BioRestorative Therapies (BRTX) Total Liabilities (2010 - 2026)
BioRestorative Therapies' Total Liabilities came in at $1.61 million for Q1 2026, down 61.4% from $4.18 million a year earlier and down 56.6% from the prior quarter.
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Analysis
BioRestorative Therapies (BRTX) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, BioRestorative Therapies' Total Liabilities was $3.72 million, down 0.7% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of -8.1% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $3.75 million in FY2024 (+43.8%), $2.61 million in FY2023 (-57.6%), $6.14 million in FY2022 (-47.4%) and $11.67 million in FY2021 (+105.5%).
- The Q1 2026 figure represents the lowest quarterly Total Liabilities since Q4 2010.
- Year-over-year, Total Liabilities has declined for four consecutive quarters, with an average decline of 6.5% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q1 2022 (growth of 134.0%), and the weakest in Q3 2023 (a decline of 62.6%).
- Business Quant data shows BRTX's Total Liabilities at $3.72 million (Q4 2025), $3.44 million (Q3 2025) and $3.67 million (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 107.80 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 152.26 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 87.83 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 68.11 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 81.70 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 38.37 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 115.70 Bn |
| 10 | BioRestorative Therapies | 1.36 Mn | -17.06 Mn | 15,785.00 | 1.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.61 Mn |
| Dec 31, 2025 | 3.72 Mn |
| Sep 30, 2025 | 3.44 Mn |
| Jun 30, 2025 | 3.67 Mn |
| Mar 31, 2025 | 4.18 Mn |
| Dec 31, 2024 | 3.75 Mn |
| Sep 30, 2024 | 4.58 Mn |
| Jun 30, 2024 | 5.32 Mn |
| Mar 31, 2024 | 3.45 Mn |
| Dec 31, 2023 | 2.61 Mn |
| Sep 30, 2023 | 3.04 Mn |
| Jun 30, 2023 | 10.66 Mn |
| Mar 31, 2023 | 7.62 Mn |
| Dec 31, 2022 | 6.14 Mn |
| Sep 30, 2022 | 8.14 Mn |
| Jun 30, 2022 | 7.29 Mn |
| Mar 31, 2022 | 14.97 Mn |
| Dec 31, 2021 | 11.67 Mn |
| Sep 30, 2021 | 7.05 Mn |
| Jun 30, 2021 | 6.69 Mn |
API Access
BioRestorative Therapies Total Liabilities 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=total-liabilities&ticker=BRTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=BRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();