Axogen (AXGN) Total Non-Current Liabilities (2017 - 2026)
Axogen's Total Non-Current Liabilities came in at $54.1 million for Q3 2026, down 42.2% from $93.59 million a year earlier but up 11.6% from the prior quarter.
Axogen (AXGN) Total Non-Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Axogen's Total Non-Current Liabilities was $88.81 million, down 8.7% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $97.33 million in FY2024 (-0.9%), $98.18 million in FY2023 (+9.2%), $89.87 million in FY2022 (unchanged) and $89.91 million in FY2021 (+18.7%).
- The five-year range for quarterly Total Non-Current Liabilities is $44.54 million (Q1 2026) to $98.18 million (Q4 2023).
- Year-over-year, Total Non-Current Liabilities has declined for four consecutive quarters, with an average decline of 18.3% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q4 2021 (growth of 18.7%), and the weakest in Q1 2026 (a decline of 49.4%).
- Business Quant data shows AXGN's Total Non-Current Liabilities at $48.47 million (Q2 2026), $44.54 million (Q1 2026) and $88.81 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 54.88 Bn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | - |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 33.44 Bn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | - |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 20.68 Bn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 17.15 Bn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 2.26 Bn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Axogen | 2.79 Bn | 2.19 Bn | 56.73 Mn | 54.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 54.10 Mn |
| Jun 30, 2026 | 48.47 Mn |
| Mar 31, 2026 | 44.54 Mn |
| Dec 31, 2025 | 88.81 Mn |
| Sep 30, 2025 | 93.59 Mn |
| Jun 30, 2025 | 90.96 Mn |
| Mar 31, 2025 | 88.10 Mn |
| Dec 31, 2024 | 97.33 Mn |
| Sep 30, 2024 | 90.04 Mn |
| Jun 30, 2024 | 90.69 Mn |
| Mar 31, 2024 | 90.44 Mn |
| Dec 31, 2023 | 98.18 Mn |
| Sep 30, 2023 | 92.95 Mn |
| Jun 30, 2023 | 90.22 Mn |
| Mar 31, 2023 | 87.26 Mn |
| Dec 31, 2022 | 89.87 Mn |
| Sep 30, 2022 | 89.67 Mn |
| Jun 30, 2022 | 89.52 Mn |
| Mar 31, 2022 | 88.86 Mn |
| Dec 31, 2021 | 89.91 Mn |
Axogen 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=AXGN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=AXGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();