Regenerative Medical Technology (RMTG) Long-Term Debt Repayments (2021 - 2023)
Regenerative Medical Technology's Long-Term Debt Repayments came in at $9,850 for FY2023, down 52.6% from $20,776 in FY2022.
Analysis
Regenerative Medical Technology (RMTG) Long-Term Debt Repayments (2021 - 2023) Analysis & Trends
Going back to FY2020, Regenerative Medical Technology's Long-Term Debt Repayments data covers 4 years.
- Long-Term Debt Repayments carries a three-year compound annual growth rate of -26.7% (FY2020 to FY2023).
- The five-year range for annual Long-Term Debt Repayments is $1,812 (FY2021) to $25,000 (FY2020).
- Per Business Quant, earlier years put Long-Term Debt Repayments at $20,776 in FY2022, $1,812 in FY2021 (-92.8%) and $25,000 in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 873.00 Mn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 1.00 Mn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 2.00 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 5.00 Mn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 20.00 Mn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 2.46 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 17.00 Mn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | - |
| 10 | Regenerative Medical Technology | 549,558.71 | -3.98 Mn | 2.58 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 9,850.00 |
| Dec 31, 2022 | 6,494.00 |
| Sep 30, 2022 | 1,459.00 |
| Jun 30, 2022 | 11,427.00 |
| Mar 31, 2022 | 1,396.00 |
| Dec 31, 2021 | 1,358.00 |
API Access
Regenerative Medical Technology Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=RMTG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=RMTG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();