Axogen (AXGN) Operating Expenses (2010 - 2026)
Axogen (AXGN) recorded Operating Expenses of $52.83 million in Q2 2026, up 30.9% from $40.35 million a year earlier and up 7.8% from the prior quarter.
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Analysis
Axogen (AXGN) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Axogen's Operating Expenses came in at $200.11 million as of Jun 30, 2026, up 34.1% year-over-year; for FY2025, it came in at $175.2 million, up 20.6% from FY2024.
- Annual Operating Expenses has increased for five straight years, with a five-year compound annual growth rate of 9.0% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $145.26 million in FY2024 (+1.3%), $143.33 million in FY2023 (+3.5%), $138.52 million in FY2022 (+6.7%) and $129.84 million in FY2021 (+14.0%).
- Quarterly Operating Expenses has ranged from $30 million in Q4 2022 to $54.18 million in Q4 2025 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for five consecutive quarters, with growth averaging 19.0% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 52.4% in Q4 2025, against a decline of 4.6% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $49.02 million (Q1 2026), $54.18 million (Q4 2025) and $44.08 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Axogen | 2.33 Bn | 2.04 Bn | 50.67 Mn | 52.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 52.83 Mn |
| Mar 31, 2026 | 49.02 Mn |
| Dec 31, 2025 | 54.18 Mn |
| Sep 30, 2025 | 44.08 Mn |
| Jun 30, 2025 | 40.35 Mn |
| Mar 31, 2025 | 36.59 Mn |
| Dec 31, 2024 | 35.56 Mn |
| Sep 30, 2024 | 36.75 Mn |
| Jun 30, 2024 | 35.77 Mn |
| Mar 31, 2024 | 37.18 Mn |
| Dec 31, 2023 | 35.22 Mn |
| Sep 30, 2023 | 35.73 Mn |
| Jun 30, 2023 | 36.55 Mn |
| Mar 31, 2023 | 35.83 Mn |
| Dec 31, 2022 | 30.00 Mn |
| Sep 30, 2022 | 35.64 Mn |
| Jun 30, 2022 | 36.09 Mn |
| Mar 31, 2022 | 36.78 Mn |
| Dec 31, 2021 | 31.46 Mn |
| Sep 30, 2021 | 32.65 Mn |
API Access
Axogen 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=AXGN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AXGN", "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=AXGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();