GT Biopharma (GTBP) Times Interest Earned (2010 - 2026)
GT Biopharma's (GTBP) Times Interest Earned stood at -45.21 in Q1 2026.
Analysis
GT Biopharma (GTBP) Times Interest Earned (2010 - 2026) Analysis & Trends
On a TTM basis, GT Biopharma's Times Interest Earned came in at -208.41 as of Mar 31, 2026; for FY2025, it was -97.81.
- Across earlier years, Times Interest Earned came in at -63.74 in FY2023, -2657.13 in FY2022 and -80.10 in FY2021.
- The Q1 2026 figure is the highest quarterly Times Interest Earned since Q1 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 25.41 |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | - |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 10.28 |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 7.27 |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 5.22 |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -42.08 |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | GT Biopharma | 9.11 Mn | 9.11 Mn | - | -45.21 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -45.21 |
| Jun 30, 2023 | -3,621.00 |
| Mar 31, 2023 | -17.29 |
| Dec 31, 2021 | -826.27 |
| Mar 31, 2021 | -41.67 |
| Dec 31, 2020 | 1.23 |
| Sep 30, 2020 | -2.09 |
| Jun 30, 2020 | -0.33 |
| Mar 31, 2020 | 1.68 |
| Dec 31, 2019 | 8.63 |
| Sep 30, 2019 | -15.81 |
| Jun 30, 2019 | -4.76 |
| Mar 31, 2019 | -8.93 |
| Dec 31, 2018 | -2.71 |
| Sep 30, 2018 | -208.96 |
| Jun 30, 2018 | -1.31 |
| Mar 31, 2018 | -2.44 |
| Dec 31, 2017 | -43.64 |
| Sep 30, 2017 | -33.66 |
| Jun 30, 2017 | -1.09 |
API Access
GT Biopharma Times Interest Earned 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=times-interest-earned&ticker=GTBP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=GTBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();