Anika Therapeutics (ANIK) Total Non-Current Liabilities (2010 - 2026)
Anika Therapeutics (ANIK) reported Total Non-Current Liabilities of $45.46 million for Q2 2026, up 15.8% from $39.25 million a year earlier and up 1.6% from the prior quarter.
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Analysis
Anika Therapeutics (ANIK) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Anika Therapeutics posted Total Non-Current Liabilities of $46.1 million, down 3.9% from FY2024.
- Total Non-Current Liabilities has declined for three consecutive years, with a five-year compound annual growth rate of -8.2% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $47.98 million in FY2024 (-17.2%), $57.96 million in FY2023 (-8.2%), $63.17 million in FY2022 (+6.7%) and $59.19 million in FY2021 (-16.5%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $39.25 million in Q2 2025 and a high of $67.38 million in Q2 2022.
- Year over year, Total Non-Current Liabilities gained in two of the last eight quarters, with an average decline of 9.4%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2026 (growth of 15.8%); the low point was Q3 2021 (a decline of 32.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $44.76 million (Q1 2026), $46.1 million (Q4 2025) and $41.87 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Anika Therapeutics | 263.11 Mn | -3.44 Mn | 21.24 Mn | 45.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.46 Mn |
| Mar 31, 2026 | 44.76 Mn |
| Dec 31, 2025 | 46.10 Mn |
| Sep 30, 2025 | 41.87 Mn |
| Jun 30, 2025 | 39.25 Mn |
| Mar 31, 2025 | 41.46 Mn |
| Dec 31, 2024 | 47.98 Mn |
| Sep 30, 2024 | 50.74 Mn |
| Jun 30, 2024 | 51.91 Mn |
| Mar 31, 2024 | 54.80 Mn |
| Dec 31, 2023 | 57.96 Mn |
| Sep 30, 2023 | 57.27 Mn |
| Jun 30, 2023 | 54.47 Mn |
| Mar 31, 2023 | 61.09 Mn |
| Dec 31, 2022 | 63.17 Mn |
| Sep 30, 2022 | 62.34 Mn |
| Jun 30, 2022 | 67.38 Mn |
| Mar 31, 2022 | 55.77 Mn |
| Dec 31, 2021 | 59.19 Mn |
| Sep 30, 2021 | 61.38 Mn |
API Access
Anika Therapeutics Total Non-Current 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-non-current-liabilities&ticker=ANIK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=ANIK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();