 2026, up 15.3% from $426 million a year earlier and up 10.3% from the prior quarter.
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Analysis
Mks (MKSI) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Mks' Other Accumulated Expenses came in at $469 million, up 22.1% from FY2024.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of 48.2% (FY2020 to FY2025).
- In prior years, Mks' Other Accumulated Expenses was $384 million in FY2024 (-10.3%), $428 million in FY2023 (-1.2%), $433 million in FY2022 (+509.9%) and $71 million in FY2021 (+8.2%).
- The Q2 2026 figure stands as the highest quarterly Other Accumulated Expenses in data going back to Q4 2009.
- On a year-over-year basis, Other Accumulated Expenses has increased in each of the last six quarters, with growth averaging 6.6% over the last eight quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q4 2022, with growth of 509.9%; the weakest was Q2 2022, with a decline of 12.5%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $445 million (Q1 2026), $469 million (Q4 2025) and $453 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | Mks | 18.87 Bn | 16.32 Bn | 595.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 491.00 Mn |
| Mar 31, 2026 | 445.00 Mn |
| Dec 31, 2025 | 469.00 Mn |
| Sep 30, 2025 | 453.00 Mn |
| Jun 30, 2025 | 426.00 Mn |
| Mar 31, 2025 | 408.00 Mn |
| Dec 31, 2024 | 384.00 Mn |
| Sep 30, 2024 | 425.00 Mn |
| Jun 30, 2024 | 399.00 Mn |
| Mar 31, 2024 | 381.00 Mn |
| Dec 31, 2023 | 428.00 Mn |
| Sep 30, 2023 | 442.00 Mn |
| Jun 30, 2023 | 433.00 Mn |
| Mar 31, 2023 | 416.00 Mn |
| Dec 31, 2022 | 433.00 Mn |
| Sep 30, 2022 | 192.00 Mn |
| Jun 30, 2022 | 81.00 Mn |
| Mar 31, 2022 | 82.00 Mn |
| Dec 31, 2021 | 71.00 Mn |
| Sep 30, 2021 | 87.00 Mn |
API Access
Mks Other Accumulated Expenses 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=other-accumulated-expenses&ticker=MKSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=MKSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();