Skip to content

AXCELIS TECHNOLOGIES INC: research and development expense

Research and development expense for AXCELIS TECHNOLOGIES INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All AXCELIS TECHNOLOGIES INC financial histories

What this measure means

Research and development costs recognized as expense. Capitalization policies and acquired projects can make this differ from total cash invested in development.

Exact concept: us-gaap:ResearchAndDevelopmentExpense. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2009-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Research and development expense in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-31108,958,000USD2026-02-2610-K · 0001104659-26-020461
2024-01-012024-12-31105,497,000USD2026-02-2610-K · 0001104659-26-020461
2023-01-012023-12-3196,907,000USD2026-02-2610-K · 0001104659-26-020461
2022-01-012022-12-3178,356,000USD2025-02-2810-K · 0001558370-25-001855
2021-01-012021-12-3165,431,000USD2024-02-2810-K/A · 0001558370-24-001969
2020-01-012020-12-3161,833,000USD2023-02-2410-K · 0001558370-23-002006
2019-01-012019-12-3153,931,000USD2022-02-2510-K · 0001558370-22-002096
2018-01-012018-12-3151,876,000USD2021-02-2610-K · 0001558370-21-001972
2017-01-012017-12-3143,071,000USD2020-03-0210-K · 0001558370-20-001858
2016-01-012016-12-3134,402,000USD2019-03-1110-K · 0001558370-19-001791
2015-01-012015-12-3132,586,000USD2018-03-1410-K · 0001558370-18-002060
2014-01-012014-12-3133,533,000USD2017-03-1410-K · 0001558370-17-001778
2013-01-012013-12-3134,756,000USD2016-03-0410-K · 0001047469-16-010788
2012-01-012012-12-3140,401,000USD2015-03-1210-K/A · 0001047469-15-002063
2011-01-012011-12-3147,176,000USD2014-03-0310-K · 0001047469-14-001681
2010-01-012010-12-3139,524,000USD2013-03-0110-K · 0001047469-13-002045
2009-01-012009-12-3132,661,000USD2012-02-2910-K · 0001047469-12-001874

Related financial histories

Inspect the source

Entity
AXCELIS TECHNOLOGIES INC / CIK 0001113232
Captured
2026-09-20T05:24:08.593Z
SEC response SHA-256
364bb66e801656832d75c516131b1da07a841f4a884d783a699a39717a0c8ae9

Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON

Latest-filed annual-report facts per unit and reporting period at capture time. Duration facts cover 300 to 400 days. This selection can include restatements and is not a point-in-time backtest dataset. Missing concepts are omitted, never zero-filled. Values retain original units and are not currency converted. Extended concepts require compatible unit shapes and at least three reporting ends with changing values within one unit. Constant or incompatible added histories are omitted.

Public company accounting reference, not market prices, returns, an investment recommendation, or ALPHAC performance. Validate a separately constructed return series with the validation API; accounting values are not returns.

Use this in research

A financial period ends before its results become public. Use the filing date as a minimum availability boundary, inspect amendments, and retain the original filing vintage when testing historical signals. This latest-filed selection can contain information unavailable at the time.

These pages do not supply prices, total-return histories, corporate-action adjustments or a tradable universe. Build those inputs separately before evaluating a strategy. A profitable backtest can still reflect selection bias or costs that were left out.

Research methodology · Execution and cost assumptions · Check backtest overfitting

Build with the open-source tools

Use these accounting records as inspectable inputs. When you have constructed a return series, the validation tools can help test its statistical evidence and preserve the result with its limitations.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001113232.json") as response:
    record = json.load(response)
print(record["fetched_at"])
print(record["policy"])
for concept in record["concepts"]:
    print(concept["tag"], next(iter(concept["observations"])))