GT Biopharma (GTBP) Research & Development (2010 - 2026)
GT Biopharma's Research & Development came in at $1.06 million for Q2 2026, up 190.6% from $363,000 a year earlier and up 155.4% from the prior quarter.
GT Biopharma (GTBP) Research & Development (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, GT Biopharma reported Research & Development of $3.48 million, down 26.0% year-over-year; for FY2025, it came in at $3.47 million, down 40.1% from FY2024.
- Research & Development has declined in each of the last four years, though with a five-year compound annual growth rate of 48.2% (FY2020 to FY2025).
- Going back by year, Research & Development was $5.8 million in FY2024 (-10.3%), $6.47 million in FY2023 (-26.6%), $8.81 million in FY2022 (-8.1%) and $9.59 million in FY2021.
- The five-year range for quarterly Research & Development is $363,000 (Q2 2025) to $6.3 million (Q4 2021).
- Year-over-year, Research & Development increased in three of the last eight quarters, with growth averaging 6.0%.
- The fastest year-over-year change in Research & Development over five years came in Q2 2026 (growth of 190.6%), and the weakest in Q2 2025 (a decline of 79.7%).
- Business Quant data shows GTBP's Research & Development at $413,000 (Q1 2026), $1.38 million (Q4 2025) and $634,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,359.75 Bn | 1,333.37 Bn | 20.46 Bn | 4.25 Bn |
| 2 | Johnson & Johnson | 688.76 Bn | 608.62 Bn | 17.30 Bn | 4.65 Bn |
| 3 | AbbVie | 521.69 Bn | 489.75 Bn | 13.12 Bn | 2.57 Bn |
| 4 | Merck | 364.31 Bn | 327.31 Bn | 13.19 Bn | 4.54 Bn |
| 5 | Novartis Ag | 306.35 Bn | 279.93 Bn | - | - |
| 6 | Astrazeneca | 285.96 Bn | 259.56 Bn | 13.26 Bn | 3.89 Bn |
| 7 | Amgen | 251.88 Bn | 203.53 Bn | 7.58 Bn | 2.11 Bn |
| 8 | Gilead Sciences | 208.59 Bn | 183.61 Bn | 6.73 Bn | 1.61 Bn |
| 9 | Pfizer | 164.73 Bn | 112.38 Bn | 12.56 Bn | 3.02 Bn |
| 10 | GT Biopharma | 6.65 Mn | -16.58 Mn | - | 1.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.06 Mn |
| Mar 31, 2026 | 413,000.00 |
| Dec 31, 2025 | 1.38 Mn |
| Sep 30, 2025 | 634,000.00 |
| Jun 30, 2025 | 363,000.00 |
| Mar 31, 2025 | 1.10 Mn |
| Dec 31, 2024 | 1.93 Mn |
| Sep 30, 2024 | 1.31 Mn |
| Jun 30, 2024 | 1.78 Mn |
| Mar 31, 2024 | 777,000.00 |
| Dec 31, 2023 | 1.36 Mn |
| Sep 30, 2023 | 1.36 Mn |
| Jun 30, 2023 | 2.10 Mn |
| Mar 31, 2023 | 1.65 Mn |
| Dec 31, 2022 | 2.84 Mn |
| Sep 30, 2022 | 2.74 Mn |
| Jun 30, 2022 | 1.14 Mn |
| Mar 31, 2022 | 2.09 Mn |
| Dec 31, 2021 | 6.30 Mn |
| Sep 30, 2021 | 1.01 Mn |
GT Biopharma Research & Development API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=research-and-development&ticker=GTBP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "GTBP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=research-and-development&ticker=GTBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();