Anika Therapeutics (ANIK) Total Liabilities (2010 - 2026)
Anika Therapeutics (ANIK) reported Total Liabilities of $46.19 million for Q2 2026, up 15.5% from $40.01 million a year earlier and up 1.6% from the prior quarter.
Anika Therapeutics (ANIK) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Anika Therapeutics posted Total Liabilities of $46.81 million, down 4.0% from FY2024.
- Total Liabilities has declined for three consecutive years, with a five-year compound annual growth rate of -12.9% (FY2020 to FY2025).
- By year, Total Liabilities came in at $48.75 million in FY2024 (-16.5%), $58.37 million in FY2023 (-8.2%), $63.57 million in FY2022 (+5.2%) and $60.45 million in FY2021 (-35.1%).
- Five-year quarterly Total Liabilities spans a low of $40.01 million in Q2 2025 and a high of $67.97 million in Q2 2022.
- Year over year, Total Liabilities gained in two of the last eight quarters, with an average decline of 9.0%.
- The high point for year-over-year Total Liabilities in five years was Q2 2026 (growth of 15.5%); the low point was Q3 2021 (a decline of 52.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $45.49 million (Q1 2026), $46.81 million (Q4 2025) and $42.63 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 26.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 3.14 Bn |
| 10 | Anika Therapeutics | 276.76 Mn | 10.21 Mn | 21.24 Mn | 46.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.19 Mn |
| Mar 31, 2026 | 45.49 Mn |
| Dec 31, 2025 | 46.81 Mn |
| Sep 30, 2025 | 42.63 Mn |
| Jun 30, 2025 | 40.01 Mn |
| Mar 31, 2025 | 42.21 Mn |
| Dec 31, 2024 | 48.75 Mn |
| Sep 30, 2024 | 51.54 Mn |
| Jun 30, 2024 | 52.32 Mn |
| Mar 31, 2024 | 55.21 Mn |
| Dec 31, 2023 | 58.37 Mn |
| Sep 30, 2023 | 57.67 Mn |
| Jun 30, 2023 | 54.87 Mn |
| Mar 31, 2023 | 61.49 Mn |
| Dec 31, 2022 | 63.57 Mn |
| Sep 30, 2022 | 62.81 Mn |
| Jun 30, 2022 | 67.97 Mn |
| Mar 31, 2022 | 56.45 Mn |
| Dec 31, 2021 | 60.45 Mn |
| Sep 30, 2021 | 62.87 Mn |
Anika Therapeutics Total Liabilities 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=total-liabilities&ticker=ANIK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ANIK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();