Axogen (AXGN) Total Non-Current Liabilities (2017 - 2026)
Axogen's Total Non-Current Liabilities came in at $48.47 million for Q2 2026, down 46.8% from $91.1 million a year earlier but up 8.8% 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 $88.95 million, down 8.7% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $97.42 million in FY2024 (-0.8%), $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 three consecutive quarters, with an average decline of 13.4% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2021 (growth of 25.8%), and the weakest in Q1 2026 (a decline of 49.5%).
- Business Quant data shows AXGN's Total Non-Current Liabilities at $44.54 million (Q1 2026), $88.95 million (Q4 2025) and $93.73 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | - |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | - |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Axogen | 2.28 Bn | 1.99 Bn | 50.67 Mn | 48.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.47 Mn |
| Mar 31, 2026 | 44.54 Mn |
| Dec 31, 2025 | 88.95 Mn |
| Sep 30, 2025 | 93.73 Mn |
| Jun 30, 2025 | 91.10 Mn |
| Mar 31, 2025 | 88.24 Mn |
| Dec 31, 2024 | 97.42 Mn |
| Sep 30, 2024 | 90.13 Mn |
| Jun 30, 2024 | 90.79 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 |
| Sep 30, 2021 | 90.87 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();