Mimedx (MDXG) Long-Term Debt Repayments (2011 - 2024)
Mimedx's Long-Term Debt Repayments came in at $50 million for FY2024.
Analysis
Mimedx (MDXG) Long-Term Debt Repayments (2011 - 2024) Analysis & Trends
Going back to FY2011, Mimedx's Long-Term Debt Repayments data covers 6 years.
- Long-Term Debt Repayments carries a three-year compound annual growth rate of 995.8% (FY2021 to FY2024).
- The FY2024 figure represents the highest annual Long-Term Debt Repayments in data going back to FY2011.
- Per Business Quant, earlier years put Long-Term Debt Repayments at $38,000 in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 252.06 Bn | 231.09 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 175.85 Bn | 146.28 Bn | 7.27 Bn | 1.41 Bn |
| 3 | Danaher | 162.82 Bn | 146.63 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 154.68 Bn | 134.10 Bn | 1.96 Bn | - |
| 5 | Medtronic | 121.24 Bn | 86.49 Bn | 6.34 Bn | - |
| 6 | Stryker | 116.82 Bn | 102.94 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 66.43 Bn | 61.20 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 54.07 Bn | 51.21 Bn | 2.32 Bn | 2.00 Bn |
| 9 | Edwards Lifesciences | 51.42 Bn | 35.43 Bn | 1.35 Bn | - |
| 10 | Mimedx | 578.62 Mn | -25.20 Mn | 44.38 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -18,000.00 |
| Sep 30, 2024 | 1,000.00 |
| Jun 30, 2024 | 4,000.00 |
| Mar 31, 2024 | 80.01 Mn |
| Dec 31, 2023 | -36,000.00 |
| Sep 30, 2023 | 16,000.00 |
| Jun 30, 2023 | 16,000.00 |
| Mar 31, 2023 | 4,000.00 |
| Dec 31, 2022 | -29,000.00 |
| Sep 30, 2022 | 7,000.00 |
| Jun 30, 2022 | 11,000.00 |
| Mar 31, 2022 | 11,000.00 |
| Dec 31, 2021 | 11,000.00 |
| Sep 30, 2021 | 7,000.00 |
| Jun 30, 2021 | 13,000.00 |
| Mar 31, 2021 | 7,000.00 |
| Sep 30, 2020 | 72.00 Mn |
| Jun 30, 2020 | 10.94 Mn |
| Mar 31, 2020 | 937,000.00 |
| Dec 31, 2019 | 937,000.00 |
API Access
Mimedx 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=MDXG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "MDXG", "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=MDXG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();