Anika Therapeutics (ANIK) Operating Expenses (2010 - 2026)
Anika Therapeutics' Operating Expenses came in at $18.29 million for Q2 2026, down 1.4% from $18.54 million a year earlier and down 25.3% from the prior quarter.
Anika Therapeutics (ANIK) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Anika Therapeutics reported Operating Expenses of $80.13 million, up 7.1% year-over-year; for FY2025, it came in at $74.86 million, down 7.7% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of -5.1% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $81.1 million in FY2024 (-0.7%), $81.69 million in FY2023 (+17.5%), $69.55 million in FY2022 (-13.4%) and $80.33 million in FY2021 (-17.5%).
- The Q2 2026 figure represents the lowest quarterly Operating Expenses since Q4 2024.
- Year-over-year, Operating Expenses increased in two of the last seven quarters, with an average decline of 5.8%.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2022 (growth of 142.8%), and the weakest in Q3 2024 (a decline of 40.3%).
- Business Quant data shows ANIK's Operating Expenses at $24.49 million (Q1 2026), $18.53 million (Q4 2025) and $18.82 million (Q3 2025) in the three quarters before Q2 2026.
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 | Anika Therapeutics | 276.76 Mn | 10.21 Mn | 21.24 Mn | 18.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.29 Mn |
| Mar 31, 2026 | 24.49 Mn |
| Dec 31, 2025 | 18.53 Mn |
| Sep 30, 2025 | 18.82 Mn |
| Jun 30, 2025 | 18.54 Mn |
| Mar 31, 2025 | 18.97 Mn |
| Dec 31, 2024 | 17.83 Mn |
| Sep 30, 2024 | 19.49 Mn |
| Jun 30, 2024 | 22.30 Mn |
| Mar 31, 2024 | 21.48 Mn |
| Dec 31, 2023 | -18.93 Mn |
| Sep 30, 2023 | 32.62 Mn |
| Jun 30, 2023 | 32.60 Mn |
| Mar 31, 2023 | 35.40 Mn |
| Dec 31, 2022 | -12.63 Mn |
| Sep 30, 2022 | 28.58 Mn |
| Jun 30, 2022 | 28.24 Mn |
| Mar 31, 2022 | 25.36 Mn |
| Dec 31, 2021 | 27.26 Mn |
| Sep 30, 2021 | 21.72 Mn |
Anika Therapeutics 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=ANIK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ANIK", "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=ANIK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();