AVITA Medical (RCEL) Long-Term Debt Repayments (2019 - 2021)
AVITA Medical (RCEL) reported Long-Term Debt Repayments of $2,000 for Q1 2022, down 50.0% from $4,000 a year earlier.
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Analysis
AVITA Medical (RCEL) Long-Term Debt Repayments (2019 - 2021) Analysis & Trends
Over the twelve months ended Sep 30, 2021, AVITA Medical's Long-Term Debt Repayments came in at $9,000, down 69.0% year-over-year; for FY2021, it came in at $11,000, down 73.8% from FY2020.
- Long-Term Debt Repayments has a three-year compound annual growth rate of -43.5% (FY2018 to FY2021).
- By year, Long-Term Debt Repayments came in at $42,000 in FY2020 (-32.3%), $62,000 in FY2019 (+1.6%) and $61,000 in FY2018.
- Five-year quarterly Long-Term Debt Repayments spans a low of $1,000 in Q3 2021 and a high of $17,000 in Q1 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.71 Bn | 229.74 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 178.38 Bn | 148.81 Bn | 7.27 Bn | 1.41 Bn |
| 3 | Danaher | 161.61 Bn | 145.42 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 154.15 Bn | 134.44 Bn | 2.08 Bn | - |
| 5 | Medtronic | 123.21 Bn | 88.46 Bn | 6.34 Bn | - |
| 6 | Stryker | 117.50 Bn | 103.61 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 67.50 Bn | 62.26 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 54.80 Bn | 51.95 Bn | 2.32 Bn | 2.00 Bn |
| 9 | Edwards Lifesciences | 51.78 Bn | 35.79 Bn | 1.35 Bn | - |
| 10 | AVITA Medical | 475.24 Mn | 406.92 Mn | 17.77 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2021 | 1,000.00 |
| Dec 31, 2020 | 6,000.00 |
| Sep 30, 2020 | 4,000.00 |
| Jun 30, 2020 | 5,000.00 |
| Mar 31, 2020 | 5,000.00 |
| Dec 31, 2019 | 15,000.00 |
| Sep 30, 2019 | 17,000.00 |
API Access
AVITA Medical 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=RCEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "RCEL", "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=RCEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();