AVITA Medical (RCEL) Net Long-Term Debt Issued (Repaid) (2019 - 2026)
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.
AVITA Medical (RCEL) Net Long-Term Debt Issued (Repaid) (2019 - 2026) 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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | -1.11 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | -1.33 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | - |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | - |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | - |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | - |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | - |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | - |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | -7.00 Mn |
| 10 | AVITA Medical | 546.49 Mn | 492.41 Mn | 21.94 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 49.08 Mn |
| 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 |
AVITA Medical Net Long-Term Debt Issued (Repaid) 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_KEY
import 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();