Axcelis Technologies (ACLS) Receivables (2010 - 2026)
Axcelis Technologies' Receivables came in at $154.15 million for Q2 2026, up 11.0% from $138.84 million a year earlier but down 4.7% from the prior quarter.
Powered by 
Analysis
Axcelis Technologies (ACLS) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Axcelis Technologies' Receivables was $168.48 million, down 17.1% from FY2024.
- Receivables carries a five-year compound annual growth rate of 14.2% (FY2020 to FY2025).
- Going back by year, Receivables was $203.15 million in FY2024 (-6.8%), $217.96 million in FY2023 (+28.4%), $169.77 million in FY2022 (+62.6%) and $104.41 million in FY2021 (+20.2%).
- The five-year range for quarterly Receivables is $78.26 million (Q3 2021) to $217.96 million (Q4 2023).
- Year-over-year, Receivables increased in 1 of the last eight quarters, with an average decline of 10.7%.
- The fastest year-over-year change in Receivables over five years came in Q3 2022 (growth of 122.2%), and the weakest in Q2 2025 (a decline of 26.2%).
- Business Quant data shows ACLS's Receivables at $161.81 million (Q1 2026), $168.48 million (Q4 2025) and $147.64 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,757.49 Bn | 5,531.65 Bn | 72.14 Bn | 63.30 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,520.17 Bn | 2,145.88 Bn | 27.22 Bn | 13.95 Bn |
| 3 | Broadcom | 1,730.62 Bn | 1,656.67 Bn | 20.46 Bn | 20.89 Bn |
| 4 | Micron Technology | 1,201.21 Bn | 1,139.97 Bn | 35.06 Bn | 31.23 Bn |
| 5 | Advanced Micro Devices | 1,031.02 Bn | 987.76 Bn | 6.20 Bn | 7.28 Bn |
| 6 | Asml Holding | 716.82 Bn | 672.66 Bn | 5.90 Bn | 4.03 Bn |
| 7 | Intel | 585.95 Bn | 470.68 Bn | 6.51 Bn | 4.03 Bn |
| 8 | Lam Research | 432.69 Bn | 409.49 Bn | 3.48 Bn | 5.34 Bn |
| 9 | Applied Materials | 430.35 Bn | 395.79 Bn | 4.59 Bn | 7.69 Bn |
| 10 | Axcelis Technologies | 4.39 Bn | 2.80 Bn | 91.19 Mn | 154.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 154.15 Mn |
| Mar 31, 2026 | 161.81 Mn |
| Dec 31, 2025 | 168.48 Mn |
| Sep 30, 2025 | 147.64 Mn |
| Jun 30, 2025 | 138.84 Mn |
| Mar 31, 2025 | 164.95 Mn |
| Dec 31, 2024 | 203.15 Mn |
| Sep 30, 2024 | 183.54 Mn |
| Jun 30, 2024 | 188.08 Mn |
| Mar 31, 2024 | 208.54 Mn |
| Dec 31, 2023 | 217.96 Mn |
| Sep 30, 2023 | 192.33 Mn |
| Jun 30, 2023 | 159.20 Mn |
| Mar 31, 2023 | 189.60 Mn |
| Dec 31, 2022 | 169.77 Mn |
| Sep 30, 2022 | 173.89 Mn |
| Jun 30, 2022 | 146.12 Mn |
| Mar 31, 2022 | 118.99 Mn |
| Dec 31, 2021 | 104.41 Mn |
| Sep 30, 2021 | 78.26 Mn |
API Access
Axcelis Technologies Receivables 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=receivables&ticker=ACLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=ACLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();