Artivion (AORT) Operating Expenses (2010 - 2026)
Artivion (AORT) reported Operating Expenses of $88.88 million for Q2 2026, up 37.3% from $64.73 million a year earlier and up 27.6% from the prior quarter.
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Analysis
Artivion (AORT) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Artivion's Operating Expenses came in at $289.86 million, up 20.0% year-over-year; for FY2025, it came in at $257.48 million, up 22.7% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 9.3% (FY2020 to FY2025).
- By year, Operating Expenses came in at $209.91 million in FY2024 (-11.7%), $237.68 million in FY2023 (+21.1%), $196.32 million in FY2022 (-4.4%) and $205.32 million in FY2021 (+24.2%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses in data going back to Q2 2010.
- Year over year, Operating Expenses has now increased in each of the last seven quarters, with growth averaging 19.4% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q1 2025 (growth of 63.2%); the low point was Q1 2024 (a decline of 34.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $69.66 million (Q1 2026), $65.96 million (Q4 2025) and $65.36 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Artivion | 1.11 Bn | 842.18 Mn | 80.52 Mn | 88.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 88.88 Mn |
| Mar 31, 2026 | 69.66 Mn |
| Dec 31, 2025 | 65.96 Mn |
| Sep 30, 2025 | 65.36 Mn |
| Jun 30, 2025 | 64.73 Mn |
| Mar 31, 2025 | 61.43 Mn |
| Dec 31, 2024 | 58.83 Mn |
| Sep 30, 2024 | 56.62 Mn |
| Jun 30, 2024 | 56.82 Mn |
| Mar 31, 2024 | 37.64 Mn |
| Dec 31, 2023 | 57.92 Mn |
| Sep 30, 2023 | 57.51 Mn |
| Jun 30, 2023 | 64.66 Mn |
| Mar 31, 2023 | 57.59 Mn |
| Dec 31, 2022 | 46.76 Mn |
| Sep 30, 2022 | 52.85 Mn |
| Jun 30, 2022 | 47.63 Mn |
| Mar 31, 2022 | 49.08 Mn |
| Dec 31, 2021 | 60.71 Mn |
| Sep 30, 2021 | 49.03 Mn |
API Access
Artivion Operating 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=operating-expenses&ticker=AORT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=AORT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();