Axcelis Technologies (ACLS) Tax Provisions (2010 - 2026)
Axcelis Technologies' Tax Provisions was $2.1 million in Q2 2026, down 42.0% from $3.62 million a year earlier but up 48.8% from the prior quarter.
Axcelis Technologies (ACLS) Tax Provisions (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Axcelis Technologies' Tax Provisions was $13.43 million through Jun 30, 2026, down 43.1% year-over-year; for FY2025, it came in at $18.01 million, down 38.5% from FY2024.
- Tax Provisions shows a five-year compound annual growth rate of 25.0% (FY2020 to FY2025).
- In earlier years, Tax Provisions was $29.28 million in FY2024 (-9.4%), $32.34 million in FY2023 (+48.3%), $21.81 million in FY2022 (+0.1%) and $21.78 million in FY2021 (+268.9%).
- Quarterly Tax Provisions has moved between $1.41 million (Q1 2026) and $16.34 million (Q4 2023) over five years.
- Compared with a year earlier, Tax Provisions has declined for eight straight quarters, with an average decline of 40.6% over the last eight quarters.
- The best year-over-year quarter for Tax Provisions over five years was Q1 2022 (growth of 149.9%); the worst was Q1 2026 (a decline of 68.7%).
- Per Business Quant data, ACLS's Tax Provisions in the three quarters before Q2 2026 was $1.41 million (Q1 2026), $5.72 million (Q4 2025) and $4.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,757.49 Bn | 5,531.65 Bn | 72.14 Bn | 11.82 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,520.17 Bn | 2,145.88 Bn | 27.22 Bn | 4.92 Bn |
| 3 | Broadcom | 1,730.62 Bn | 1,656.67 Bn | 20.46 Bn | 2.19 Bn |
| 4 | Micron Technology | 1,201.21 Bn | 1,139.97 Bn | 35.06 Bn | 4.98 Bn |
| 5 | Advanced Micro Devices | 1,031.02 Bn | 987.76 Bn | 6.20 Bn | 252.00 Mn |
| 6 | Asml Holding | 716.82 Bn | 672.66 Bn | 5.90 Bn | - |
| 7 | Intel | 585.95 Bn | 470.68 Bn | 6.51 Bn | 29.00 Mn |
| 8 | Lam Research | 432.69 Bn | 409.49 Bn | 3.48 Bn | 277.86 Mn |
| 9 | Applied Materials | 430.35 Bn | 395.79 Bn | 4.59 Bn | 369.00 Mn |
| 10 | Axcelis Technologies | 4.39 Bn | 2.80 Bn | 91.19 Mn | 2.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.10 Mn |
| Mar 31, 2026 | 1.41 Mn |
| Dec 31, 2025 | 5.72 Mn |
| Sep 30, 2025 | 4.20 Mn |
| Jun 30, 2025 | 3.62 Mn |
| Mar 31, 2025 | 4.51 Mn |
| Dec 31, 2024 | 8.69 Mn |
| Sep 30, 2024 | 6.80 Mn |
| Jun 30, 2024 | 6.40 Mn |
| Mar 31, 2024 | 7.40 Mn |
| Dec 31, 2023 | 16.34 Mn |
| Sep 30, 2023 | 7.74 Mn |
| Jun 30, 2023 | 3.04 Mn |
| Mar 31, 2023 | 5.21 Mn |
| Dec 31, 2022 | 8.80 Mn |
| Sep 30, 2022 | 4.73 Mn |
| Jun 30, 2022 | 4.01 Mn |
| Mar 31, 2022 | 4.30 Mn |
| Dec 31, 2021 | 9.48 Mn |
| Sep 30, 2021 | 6.70 Mn |
Axcelis Technologies Tax Provisions 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=tax-provisions&ticker=ACLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=ACLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();