Regenerative Medical Technology (RMTG) Total Liabilities (2017 - 2026)
Regenerative Medical Technology's Total Liabilities came in at $45.11 million for Q2 2026, up 34.6% from $33.51 million a year earlier and up 9.0% from the prior quarter.
Regenerative Medical Technology (RMTG) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Regenerative Medical Technology's Total Liabilities was $40.54 million, up 30.0% from FY2024.
- Total Liabilities has increased in each of the last five years, with a five-year compound annual growth rate of 43.6% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $31.18 million in FY2024 (+26.4%), $24.67 million in FY2023 (+23.0%), $20.06 million in FY2022 (+24.9%) and $16.06 million in FY2021 (+142.3%).
- The Q2 2026 figure represents the highest quarterly Total Liabilities in data going back to Q4 2017.
- Year-over-year, Total Liabilities has increased for 15 consecutive quarters, with growth averaging 23.9% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q4 2021 (growth of 142.3%), and the weakest in Q3 2022 (a decline of 14.8%).
- Business Quant data shows RMTG's Total Liabilities at $41.37 million (Q1 2026), $40.54 million (Q4 2025) and $34.57 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Regenerative Medical Technology | 824,338.06 | -3.70 Mn | 2.58 Mn | 45.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.11 Mn |
| Mar 31, 2026 | 41.37 Mn |
| Dec 31, 2025 | 40.54 Mn |
| Sep 30, 2025 | 34.57 Mn |
| Jun 30, 2025 | 33.51 Mn |
| Mar 31, 2025 | 32.10 Mn |
| Dec 31, 2024 | 31.18 Mn |
| Sep 30, 2024 | 29.95 Mn |
| Jun 30, 2024 | 28.88 Mn |
| Mar 31, 2024 | 26.84 Mn |
| Dec 31, 2023 | 24.67 Mn |
| Sep 30, 2023 | 24.85 Mn |
| Jun 30, 2023 | 23.22 Mn |
| Mar 31, 2023 | 21.72 Mn |
| Dec 31, 2022 | 20.06 Mn |
| Sep 30, 2022 | 19.23 Mn |
| Jun 30, 2022 | 19.37 Mn |
| Mar 31, 2022 | 17.13 Mn |
| Dec 31, 2021 | 16.06 Mn |
| Sep 30, 2021 | 22.57 Mn |
Regenerative Medical Technology 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=RMTG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "RMTG", "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=RMTG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();