BRUKER CORPORATION: selling, general and administrative expense
Selling, general and administrative expense for BRUKER CORPORATION. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All BRUKER CORPORATION financial histories
What this measure means
Selling and general administrative costs reported under this concept. It is an expense category, not a substitute for total operating expenses.
Exact concept: us-gaap:SellingGeneralAndAdministrativeExpense. 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
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2025-01-01 | 2025-12-31 | 946,500,000 | USD | 2026-02-27 | 10-K · 0001193125-26-082523 |
| 2024-01-01 | 2024-12-31 | 893,800,000 | USD | 2026-02-27 | 10-K · 0001193125-26-082523 |
| 2023-01-01 | 2023-12-31 | 729,400,000 | USD | 2026-02-27 | 10-K · 0001193125-26-082523 |
| 2022-01-01 | 2022-12-31 | 607,400,000 | USD | 2025-03-03 | 10-K · 0000950170-25-030897 |
| 2021-01-01 | 2021-12-31 | 561,200,000 | USD | 2024-02-29 | 10-K · 0000950170-24-023038 |
| 2020-01-01 | 2020-12-31 | 468,600,000 | USD | 2023-03-01 | 10-K · 0000950170-23-005251 |
| 2019-01-01 | 2019-12-31 | 500,200,000 | USD | 2022-02-28 | 10-K · 0001193125-22-056531 |
| 2018-01-01 | 2018-12-31 | 444,700,000 | USD | 2021-03-01 | 10-K · 0001104659-21-029938 |
| 2017-01-01 | 2017-12-31 | 415,200,000 | USD | 2020-03-27 | 10-K · 0001104659-20-039645 |
| 2016-01-01 | 2016-12-31 | 389,800,000 | USD | 2019-03-01 | 10-K · 0001047469-19-000839 |
| 2015-01-01 | 2015-12-31 | 392,200,000 | USD | 2018-03-16 | 10-K · 0001047469-18-001779 |
| 2014-01-01 | 2014-12-31 | 451,000,000 | USD | 2017-03-01 | 10-K · 0001047469-17-001114 |
| 2013-01-01 | 2013-12-31 | 437,900,000 | USD | 2016-02-29 | 10-K · 0001047469-16-010532 |
| 2012-01-01 | 2012-12-31 | 440,400,000 | USD | 2015-02-27 | 10-K · 0001047469-15-001394 |
| 2011-01-01 | 2011-12-31 | 406,600,000 | USD | 2014-02-27 | 10-K · 0001047469-14-001489 |
| 2010-01-01 | 2010-12-31 | 301,100,000 | USD | 2013-02-28 | 10-K · 0001047469-13-001958 |
| 2009-01-01 | 2009-12-31 | 254,000,000 | USD | 2012-02-29 | 10-K · 0001047469-12-001890 |
Related financial histories
- BRUKER CORPORATION: total assets
- BRUKER CORPORATION: total liabilities
- BRUKER CORPORATION: stockholders equity
- BRUKER CORPORATION: cash and cash equivalents
- BRUKER CORPORATION: net income or loss
- BRUKER CORPORATION: operating cash flow
- BRUKER CORPORATION: capital expenditure payments
- BRUKER CORPORATION: revenue
- BRUKER CORPORATION: contract revenue excluding tax
- BRUKER CORPORATION: financing cash flow
- BRUKER CORPORATION: investing cash flow
- BRUKER CORPORATION: retained earnings or deficit
- BRUKER CORPORATION: basic weighted-average shares
- BRUKER CORPORATION: diluted weighted-average shares
- BRUKER CORPORATION: basic earnings per share
- BRUKER CORPORATION: diluted earnings per share
- BRUKER CORPORATION: income tax expense or benefit
- BRUKER CORPORATION: net property, plant and equipment
- BRUKER CORPORATION: share-based compensation expense
- BRUKER CORPORATION: operating income or loss
- BRUKER CORPORATION: current assets
- BRUKER CORPORATION: interest expense
- BRUKER CORPORATION: current liabilities
- BRUKER CORPORATION: current accounts payable
- BRUKER CORPORATION: goodwill carrying amount
- BRUKER CORPORATION: net finite-lived intangible assets
- BRUKER CORPORATION: net current accounts receivable
- BRUKER CORPORATION: common-stock repurchase payments
- BRUKER CORPORATION: operating expenses
- BRUKER CORPORATION: net inventory
- BRUKER CORPORATION: gross profit
- BRUKER CORPORATION: cost of revenue
- BRUKER CORPORATION: research and development expense
Inspect the source
- Entity
- BRUKER CORPORATION / CIK 0001109354
- Captured
- 2026-09-20T05:23:53.766Z
- SEC response SHA-256
da36339027c4e3b2f651e903b7a3f4c71b6014d8c8cd7fe3c5e645267bca368c
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.
- Get an API key and run your first validation
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- Read the MCP server source and integration examples
Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0001109354.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"])))