Elutia (ELUT) Long-Term Debt Repayments (2019 - 2024)
Elutia (ELUT) recorded Long-Term Debt Repayments of $2 million in Q1 2024.
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Analysis
Elutia (ELUT) Long-Term Debt Repayments (2019 - 2024) Analysis & Trends
For FY2022, Elutia reported Long-Term Debt Repayments of $18.62 million, up 570.1% from FY2021.
- Annual Long-Term Debt Repayments has increased for three straight years, with a three-year compound annual growth rate of 449.8% (FY2019 to FY2022).
- Across earlier years, Long-Term Debt Repayments came in at $2.78 million in FY2021 (+826.0%), $300,000 in FY2020 (+167.9%) and $112,000 in FY2019.
- The Q1 2024 figure is the highest quarterly Long-Term Debt Repayments since Q3 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 1.41 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | - |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 2.00 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | - |
| 10 | Elutia | 36.27 Mn | -53.18 Mn | 1.45 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 2.00 Mn |
| Sep 30, 2022 | 15.28 Mn |
| Jun 30, 2022 | 1.67 Mn |
| Mar 31, 2022 | 1.67 Mn |
| Dec 31, 2021 | 1.67 Mn |
| Mar 31, 2020 | 300,000.00 |
| Dec 31, 2019 | -1,000.00 |
API Access
Elutia 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=ELUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "ELUT", "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=ELUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();