TG THERAPEUTICS, INC.: operating income or loss
Operating income or loss for TG THERAPEUTICS, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All TG THERAPEUTICS, INC. financial histories
What this measure means
Operating revenue less operating expenses for the reporting period. It excludes items outside the reported operating result and is not free cash flow.
Exact concept: us-gaap:OperatingIncomeLoss. 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 2011-01-01 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 | 123,324,000 | USD | 2026-02-27 | 10-K · 0001437749-26-006133 |
| 2024-01-01 | 2024-12-31 | 41,929,000 | USD | 2026-02-27 | 10-K · 0001437749-26-006133 |
| 2023-01-01 | 2023-12-31 | 20,633,000 | USD | 2026-02-27 | 10-K · 0001437749-26-006133 |
| 2022-01-01 | 2022-12-31 | -218,316,000 | USD | 2025-03-03 | 10-K · 0001437749-25-005908 |
| 2021-01-01 | 2021-12-31 | -344,770,000 | USD | 2024-02-29 | 10-K · 0001437749-24-006144 |
| 2020-01-01 | 2020-12-31 | -273,594,000 | USD | 2023-03-01 | 10-K · 0001558370-23-002610 |
| 2019-01-01 | 2019-12-31 | -169,055,000 | USD | 2022-03-01 | 10-K · 0001558370-22-002617 |
| 2018-01-01 | 2018-12-31 | -174,400,000 | USD | 2021-03-01 | 10-K · 0001558370-21-002149 |
| 2017-01-01 | 2017-12-31 | -118,712,000 | USD | 2020-03-02 | 10-K · 0001558370-20-001897 |
| 2016-01-01 | 2016-12-31 | -78,969,000 | USD | 2019-03-01 | 10-K · 0001654954-19-002189 |
| 2015-01-01 | 2015-12-31 | -63,180,016 | USD | 2018-03-15 | 10-K · 0001654954-18-002638 |
| 2014-01-01 | 2014-12-31 | -55,721,092 | USD | 2017-03-16 | 10-K · 0001654954-17-002050 |
| 2013-01-01 | 2013-12-31 | -22,965,989 | USD | 2016-03-15 | 10-K · 0001144204-16-088155 |
| 2012-01-01 | 2012-12-31 | -26,895,099 | USD | 2014-03-07 | 10-K · 0001144204-14-014207 |
| 2011-12-01 | 2012-12-31 | -27,777,073 | USD | 2013-03-21 | 10-K · 0001144204-13-016691 |
| 2011-01-01 | 2011-12-31 | -881,974 | USD | 2013-03-21 | 10-K · 0001144204-13-016691 |
Related financial histories
- TG THERAPEUTICS, INC.: total assets
- TG THERAPEUTICS, INC.: total liabilities
- TG THERAPEUTICS, INC.: stockholders equity
- TG THERAPEUTICS, INC.: cash and cash equivalents
- TG THERAPEUTICS, INC.: net income or loss
- TG THERAPEUTICS, INC.: operating cash flow
- TG THERAPEUTICS, INC.: capital expenditure payments
- TG THERAPEUTICS, INC.: revenue
- TG THERAPEUTICS, INC.: contract revenue excluding tax
- TG THERAPEUTICS, INC.: financing cash flow
- TG THERAPEUTICS, INC.: investing cash flow
- TG THERAPEUTICS, INC.: retained earnings or deficit
- TG THERAPEUTICS, INC.: basic weighted-average shares
- TG THERAPEUTICS, INC.: diluted weighted-average shares
- TG THERAPEUTICS, INC.: basic earnings per share
- TG THERAPEUTICS, INC.: diluted earnings per share
- TG THERAPEUTICS, INC.: income tax expense or benefit
- TG THERAPEUTICS, INC.: net property, plant and equipment
- TG THERAPEUTICS, INC.: share-based compensation expense
- TG THERAPEUTICS, INC.: current assets
- TG THERAPEUTICS, INC.: interest expense
- TG THERAPEUTICS, INC.: current liabilities
- TG THERAPEUTICS, INC.: goodwill carrying amount
- TG THERAPEUTICS, INC.: net current accounts receivable
- TG THERAPEUTICS, INC.: common-stock repurchase payments
- TG THERAPEUTICS, INC.: operating expenses
- TG THERAPEUTICS, INC.: net inventory
- TG THERAPEUTICS, INC.: selling, general and administrative expense
- TG THERAPEUTICS, INC.: research and development expense
Inspect the source
- Entity
- TG THERAPEUTICS, INC. / CIK 0001001316
- Captured
- 2026-09-20T05:11:16.212Z
- SEC response SHA-256
153d276440c1903144d2ca193676af4b7014428a3e4b5524efe33528427880b3
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/0001001316.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"])))