AVITA Medical (RCEL) Change in Accrued Expenses (2019 - 2026)
AVITA Medical (RCEL) recorded Change in Accured Expenses of $7.4 million in Q4 2025, up 996.4% from $675,000 a year earlier.
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Analysis
AVITA Medical (RCEL) Change in Accrued Expenses (2019 - 2026) Analysis & Trends
For FY2025, AVITA Medical reported Change in Accured Expenses of $2.75 million, up 10.7% from FY2024.
- Annual Change in Accured Expenses has increased for three straight years, with a five-year compound annual growth rate of 3.5% (FY2020 to FY2025).
- Across earlier years, Change in Accured Expenses came in at $2.48 million in FY2024 (+10.1%), $2.25 million in FY2023 (+77.0%), $1.27 million in FY2022 (-37.8%) and $2.05 million in FY2021.
- The Q4 2025 figure is the highest quarterly Change in Accured Expenses in data going back to Q4 2022.
- On a year-over-year basis, Change in Accured Expenses rose in two of the last four quarters, with growth averaging 382.7%.
- Per Business Quant, the preceding three quarters came in at -$2.15 million (Q3 2025), -$4.84 million (Q2 2025) and $2.33 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | - |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | - |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 30.00 Mn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 80.10 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 77.00 Mn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 89.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 67.20 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 255.00 Mn |
| 10 | AVITA Medical | 546.49 Mn | 492.41 Mn | 21.94 Mn | -1.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -1.64 Mn |
| Jun 30, 2026 | -762,000.00 |
| Mar 31, 2026 | -1.79 Mn |
| Dec 31, 2025 | 7.40 Mn |
| Sep 30, 2025 | -2.15 Mn |
| Jun 30, 2025 | -4.84 Mn |
| Mar 31, 2025 | 2.33 Mn |
| Dec 31, 2024 | 675,000.00 |
| Sep 30, 2024 | 3.21 Mn |
| Jun 30, 2024 | 768,000.00 |
| Mar 31, 2024 | -2.17 Mn |
| Dec 31, 2023 | 823,000.00 |
| Sep 30, 2023 | -223,000.00 |
| Jun 30, 2023 | 3.70 Mn |
| Mar 31, 2023 | -2.96 Mn |
| Dec 31, 2022 | 2.54 Mn |
| Mar 31, 2022 | -2.45 Mn |
| Sep 30, 2021 | -655,000.00 |
| Jun 30, 2021 | -438,000.00 |
| Mar 31, 2021 | -1.83 Mn |
API Access
AVITA Medical Change in Accrued Expenses 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=change-in-accured-expenses&ticker=RCEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=RCEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();