Mks (MKSI) Total Non-Current Liabilities (2009 - 2026)
Mks (MKSI) posted Total Non-Current Liabilities of $5.8 billion for Q2 2026, down 5.0% from $6.1 billion a year earlier but up 0.3% from the prior quarter.
Mks (MKSI) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Mks' Total Non-Current Liabilities came in at $5.95 billion, down 2.8% from FY2024.
- Annual Total Non-Current Liabilities has declined for three consecutive years, though with a five-year compound annual growth rate of 32.0% (FY2020 to FY2025).
- In prior years, Mks' Total Non-Current Liabilities was $6.12 billion in FY2024 (-6.4%), $6.54 billion in FY2023 (-5.5%), $6.92 billion in FY2022 (+330.2%) and $1.61 billion in FY2021 (+8.3%).
- Quarterly Total Non-Current Liabilities has run from a low of $1.58 billion in Q1 2022 to a high of $7.15 billion in Q3 2022 over five years.
- On a year-over-year basis, Total Non-Current Liabilities has declined in each of the last 12 quarters, with an average decline of 4.8% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q3 2022, with growth of 350.2%; the weakest was Q3 2023, with a decline of 8.1%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $5.78 billion (Q1 2026), $5.95 billion (Q4 2025) and $6.03 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,136.26 Bn | 4,910.42 Bn | 72.14 Bn | 80.37 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,136.54 Bn | 1,761.41 Bn | 27.22 Bn | 32.74 Bn |
| 3 | Broadcom | 1,540.90 Bn | 1,466.94 Bn | 20.46 Bn | 78.01 Bn |
| 4 | Micron Technology | 967.10 Bn | 872.74 Bn | 47.05 Bn | 45.85 Bn |
| 5 | Advanced Micro Devices | 829.08 Bn | 785.83 Bn | 6.20 Bn | 15.78 Bn |
| 6 | Asml Holding | 608.19 Bn | 563.87 Bn | 5.90 Bn | 7.86 Bn |
| 7 | Intel | 435.73 Bn | 304.86 Bn | 6.51 Bn | 84.22 Bn |
| 8 | Applied Materials | 298.50 Bn | 263.94 Bn | 4.59 Bn | 15.60 Bn |
| 9 | Lam Research | 288.46 Bn | 265.26 Bn | 3.48 Bn | 9.67 Bn |
| 10 | Mks | 13.26 Bn | 10.71 Bn | 595.00 Mn | 5.80 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.80 Bn |
| Mar 31, 2026 | 5.78 Bn |
| Dec 31, 2025 | 5.95 Bn |
| Sep 30, 2025 | 6.03 Bn |
| Jun 30, 2025 | 6.10 Bn |
| Mar 31, 2025 | 6.04 Bn |
| Dec 31, 2024 | 6.12 Bn |
| Sep 30, 2024 | 6.50 Bn |
| Jun 30, 2024 | 6.51 Bn |
| Mar 31, 2024 | 6.39 Bn |
| Dec 31, 2023 | 6.54 Bn |
| Sep 30, 2023 | 6.57 Bn |
| Jun 30, 2023 | 6.64 Bn |
| Mar 31, 2023 | 6.82 Bn |
| Dec 31, 2022 | 6.92 Bn |
| Sep 30, 2022 | 7.15 Bn |
| Jun 30, 2022 | 1.59 Bn |
| Mar 31, 2022 | 1.58 Bn |
| Dec 31, 2021 | 1.61 Bn |
| Sep 30, 2021 | 1.59 Bn |
Mks Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=MKSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=MKSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();