BioRestorative Therapies (BRTX) Non-Current Debt (2010 - 2021)
BioRestorative Therapies' Non-Current Debt was $250,000 in FY2021.
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Analysis
BioRestorative Therapies (BRTX) Non-Current Debt (2010 - 2021) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 37.34 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 62.48 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 51.08 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -108.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 51.86 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 23.83 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 60.50 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | - |
| 10 | BioRestorative Therapies | 1.03 Mn | -22.90 Mn | 17,964.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | 250,000.00 |
| Sep 30, 2021 | 5.85 Mn |
| Jun 30, 2021 | 4.78 Mn |
| Mar 31, 2021 | 4.48 Mn |
| Dec 31, 2020 | 4.27 Mn |
| Sep 30, 2019 | 157,143.00 |
| Jun 30, 2019 | 200,800.00 |
| Mar 31, 2019 | 488,112.00 |
| Dec 31, 2018 | 523,894.00 |
| Sep 30, 2018 | 1.19 Mn |
| Jun 30, 2018 | 368,718.00 |
| Mar 31, 2018 | 84,355.00 |
| Dec 31, 2017 | 194,282.00 |
| Sep 30, 2017 | 61,686.00 |
| Jun 30, 2017 | 120,120.00 |
| Mar 31, 2017 | 137,626.00 |
| Dec 31, 2016 | 297,756.00 |
| Jun 30, 2016 | 499,341.00 |
| Dec 31, 2015 | 302,001.00 |
| Sep 30, 2015 | 422,182.00 |
API Access
BioRestorative Therapies Non-Current Debt 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=non-current-debt&ticker=BRTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=BRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();