Skip to content

TG Therapeutics, Inc.: share-based compensation expense

TG Therapeutics share-based compensation expense: $64.7 million for the year ending 2025-12-31, up 52.0% on the year. 15 values since 2011 from SEC filings.

All TG Therapeutics, Inc. financial histories

At a glance

TG Therapeutics reported share-based compensation expense of $64.7 million for the year ending 2025-12-31, up 52.0% from $42.5 million a year earlier. From 2011 to 2025 it grew at a compound 60.4% a year, from $86.5 thousand to $64.7 million. Across the last five reported years it ranged from $37.9 million (2023-12-31) to $64.7 million (2025-12-31). That was 10.5% of revenue ($616.3 million) for the same year.

Computed from the values in the table below, in USD; each links to the filing it came from.

What this measure means

Reported noncash expense for share-based payment arrangements. Noncash treatment does not mean the awards have no economic cost to shareholders.

Exact concept: us-gaap:ShareBasedCompensation. 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

Share-based compensation expense in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-3164,670,000USD2026-02-2710-K · 0001437749-26-006133 SEC
2024-01-012024-12-3142,541,000USD2026-02-2710-K · 0001437749-26-006133 SEC
2023-01-012023-12-3137,933,000USD2026-02-2710-K · 0001437749-26-006133 SEC
2022-01-012022-12-3144,662,000USD2025-03-0310-K · 0001437749-25-005908 SEC
2021-01-012021-12-3161,274,000USD2024-02-2910-K · 0001437749-24-006144 SEC
2020-01-012020-12-3180,289,000USD2023-03-0110-K · 0001558370-23-002610 SEC
2019-01-012019-12-3111,335,000USD2022-03-0110-K · 0001558370-22-002617 SEC
2018-01-012018-12-3112,886,000USD2021-03-0110-K · 0001558370-21-002149 SEC
2017-01-012017-12-3115,900,000USD2020-03-0210-K · 0001558370-20-001897 SEC
2016-01-012016-12-317,500,000USD2019-03-0110-K · 0001654954-19-002189 SEC
2015-01-012015-12-3115,697,092USD2018-03-1510-K · 0001654954-18-002638 SEC
2014-01-012014-12-3121,105,292USD2017-03-1610-K · 0001654954-17-002050 SEC
2013-01-012013-12-315,203,148USD2016-03-1510-K · 0001144204-16-088155 SEC
2012-01-012012-12-313,422,182USD2014-03-0710-K · 0001144204-14-014207 SEC
2011-12-012012-12-313,508,676USD2013-03-2110-K · 0001144204-13-016691 SEC
2011-01-012011-12-3186,494USD2013-03-2110-K · 0001144204-13-016691 SEC

Related TG THERAPEUTICS, INC. histories

All 56 TG Therapeutics histories

Inspect the source

Entity
TG THERAPEUTICS, INC. / CIK 0001001316
Captured
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.

The MCP server is free and MIT-licensed: npx -y canli-mcp. If these records help your research, a star on GitHub helps other researchers find them.

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"])))