Mks (MKSI) Total Liabilities (2009 - 2026)
Mks (MKSI) recorded Total Liabilities of $5.95 billion in Q2 2026, down 5.1% from $6.27 billion a year earlier but up 0.6% from the prior quarter.
Analysis
Mks (MKSI) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Mks reported Total Liabilities of $6.08 billion, down 3.0% from FY2024.
- Annual Total Liabilities has declined for three straight years, though with a five-year compound annual growth rate of 31.5% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $6.27 billion in FY2024 (-5.7%), $6.65 billion in FY2023 (-5.2%), $7.01 billion in FY2022 (+324.2%) and $1.65 billion in FY2021 (+7.1%).
- Quarterly Total Liabilities has ranged from $1.62 billion in Q2 2022 to $7.22 billion in Q3 2022 over the past five years.
- On a year-over-year basis, Total Liabilities has declined for 12 consecutive quarters, with an average decline of 4.5% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 341.0% in Q3 2022, against a decline of 7.7% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.92 billion (Q1 2026), $6.08 billion (Q4 2025) and $6.18 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,278.39 Bn | 5,052.55 Bn | 72.14 Bn | 91.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,184.51 Bn | 1,809.37 Bn | 27.22 Bn | 92.36 Bn |
| 3 | Broadcom | 1,571.64 Bn | 1,497.68 Bn | 20.46 Bn | 88.46 Bn |
| 4 | Micron Technology | 1,007.58 Bn | 913.22 Bn | 47.05 Bn | 57.51 Bn |
| 5 | Advanced Micro Devices | 856.97 Bn | 813.72 Bn | 6.20 Bn | 17.24 Bn |
| 6 | Asml Holding | 628.52 Bn | 584.21 Bn | 5.90 Bn | 36.36 Bn |
| 7 | Intel | 451.60 Bn | 320.73 Bn | 6.51 Bn | 99.30 Bn |
| 8 | Applied Materials | 303.65 Bn | 269.10 Bn | 4.59 Bn | 17.90 Bn |
| 9 | Lam Research | 293.64 Bn | 270.43 Bn | 3.48 Bn | 11.06 Bn |
| 10 | Mks | 13.57 Bn | 11.02 Bn | 595.00 Mn | 5.95 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.95 Bn |
| Mar 31, 2026 | 5.92 Bn |
| Dec 31, 2025 | 6.08 Bn |
| Sep 30, 2025 | 6.18 Bn |
| Jun 30, 2025 | 6.27 Bn |
| Mar 31, 2025 | 6.20 Bn |
| Dec 31, 2024 | 6.27 Bn |
| Sep 30, 2024 | 6.63 Bn |
| Jun 30, 2024 | 6.63 Bn |
| Mar 31, 2024 | 6.51 Bn |
| Dec 31, 2023 | 6.65 Bn |
| Sep 30, 2023 | 6.66 Bn |
| Jun 30, 2023 | 6.74 Bn |
| Mar 31, 2023 | 6.92 Bn |
| Dec 31, 2022 | 7.01 Bn |
| Sep 30, 2022 | 7.22 Bn |
| Jun 30, 2022 | 1.62 Bn |
| Mar 31, 2022 | 1.62 Bn |
| Dec 31, 2021 | 1.65 Bn |
| Sep 30, 2021 | 1.64 Bn |
API Access
Mks Total 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-liabilities&ticker=MKSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=MKSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();