AVITA Medical (RCEL) Non-Current Debt (2023 - 2025)
AVITA Medical (RCEL) reported Non-Current Debt of $42.22 million for Q2 2025, up 3.0% from $40.99 million a year earlier and up 1.8% from the prior quarter.
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Analysis
AVITA Medical (RCEL) Non-Current Debt (2023 - 2025) Analysis & Trends
At the end of FY2024, AVITA Medical posted Non-Current Debt of $42.25 million, up 6.1% from FY2023.
- By year, Non-Current Debt came in at $39.81 million in FY2023.
- Five-year quarterly Non-Current Debt spans a low of $39.81 million in Q4 2023 and a high of $42.55 million in Q3 2024.
- Year over year, Non-Current Debt has now increased in each of the last three quarters.
- Per Business Quant data, the three quarters before Q2 2025 came in at $41.46 million (Q1 2025), $42.25 million (Q4 2024) and $42.55 million (Q3 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 39.18 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 29.60 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 25.15 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | - |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 25.62 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 14.19 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 10.92 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 598.70 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 13.51 Bn |
| 10 | AVITA Medical | 369.89 Mn | 301.56 Mn | 17.77 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 42.22 Mn |
| Mar 31, 2025 | 41.46 Mn |
| Dec 31, 2024 | 42.25 Mn |
| Sep 30, 2024 | 42.55 Mn |
| Jun 30, 2024 | 40.99 Mn |
| Mar 31, 2024 | 41.30 Mn |
| Dec 31, 2023 | 39.81 Mn |
API Access
AVITA Medical Non-Current Debt 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=non-current-debt&ticker=RCEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=RCEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();