Mks (MKSI) Long-Term Debt Repayments (2016 - 2026)
Mks' Long-Term Debt Repayments was $104 million in Q2 2026, down 7.1% from $112 million a year earlier and down 91.8% from the prior quarter.
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Analysis
Mks (MKSI) Long-Term Debt Repayments (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Mks' Long-Term Debt Repayments was $1.6 billion through Jun 30, 2026, up 178.0% year-over-year; for FY2025, it was $451 million, down 81.4% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of 40.0% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $2.43 billion in FY2024 (+502.2%), $403 million in FY2023 (-58.1%), $962 million in FY2022 and $15 million in FY2021 (-82.1%).
- The Q2 2026 figure marks the lowest quarterly Long-Term Debt Repayments since Q3 2023.
- Compared with a year earlier, Long-Term Debt Repayments was higher in 1 of the last seven quarters, with growth averaging 26.3%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q3 2024 (growth of 459.1%); the worst was Q3 2023 (a decline of 97.3%).
- Per Business Quant data, MKSI's Long-Term Debt Repayments in the three quarters before Q2 2026 was $1.27 billion (Q1 2026), $113 million (Q4 2025) and $113 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,137.71 Bn | 4,911.88 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 2,134.54 Bn | 1,759.40 Bn | 27.22 Bn | -8.28 Mn |
| 3 | Broadcom | 1,545.45 Bn | 1,471.49 Bn | 20.46 Bn | 5.63 Bn |
| 4 | Micron Technology | 970.17 Bn | 875.80 Bn | 47.05 Bn | 663.00 Mn |
| 5 | Advanced Micro Devices | 830.98 Bn | 787.73 Bn | 6.20 Bn | - |
| 6 | Asml Holding | 610.71 Bn | 566.40 Bn | 5.90 Bn | - |
| 7 | Intel | 438.79 Bn | 307.92 Bn | 6.51 Bn | 8.33 Bn |
| 8 | Applied Materials | 301.66 Bn | 267.10 Bn | 4.59 Bn | - |
| 9 | Lam Research | 289.99 Bn | 266.79 Bn | 3.48 Bn | 1.36 Mn |
| 10 | Mks | 13.17 Bn | 10.62 Bn | 595.00 Mn | 104.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 104.00 Mn |
| Mar 31, 2026 | 1.27 Bn |
| Dec 31, 2025 | 113.00 Mn |
| Sep 30, 2025 | 113.00 Mn |
| Jun 30, 2025 | 112.00 Mn |
| Mar 31, 2025 | 113.00 Mn |
| Dec 31, 2024 | 229.00 Mn |
| Sep 30, 2024 | 123.00 Mn |
| Jun 30, 2024 | 1.44 Bn |
| Mar 31, 2024 | 806.00 Mn |
| Dec 31, 2023 | 336.00 Mn |
| Sep 30, 2023 | 22.00 Mn |
| Jun 30, 2023 | 22.00 Mn |
| Mar 31, 2023 | 23.00 Mn |
| Dec 31, 2022 | 127.00 Mn |
| Sep 30, 2022 | 827.00 Mn |
| Jun 30, 2022 | 6.00 Mn |
| Mar 31, 2022 | 2.00 Mn |
| Dec 31, 2021 | 2.00 Mn |
| Sep 30, 2021 | 2.00 Mn |
API Access
Mks Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=MKSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=MKSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();