Axcelis Technologies (ACLS) Asset Writedowns and Impairment (2010 - 2022)
Axcelis Technologies' Asset Writedowns and Impairment came in at $1.23 million for Q3 2022, up 39.1% from $885,000 a year earlier and up 19.1% from the prior quarter.
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Analysis
Axcelis Technologies (ACLS) Asset Writedowns and Impairment (2010 - 2022) Analysis & Trends
Over the trailing twelve months to Sep 30, 2022, Axcelis Technologies reported Asset Writedowns and Impairment of $4.18 million, up 9.9% year-over-year; for FY2016, it came in at $1.05 million, down 38.9% from FY2015.
- Asset Writedowns and Impairment has declined in each of the last four years, though with a five-year compound annual growth rate of 0.7% (FY2011 to FY2016).
- Going back by year, Asset Writedowns and Impairment was $1.72 million in FY2015 (-5.3%), $1.82 million in FY2014 (-29.1%), $2.56 million in FY2013 (-82.3%) and $14.49 million in FY2012.
- The Q3 2022 figure represents the highest quarterly Asset Writedowns and Impairment since Q1 2013.
- Year-over-year, Asset Writedowns and Impairment has increased for three consecutive quarters, with growth averaging 11.1% over the last six quarters.
- The fastest year-over-year change in Asset Writedowns and Impairment over five years came in Q3 2020 (growth of 62.7%), and the weakest in Q1 2018 (a decline of 16.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,757.49 Bn | 5,531.65 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,520.17 Bn | 2,145.88 Bn | 27.22 Bn |
| 3 | Broadcom | 1,730.62 Bn | 1,656.67 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,201.21 Bn | 1,139.97 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,031.02 Bn | 987.76 Bn | 6.20 Bn |
| 6 | Asml Holding | 716.82 Bn | 672.66 Bn | 5.90 Bn |
| 7 | Intel | 585.95 Bn | 470.68 Bn | 6.51 Bn |
| 8 | Lam Research | 432.69 Bn | 409.49 Bn | 3.48 Bn |
| 9 | Applied Materials | 430.35 Bn | 395.79 Bn | 4.59 Bn |
| 10 | Axcelis Technologies | 4.39 Bn | 2.80 Bn | 91.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 1.23 Mn |
| Jun 30, 2022 | 1.03 Mn |
| Mar 31, 2022 | 1.03 Mn |
| Sep 30, 2021 | 885,000.00 |
| Jun 30, 2021 | 904,000.00 |
| Mar 31, 2021 | 984,000.00 |
| Sep 30, 2020 | 1.03 Mn |
| Jun 30, 2020 | 906,000.00 |
| Mar 31, 2020 | 802,000.00 |
| Sep 30, 2019 | 632,000.00 |
| Jun 30, 2019 | 722,000.00 |
| Mar 31, 2019 | 607,000.00 |
| Sep 30, 2018 | 487,000.00 |
| Jun 30, 2018 | 685,000.00 |
| Mar 31, 2018 | 485,000.00 |
| Sep 30, 2017 | 533,000.00 |
| Jun 30, 2017 | 436,000.00 |
| Mar 31, 2017 | 578,000.00 |
| Dec 31, 2016 | -91,000.00 |
| Sep 30, 2016 | 327,000.00 |
API Access
Axcelis Technologies 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=ACLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "ACLS", "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=ACLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();