3D SYSTEMS CORPORATION: investing cash flow
Investing cash flow for 3D SYSTEMS CORPORATION. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All 3D SYSTEMS CORPORATION financial histories
What this measure means
Net cash from investing activities, including asset purchases, disposals and investment transactions. This differs from capital expenditure payments alone.
Exact concept: us-gaap:NetCashProvidedByUsedInInvestingActivities. 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 | 108,990,000 | USD | 2026-03-09 | 10-K · 0001628280-26-015997 |
| 2024-01-01 | 2024-12-31 | -19,025,000 | USD | 2026-03-09 | 10-K · 0001628280-26-015997 |
| 2023-01-01 | 2023-12-31 | 124,784,000 | USD | 2026-03-09 | 10-K · 0001628280-26-015997 |
| 2022-01-01 | 2022-12-31 | -308,355,000 | USD | 2025-03-27 | 10-K · 0000910638-25-000005 |
| 2021-01-01 | 2021-12-31 | 260,555,000 | USD | 2024-08-13 | 10-K · 0000910638-24-000030 |
| 2020-01-01 | 2020-12-31 | -11,733,000 | USD | 2023-03-16 | 10-K · 0000910638-23-000009 |
| 2019-01-01 | 2019-12-31 | -24,372,000 | USD | 2022-03-01 | 10-K · 0000910638-22-000013 |
| 2018-01-01 | 2018-12-31 | -41,827,000 | USD | 2021-03-05 | 10-K · 0000910638-21-000008 |
| 2017-01-01 | 2017-12-31 | -70,659,000 | USD | 2020-02-26 | 10-K · 0000910638-20-000010 |
| 2016-01-01 | 2016-12-31 | -21,882,000 | USD | 2019-02-28 | 10-K · 0000910638-19-000004 |
| 2015-01-01 | 2015-12-31 | -120,855,000 | USD | 2018-03-14 | 10-K · 0000910638-18-000006 |
| 2012-01-01 | 2012-12-31 | -187,654,000 | USD | 2013-02-25 | 10-K · 0001193125-13-072822 |
| 2011-01-01 | 2011-12-31 | -95,709,000 | USD | 2013-02-25 | 10-K · 0001193125-13-072822 |
| 2010-01-01 | 2010-12-31 | -20,774,000 | USD | 2013-02-25 | 10-K · 0001193125-13-072822 |
| 2009-01-01 | 2009-12-31 | -5,243,000 | USD | 2012-02-23 | 10-K · 0001193125-12-074109 |
Related financial histories
- 3D SYSTEMS CORPORATION: total assets
- 3D SYSTEMS CORPORATION: total liabilities
- 3D SYSTEMS CORPORATION: stockholders equity
- 3D SYSTEMS CORPORATION: cash and cash equivalents
- 3D SYSTEMS CORPORATION: net income or loss
- 3D SYSTEMS CORPORATION: operating cash flow
- 3D SYSTEMS CORPORATION: capital expenditure payments
- 3D SYSTEMS CORPORATION: contract revenue excluding tax
- 3D SYSTEMS CORPORATION: financing cash flow
- 3D SYSTEMS CORPORATION: retained earnings or deficit
- 3D SYSTEMS CORPORATION: basic weighted-average shares
- 3D SYSTEMS CORPORATION: diluted weighted-average shares
- 3D SYSTEMS CORPORATION: basic earnings per share
- 3D SYSTEMS CORPORATION: diluted earnings per share
- 3D SYSTEMS CORPORATION: income tax expense or benefit
- 3D SYSTEMS CORPORATION: net property, plant and equipment
- 3D SYSTEMS CORPORATION: share-based compensation expense
- 3D SYSTEMS CORPORATION: operating income or loss
- 3D SYSTEMS CORPORATION: current assets
- 3D SYSTEMS CORPORATION: interest expense
- 3D SYSTEMS CORPORATION: current liabilities
- 3D SYSTEMS CORPORATION: current accounts payable
- 3D SYSTEMS CORPORATION: goodwill carrying amount
- 3D SYSTEMS CORPORATION: net finite-lived intangible assets
- 3D SYSTEMS CORPORATION: net current accounts receivable
- 3D SYSTEMS CORPORATION: common-stock repurchase payments
- 3D SYSTEMS CORPORATION: operating expenses
- 3D SYSTEMS CORPORATION: net inventory
- 3D SYSTEMS CORPORATION: gross profit
- 3D SYSTEMS CORPORATION: selling, general and administrative expense
- 3D SYSTEMS CORPORATION: research and development expense
Inspect the source
- Entity
- 3D SYSTEMS CORPORATION / CIK 0000910638
- Captured
- 2026-09-20T05:06:14.772Z
- SEC response SHA-256
5d899ad29681369f47fdaa81bcda3d15d5a8c721f851bd161a0b4872f12cb1da
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
- Connect the MCP server to your coding assistant
- Inspect the ALPHAC engine on GitHub
- 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/0000910638.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"])))