Artivion (AORT) Change in Accrued Expenses (2009 - 2026)
Artivion (AORT) reported Change in Accured Expenses of $4.33 million for Q2 2026, down 55.9% from $9.83 million a year earlier.
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Analysis
Artivion (AORT) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Artivion's Change in Accured Expenses came in at $4.04 million, down 56.6% year-over-year; for FY2025, it came in at $2.18 million, down 77.0% from FY2024.
- By year, Change in Accured Expenses came in at $9.5 million in FY2024 (+111.3%), $4.5 million in FY2023 (+456.3%), $808,000 in FY2022 and -$1.89 million in FY2021.
- Five-year quarterly Change in Accured Expenses spans a low of -$16.05 million in Q1 2025 and a high of $14.74 million in Q4 2024.
- Year over year, Change in Accured Expenses gained in two of the last four quarters, with growth averaging 94.3%.
- The high point for year-over-year Change in Accured Expenses in five years was Q4 2024 (growth of 260.9%); the low point was Q3 2021 (a decline of 63.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at -$8.7 million (Q1 2026), $9.38 million (Q4 2025) and -$967,000 (Q3 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 | Artivion | 999.70 Mn | 753.32 Mn | 75.98 Mn | -17.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -17.10 Mn |
| Jun 30, 2026 | 4.33 Mn |
| Mar 31, 2026 | -8.70 Mn |
| Dec 31, 2025 | 9.38 Mn |
| Sep 30, 2025 | -967,000.00 |
| Jun 30, 2025 | 9.83 Mn |
| Mar 31, 2025 | -16.05 Mn |
| Dec 31, 2024 | 14.74 Mn |
| Sep 30, 2024 | 794,000.00 |
| Jun 30, 2024 | 3.19 Mn |
| Mar 31, 2024 | -9.22 Mn |
| Dec 31, 2023 | 4.08 Mn |
| Sep 30, 2023 | -1.20 Mn |
| Jun 30, 2023 | 7.92 Mn |
| Mar 31, 2023 | -6.31 Mn |
| Dec 31, 2022 | 2.91 Mn |
| Sep 30, 2022 | 3.57 Mn |
| Jun 30, 2022 | -2.36 Mn |
| Mar 31, 2022 | -3.32 Mn |
| Dec 31, 2021 | -1.96 Mn |
API Access
Artivion 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=AORT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "AORT", "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=AORT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();