Mks (MKSI) Total Current Liabilities (2009 - 2026)
Mks (MKSI) posted Total Current Liabilities of $2.42 billion for Q2 2026, up 191.3% from $832 million a year earlier and up 5.8% from the prior quarter.
Mks (MKSI) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Mks' Total Current Liabilities came in at $927 million, up 19.6% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 19.9% (FY2020 to FY2025).
- In prior years, Mks' Total Current Liabilities was $775 million in FY2024 (-8.6%), $848 million in FY2023 (-10.9%), $952 million in FY2022 (+107.0%) and $460 million in FY2021 (+23.0%).
- The Q2 2026 figure stands as the highest quarterly Total Current Liabilities in data going back to Q4 2009.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last six quarters, with growth averaging 52.9% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q1 2026, with growth of 193.3%; the weakest was Q1 2024, with a decline of 17.7%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $2.29 billion (Q1 2026), $927 million (Q4 2025) and $886 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,278.39 Bn | 5,052.55 Bn | 72.14 Bn | 43.02 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,184.51 Bn | 1,809.37 Bn | 27.22 Bn | 58.30 Bn |
| 3 | Broadcom | 1,571.64 Bn | 1,497.68 Bn | 20.46 Bn | 20.84 Bn |
| 4 | Micron Technology | 1,007.58 Bn | 913.22 Bn | 47.05 Bn | 27.48 Bn |
| 5 | Advanced Micro Devices | 856.97 Bn | 813.72 Bn | 6.20 Bn | 12.08 Bn |
| 6 | Asml Holding | 628.52 Bn | 584.21 Bn | 5.90 Bn | 28.50 Bn |
| 7 | Intel | 451.60 Bn | 320.73 Bn | 6.51 Bn | 35.67 Bn |
| 8 | Applied Materials | 303.65 Bn | 269.10 Bn | 4.59 Bn | 10.36 Bn |
| 9 | Lam Research | 293.64 Bn | 270.43 Bn | 3.48 Bn | 5.94 Bn |
| 10 | Mks | 13.57 Bn | 11.02 Bn | 595.00 Mn | 2.42 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.42 Bn |
| Mar 31, 2026 | 2.29 Bn |
| Dec 31, 2025 | 927.00 Mn |
| Sep 30, 2025 | 886.00 Mn |
| Jun 30, 2025 | 832.00 Mn |
| Mar 31, 2025 | 781.00 Mn |
| Dec 31, 2024 | 775.00 Mn |
| Sep 30, 2024 | 781.00 Mn |
| Jun 30, 2024 | 740.00 Mn |
| Mar 31, 2024 | 721.00 Mn |
| Dec 31, 2023 | 848.00 Mn |
| Sep 30, 2023 | 838.00 Mn |
| Jun 30, 2023 | 835.00 Mn |
| Mar 31, 2023 | 876.00 Mn |
| Dec 31, 2022 | 952.00 Mn |
| Sep 30, 2022 | 1.01 Bn |
| Jun 30, 2022 | 457.00 Mn |
| Mar 31, 2022 | 436.00 Mn |
| Dec 31, 2021 | 460.00 Mn |
| Sep 30, 2021 | 437.10 Mn |
Mks Total 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-current-liabilities&ticker=MKSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=MKSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();