BioRestorative Therapies (BRTX) Intangibles (2010 - 2026)
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Analysis
BioRestorative Therapies (BRTX) Intangibles (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 18.08 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 46.65 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 56.65 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 24.48 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | 11.80 Bn |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 38.15 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 19.54 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 13.42 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 45.96 Bn |
| 10 | BioRestorative Therapies | 1.36 Mn | -17.06 Mn | 15,785.00 | 511,761.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 511,761.00 |
| Dec 31, 2025 | 534,198.00 |
| Sep 30, 2025 | 556,634.00 |
| Jun 30, 2025 | 579,071.00 |
| Mar 31, 2025 | 601,508.00 |
| Dec 31, 2024 | 623,945.00 |
| Sep 30, 2024 | 646,381.00 |
| Jun 30, 2024 | 668,818.00 |
| Mar 31, 2024 | 691,255.00 |
| Dec 31, 2023 | 713,692.00 |
| Sep 30, 2023 | 736,128.00 |
| Jun 30, 2023 | 758,565.00 |
| Mar 31, 2023 | 781,002.00 |
| Dec 31, 2022 | 803,438.00 |
| Sep 30, 2022 | 530,298.00 |
| Jun 30, 2022 | 550,703.00 |
| Mar 31, 2022 | 571,109.00 |
| Dec 31, 2021 | 589,740.00 |
| Sep 30, 2021 | 608,372.00 |
| Jun 30, 2021 | 627,004.00 |
API Access
BioRestorative Therapies Intangibles 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=intangibles&ticker=BRTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=BRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();