BioRestorative Therapies (BRTX) Times Interest Earned (2010 - 2022)
BioRestorative Therapies' (BRTX) Times Interest Earned stood at -159.83 in Q3 2022, compared with -7.44 a year earlier.
BioRestorative Therapies (BRTX) Times Interest Earned (2010 - 2022) Analysis & Trends
On a TTM basis, BioRestorative Therapies' Times Interest Earned came in at -33.68 as of Sep 30, 2022; for FY2018, it came in at -43.14.
- Across earlier years, Times Interest Earned came in at -27.20 in FY2015 and -17.26 in FY2014.
- The Q3 2022 figure is the lowest quarterly Times Interest Earned in data going back to Q2 2010.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 28.50 |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | - |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 9.20 |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 5.68 |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 12.87 |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | BioRestorative Therapies | 1.36 Mn | -17.06 Mn | 15,785.00 | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | -159.83 |
| Jun 30, 2022 | -99.30 |
| Mar 31, 2022 | -174.20 |
| Dec 31, 2021 | -1.17 |
| Sep 30, 2021 | -7.44 |
| Jun 30, 2021 | -7.01 |
| Mar 31, 2021 | -82.94 |
| Dec 31, 2020 | -0.45 |
| Sep 30, 2020 | -14.32 |
| Jun 30, 2020 | -68.19 |
| Mar 31, 2020 | -2.86 |
| Dec 31, 2019 | -5.03 |
| Sep 30, 2019 | -4.61 |
| Jun 30, 2019 | -6.49 |
| Mar 31, 2019 | -7.35 |
| Dec 31, 2018 | -2.64 |
| Sep 30, 2018 | -4.62 |
| Jun 30, 2018 | -8.90 |
| Mar 31, 2018 | -13.83 |
| Dec 31, 2017 | -9.78 |
BioRestorative Therapies 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=BRTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "ticker": "BRTX", "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=BRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();