Mks (MKSI) Asset Writedowns and Impairment (2009 - 2026)
Mks (MKSI) reported Asset Writedowns and Impairment of $4 million for Q2 2026, down 60.0% from $10 million a year earlier and down 69.2% from the prior quarter.
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Analysis
Mks (MKSI) Asset Writedowns and Impairment (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Mks' Asset Writedowns and Impairment came in at $35 million, down 16.7% year-over-year; for FY2025, it came in at $45 million, down 19.6% from FY2024.
- Asset Writedowns and Impairment has a five-year compound annual growth rate of 12.5% (FY2020 to FY2025).
- By year, Asset Writedowns and Impairment came in at $56 million in FY2024 (-97.1%), $1.9 billion in FY2023, $21 million in FY2022 (+31.3%) and $16 million in FY2021 (-36.0%).
- Five-year quarterly Asset Writedowns and Impairment spans a low of $2 million in Q4 2021 and a high of $1.83 billion in Q2 2023.
- Year over year, Asset Writedowns and Impairment has now declined in each of the last three quarters, with an average decline of 31.1% over the last five quarters.
- The high point for year-over-year Asset Writedowns and Impairment in five years was Q4 2023 (growth of 581.8%); the low point was Q4 2024 (a decline of 80.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $13 million (Q1 2026), $8 million (Q4 2025) and $10 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 | 4.00 Mn |
| Mar 31, 2026 | 13.00 Mn |
| Dec 31, 2025 | 8.00 Mn |
| Sep 30, 2025 | 10.00 Mn |
| Jun 30, 2025 | 10.00 Mn |
| Mar 31, 2025 | 17.00 Mn |
| Dec 31, 2024 | 15.00 Mn |
| Mar 31, 2024 | 11.00 Mn |
| Dec 31, 2023 | 75.00 Mn |
| Jun 30, 2023 | 1.83 Bn |
| Mar 31, 2023 | 18.00 Mn |
| Dec 31, 2022 | 11.00 Mn |
| Mar 31, 2022 | 4.00 Mn |
| Dec 31, 2021 | 2.00 Mn |
| Sep 30, 2021 | 5.00 Mn |
| Jun 30, 2021 | 4.00 Mn |
| Mar 31, 2021 | 5.00 Mn |
| Dec 31, 2020 | 5.20 Mn |
| Sep 30, 2020 | 6.90 Mn |
| Jun 30, 2020 | 6.70 Mn |
API Access
Mks Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=MKSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=MKSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();