Axcelis Technologies (ACLS) Cash & Equivalents (2010 - 2026)
Axcelis Technologies' Cash & Equivalents came in at $155 million for Q2 2026, down 10.7% from $173.65 million a year earlier but up 2.8% from the prior quarter.
Axcelis Technologies (ACLS) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Axcelis Technologies' Cash & Equivalents was $145.45 million, up 17.8% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -6.5% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $123.51 million in FY2024 (-26.2%), $167.3 million in FY2023 (-9.9%), $185.6 million in FY2022 (-37.1%) and $294.92 million in FY2021 (+44.9%).
- The five-year range for quarterly Cash & Equivalents is $120.07 million (Q3 2024) to $308.55 million (Q3 2022).
- Year-over-year, Cash & Equivalents increased in four of the last eight quarters, with growth averaging 7.5%.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q3 2025 (growth of 56.2%), and the weakest in Q3 2023 (a decline of 53.9%).
- Business Quant data shows ACLS's Cash & Equivalents at $150.83 million (Q1 2026), $145.45 million (Q4 2025) and $187.5 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,757.49 Bn | 5,531.65 Bn | 72.14 Bn | 22.44 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,520.17 Bn | 2,145.88 Bn | 27.22 Bn | 99.16 Bn |
| 3 | Broadcom | 1,730.62 Bn | 1,656.67 Bn | 20.46 Bn | 23.98 Bn |
| 4 | Micron Technology | 1,201.21 Bn | 1,139.97 Bn | 35.06 Bn | 25.00 Bn |
| 5 | Advanced Micro Devices | 1,031.02 Bn | 987.76 Bn | 6.20 Bn | 5.09 Bn |
| 6 | Asml Holding | 716.82 Bn | 672.66 Bn | 5.90 Bn | 15.03 Bn |
| 7 | Intel | 585.95 Bn | 470.68 Bn | 6.51 Bn | 12.87 Bn |
| 8 | Lam Research | 432.69 Bn | 409.49 Bn | 3.48 Bn | 5.58 Bn |
| 9 | Applied Materials | 430.35 Bn | 395.79 Bn | 4.59 Bn | 7.04 Bn |
| 10 | Axcelis Technologies | 4.39 Bn | 2.80 Bn | 91.19 Mn | 155.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 155.00 Mn |
| Mar 31, 2026 | 150.83 Mn |
| Dec 31, 2025 | 145.45 Mn |
| Sep 30, 2025 | 187.50 Mn |
| Jun 30, 2025 | 173.65 Mn |
| Mar 31, 2025 | 183.96 Mn |
| Dec 31, 2024 | 123.51 Mn |
| Sep 30, 2024 | 120.07 Mn |
| Jun 30, 2024 | 145.17 Mn |
| Mar 31, 2024 | 133.96 Mn |
| Dec 31, 2023 | 167.30 Mn |
| Sep 30, 2023 | 142.30 Mn |
| Jun 30, 2023 | 132.50 Mn |
| Mar 31, 2023 | 164.48 Mn |
| Dec 31, 2022 | 185.60 Mn |
| Sep 30, 2022 | 308.55 Mn |
| Jun 30, 2022 | 287.17 Mn |
| Mar 31, 2022 | 297.14 Mn |
| Dec 31, 2021 | 294.92 Mn |
| Sep 30, 2021 | 271.09 Mn |
Axcelis Technologies Cash & Equivalents 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=cash-and-equivalents&ticker=ACLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ACLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();