Axogen (AXGN) Change in Inventory (2010 - 2026)
Axogen's Change in Inventory came in at $1.75 million for Q3 2026, down 54.0% from $3.81 million a year earlier but up 41.2% from the prior quarter.
Axogen (AXGN) Change in Inventory (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Axogen reported Change in Inventory of $8.48 million, down 24.4% year-over-year; for FY2025, it came in at $9.19 million, down 9.6% from FY2024.
- Change in Inventory carries a five-year compound annual growth rate of 58.8% (FY2020 to FY2025).
- Going back by year, Change in Inventory was $10.16 million in FY2024 (+147.0%), $4.12 million in FY2023 (+118.1%), $1.89 million in FY2022 (-74.8%) and $7.48 million in FY2021 (+721.8%).
- The five-year range for quarterly Change in Inventory is -$1.92 million (Q4 2022) to $4.62 million (Q1 2024).
- Year-over-year, Change in Inventory increased in three of the last seven quarters, with growth averaging 45.4%.
- The fastest year-over-year change in Change in Inventory over five years came in Q2 2025 (growth of 235.1%), and the weakest in Q3 2022 (a decline of 85.8%).
- Business Quant data shows AXGN's Change in Inventory at $1.24 million (Q2 2026), $3.7 million (Q1 2026) and $1.79 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | - |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 51.00 Mn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 51.00 Mn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 307.40 Mn |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 240.00 Mn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 228.00 Mn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 86.00 Mn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 24.60 Mn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | - |
| 10 | Axogen | 2.79 Bn | 2.19 Bn | 56.73 Mn | 1.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.75 Mn |
| Jun 30, 2026 | 1.24 Mn |
| Mar 31, 2026 | 3.70 Mn |
| Dec 31, 2025 | 1.79 Mn |
| Sep 30, 2025 | 3.81 Mn |
| Jun 30, 2025 | 1.27 Mn |
| Mar 31, 2025 | 2.32 Mn |
| Dec 31, 2024 | 3.82 Mn |
| Sep 30, 2024 | 1.35 Mn |
| Jun 30, 2024 | 379,000.00 |
| Mar 31, 2024 | 4.62 Mn |
| Dec 31, 2023 | 1,000.00 |
| Sep 30, 2023 | 730,000.00 |
| Jun 30, 2023 | 1.86 Mn |
| Mar 31, 2023 | 1.53 Mn |
| Dec 31, 2022 | -1.92 Mn |
| Sep 30, 2022 | 346,000.00 |
| Jun 30, 2022 | 2.29 Mn |
| Mar 31, 2022 | 1.17 Mn |
| Dec 31, 2021 | 1.70 Mn |
Axogen Change in Inventory 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=change-in-inventory&ticker=AXGN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=AXGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();