Artivion (AORT) Accumulated Expenses (2009 - 2026)
Artivion (AORT) reported Accumulated Expenses of $16.25 million for Q2 2026, up 42.8% from $11.38 million a year earlier but down 6.7% from the prior quarter.
Artivion (AORT) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Artivion posted Accumulated Expenses of $16.45 million, up 39.0% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of 17.1% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $11.83 million in FY2024 (+13.3%), $10.45 million in FY2023 (-15.6%), $12.37 million in FY2022 (+61.0%) and $7.69 million in FY2021 (+2.9%).
- Five-year quarterly Accumulated Expenses spans a low of $7.69 million in Q4 2021 and a high of $17.43 million in Q1 2026.
- Year over year, Accumulated Expenses has now increased in each of the last three quarters, with growth averaging 15.6% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q1 2024 (growth of 64.6%); the low point was Q2 2025 (a decline of 31.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $17.43 million (Q1 2026), $16.45 million (Q4 2025) and $12.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 |
| 10 | Artivion | 999.70 Mn | 753.32 Mn | 75.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 24.34 Mn |
| Jun 30, 2026 | 22.78 Mn |
| Mar 31, 2026 | 21.91 Mn |
| Dec 31, 2025 | 21.26 Mn |
| Sep 30, 2025 | 17.79 Mn |
| Jun 30, 2025 | 17.09 Mn |
| Mar 31, 2025 | 18.28 Mn |
| Dec 31, 2024 | 20.00 Mn |
| Sep 30, 2024 | 15.89 Mn |
| Jun 30, 2024 | 16.49 Mn |
| Mar 31, 2024 | 15.93 Mn |
| Dec 31, 2023 | 12.73 Mn |
| Sep 30, 2023 | 9.93 Mn |
| Jun 30, 2023 | 10.37 Mn |
| Mar 31, 2023 | 9.68 Mn |
| Dec 31, 2022 | 12.37 Mn |
| Sep 30, 2022 | 10.09 Mn |
| Jun 30, 2022 | 7.84 Mn |
| Mar 31, 2022 | 9.40 Mn |
| Dec 31, 2021 | 7.69 Mn |
Artivion Accumulated 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=accumulated-expenses&ticker=AORT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=AORT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();