Axcelis Technologies (ACLS) Change in Inventory (2010 - 2026)
Axcelis Technologies (ACLS) reported Change in Inventory of $13.56 million for Q2 2026, up 210.0% from $4.37 million a year earlier and up 333.0% from the prior quarter.
Axcelis Technologies (ACLS) Change in Inventory (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Axcelis Technologies' Change in Inventory came in at $42.15 million, up 77.1% year-over-year; for FY2025, it was $42.22 million.
- Change in Inventory has a five-year compound annual growth rate of 19.1% (FY2020 to FY2025).
- By year, Change in Inventory came in at -$5.92 million in FY2024, $69.96 million in FY2023 (+19.7%), $58.43 million in FY2022 (+49.7%) and $39.02 million in FY2021 (+121.1%).
- Five-year quarterly Change in Inventory spans a low of -$24.38 million in Q2 2024 and a high of $42.19 million in Q2 2023.
- Year over year, Change in Inventory gained in four of the last six quarters, with growth averaging 176.8%.
- The high point for year-over-year Change in Inventory in five years was Q3 2025 (growth of 958.6%); the low point was Q3 2024 (a decline of 89.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $3.13 million (Q1 2026), $7.97 million (Q4 2025) and $17.49 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,757.49 Bn | 5,531.65 Bn | 72.14 Bn | 5.78 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 | 195.00 Mn |
| 4 | Micron Technology | 1,201.21 Bn | 1,139.97 Bn | 35.06 Bn | 300.00 Mn |
| 5 | Advanced Micro Devices | 1,031.02 Bn | 987.76 Bn | 6.20 Bn | 423.00 Mn |
| 6 | Asml Holding | 716.82 Bn | 672.66 Bn | 5.90 Bn | - |
| 7 | Intel | 585.95 Bn | 470.68 Bn | 6.51 Bn | 66.00 Mn |
| 8 | Lam Research | 432.69 Bn | 409.49 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 430.35 Bn | 395.79 Bn | 4.59 Bn | 208.00 Mn |
| 10 | Axcelis Technologies | 4.39 Bn | 2.80 Bn | 91.19 Mn | 13.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.56 Mn |
| Mar 31, 2026 | 3.13 Mn |
| Dec 31, 2025 | 7.97 Mn |
| Sep 30, 2025 | 17.49 Mn |
| Jun 30, 2025 | 4.37 Mn |
| Mar 31, 2025 | 12.39 Mn |
| Dec 31, 2024 | 5.38 Mn |
| Sep 30, 2024 | 1.65 Mn |
| Jun 30, 2024 | -24.38 Mn |
| Mar 31, 2024 | 11.43 Mn |
| Dec 31, 2023 | -9.54 Mn |
| Sep 30, 2023 | 16.20 Mn |
| Jun 30, 2023 | 42.19 Mn |
| Mar 31, 2023 | 21.11 Mn |
| Dec 31, 2022 | 8.73 Mn |
| Sep 30, 2022 | 22.19 Mn |
| Jun 30, 2022 | 16.02 Mn |
| Mar 31, 2022 | 11.49 Mn |
| Dec 31, 2021 | -572,000.00 |
| Sep 30, 2021 | 7.18 Mn |
Axcelis Technologies Change in Inventory 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=change-in-inventory&ticker=ACLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=ACLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();