GT Biopharma, Inc.: research and development expense
GT Biopharma research and development expense: $3.47 million for the year ending 2025-12-31, down 40.1% on the year. 16 values since 2010 from SEC filings.
All GT Biopharma, Inc. financial histories
At a glance
GT Biopharma reported research and development expense of $3.47 million for the year ending 2025-12-31, down 40.1% from $5.80 million a year earlier. Across the last five reported years it ranged from $3.47 million (2025-12-31) to $9.59 million (2021-12-31).
Computed from the values in the table below, in USD; each links to the filing it came from.
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 2010-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2025-01-01 | 2025-12-31 | 3,472,000 | USD | 2026-03-02 | 10-K · 0001493152-26-008443 SEC |
| 2024-01-01 | 2024-12-31 | 5,798,000 | USD | 2026-03-02 | 10-K · 0001493152-26-008443 SEC |
| 2023-01-01 | 2023-12-31 | 6,466,000 | USD | 2025-02-21 | 10-K · 0001493152-25-007908 SEC |
| 2022-01-01 | 2022-12-31 | 8,811,000 | USD | 2024-03-26 | 10-K · 0001493152-24-011332 SEC |
| 2021-01-01 | 2021-12-31 | 9,591,000 | USD | 2023-03-30 | 10-K · 0001493152-23-009812 SEC |
| 2020-01-01 | 2020-12-31 | 485,000 | USD | 2022-03-28 | 10-K · 0001493152-22-007883 SEC |
| 2019-01-01 | 2019-12-31 | 1,667,000 | USD | 2021-04-16 | 10-K · 0001654954-21-004295 SEC |
| 2018-01-01 | 2018-12-31 | 9,067,000 | USD | 2020-03-27 | 10-K · 0001654954-20-003380 SEC |
| 2017-01-01 | 2017-12-31 | 1,068,000 | USD | 2019-03-29 | 10-K · 0001654954-19-003697 SEC |
| 2016-01-01 | 2016-12-31 | 975,000 | USD | 2018-03-01 | 10-K · 0001654954-18-002054 SEC |
| 2015-01-01 | 2015-12-31 | 1,000,000 | USD | 2018-02-28 | 10-K/A · 0001654954-18-001973 SEC |
| 2014-01-01 | 2014-12-31 | 0 | USD | 2018-02-28 | 10-K/A · 0001654954-18-001969 SEC |
| 2013-01-01 | 2013-12-31 | 0 | USD | 2015-03-31 | 10-K · 0001513160-15-000022 SEC |
| 2012-01-01 | 2012-12-31 | 0 | USD | 2015-01-08 | 10-K · 0001513160-15-000005 SEC |
| 2011-01-01 | 2011-12-31 | 17,000 | USD | 2014-11-18 | 10-K · 0001513160-14-000064 SEC |
| 2010-01-01 | 2010-12-31 | 179,000 | USD | 2012-04-16 | 10-K · 0001513160-12-000030 SEC |
Related GT BIOPHARMA, INC. histories
Inspect the source
- Entity
- GT BIOPHARMA, INC. / CIK 0000109657
- Captured
- SEC response SHA-256
0714d67deac3d58f2a709d6724403717be9f1cb5b62a0b01bb00eb4ad237a7b1
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
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Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0000109657.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"])))