Bioregenx (BRGX) Total Liabilities (2021 - 2026)
Bioregenx (BRGX) posted Total Liabilities of $4.9 million for Q1 2026, down 1.57% on a QoQ basis from $4.9 million in Q4 2025, and up 20.51% year-over-year from $4.0 million in Q1 2025.
Bioregenx (BRGX) Total Liabilities (2021 - 2026) Analysis & Trends
Bioregenx has reported Total Liabilities for 6 years, with the latest figure at $4.9 million in Q1 2026.
- On a quarterly basis, Total Liabilities rose 20.51% year-over-year to $4.9 million in Q1 2026; TTM through Mar 2026 was $4.9 million, a 20.51% increase from a year earlier, with the FY2025 full-year figure at $4.9 million, up 27.28% from the prior year.
- Total Liabilities was $4.9 million for Q1 2026 at Bioregenx, down from $4.9 million in the prior quarter.
- The five-year high for Total Liabilities was $4.9 million in Q4 2025, with the low at $101553.0 in Q1 2022.
- Average Total Liabilities over 5 years is $2.5 million, with a median of $3.5 million recorded in 2024.
- The sharpest annual moves came in 2023 and 2024: Total Liabilities rose 10.9% in 2023, then surged 1480.07% in 2024.
- Over 5 years, Total Liabilities stood at $260691.0 in 2022, then surged by 1026.69% to $2.9 million in 2023, then surged by 32.36% to $3.9 million in 2024, then advanced by 27.28% to $4.9 million in 2025, then retreated by 1.57% to $4.9 million in 2026.
- The last three Total Liabilities figures came in at $4.9 million (Q1 2026), $4.9 million (Q4 2025), and $4.8 million (Q3 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Abbott Laboratories | 177.43 Bn | 172.48 Bn | 7.27 Bn | 57.45 Bn |
| 2 | Intuitive Surgical | 139.20 Bn | 134.11 Bn | 1.96 Bn | 2.58 Bn |
| 3 | Medtronic | 118.01 Bn | 109.81 Bn | 6.34 Bn | 42.46 Bn |
| 4 | Stryker | 105.44 Bn | 101.96 Bn | 4.50 Bn | 23.94 Bn |
| 5 | Boston Scientific | 62.90 Bn | 62.60 Bn | 3.85 Bn | 20.04 Bn |
| 6 | Edwards Lifesciences | 50.87 Bn | 46.72 Bn | 1.35 Bn | 3.14 Bn |
| 7 | Dexcom | 33.72 Bn | 31.77 Bn | 830.00 Mn | 3.83 Bn |
| 8 | Resmed | 32.45 Bn | 30.98 Bn | 861.22 Mn | 2.38 Bn |
| 9 | Alcon | 31.70 Bn | 30.25 Bn | 1.68 Bn | 9.50 Bn |
| 10 | Bioregenx | 9.72 Mn | 9.67 Mn | 348,288.00 | 4.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 4.87 Mn |
| Dec 31, 2025 | 4.95 Mn |
| Sep 30, 2025 | 4.81 Mn |
| Jun 30, 2025 | 4.81 Mn |
| Mar 31, 2025 | 4.04 Mn |
| Dec 31, 2024 | 3.89 Mn |
| Sep 30, 2024 | 3.80 Mn |
| Jun 30, 2024 | 3.67 Mn |
| Mar 31, 2024 | 3.53 Mn |
| Dec 31, 2023 | 2.94 Mn |
| Sep 30, 2023 | 240,534.00 |
| Jun 30, 2023 | 237,568.00 |
| Mar 31, 2023 | 234,923.00 |
| Dec 31, 2022 | 260,691.00 |
| Sep 30, 2022 | 196,007.00 |
| Jun 30, 2022 | 214,216.00 |
| Mar 31, 2022 | 101,553.00 |
| Dec 31, 2021 | 211,996.00 |
Bioregenx 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=BRGX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "BRGX", "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=BRGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();