BioRestorative Therapies (BRTX) Non-Current Assets (2010 - 2025)
BioRestorative Therapies' Non-Current Assets was $942,773 in Q4 2025, down 17.0% from $1.14 million a year earlier but up 0.8% from the prior quarter.
Analysis
BioRestorative Therapies (BRTX) Non-Current Assets (2010 - 2025) Analysis & Trends
From Q4 2010 onward, BioRestorative Therapies has reported Non-Current Assets for 59 quarters.
- Non-Current Assets has now declined for three consecutive years, with a five-year compound annual growth rate of -4.1% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $1.14 million in FY2024 (-7.0%), $1.22 million in FY2023 (-6.5%), $1.31 million in FY2022 (+32.5%) and $985,538 in FY2021 (-15.0%).
- Quarterly Non-Current Assets has moved between $918,752 (Q2 2025) and $1.31 million (Q4 2022) over five years.
- Compared with a year earlier, Non-Current Assets has declined for nine straight quarters, with an average decline of 12.9% over the last eight quarters.
- The best year-over-year quarter for Non-Current Assets over five years was Q4 2022 (growth of 32.5%); the worst was Q1 2025 (a decline of 17.8%).
- Per Business Quant data, BRTX's Non-Current Assets in the three quarters before Q4 2025 was $935,198 (Q3 2025), $918,752 (Q2 2025) and $971,500 (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 77.61 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 141.29 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 101.45 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 125.00 Mn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 94.68 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 87.87 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 60.68 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 35.42 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 159.77 Bn |
| 10 | BioRestorative Therapies | 687,973.67 | -23.25 Mn | 17,964.00 | 942,773.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 942,773.00 |
| Sep 30, 2025 | 935,198.00 |
| Jun 30, 2025 | 918,752.00 |
| Mar 31, 2025 | 971,500.00 |
| Dec 31, 2024 | 1.14 Mn |
| Sep 30, 2024 | 1.06 Mn |
| Jun 30, 2024 | 1.12 Mn |
| Mar 31, 2024 | 1.18 Mn |
| Dec 31, 2023 | 1.22 Mn |
| Sep 30, 2023 | 1.20 Mn |
| Jun 30, 2023 | 1.26 Mn |
| Mar 31, 2023 | 1.30 Mn |
| Dec 31, 2022 | 1.31 Mn |
| Sep 30, 2022 | 1.03 Mn |
| Jun 30, 2022 | 1.12 Mn |
| Mar 31, 2022 | 1.04 Mn |
| Dec 31, 2021 | 985,538.00 |
| Sep 30, 2021 | 1.01 Mn |
| Jun 30, 2021 | 1.06 Mn |
| Mar 31, 2021 | 1.11 Mn |
API Access
BioRestorative Therapies Non-Current Assets 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-assets&ticker=BRTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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-assets&ticker=BRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();