Azenta (AZTA) Other Non-Current Liabilities (2010 - 2026)
Azenta's Other Non-Current Liabilities was $10.73 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 14.8% from $9.34 million a year earlier but down 1.5% from the prior quarter.
Azenta (AZTA) Other Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Other Non-Current Liabilities at Azenta came in at $11.14 million, up 20.2% from FY2024.
- Other Non-Current Liabilities shows a five-year compound annual growth rate of -9.6% (FY2020 to FY2025).
- In earlier fiscal years, Other Non-Current Liabilities was $9.27 million in FY2024 (-23.8%), $12.18 million in FY2023 (+81.1%), $6.72 million in FY2022 (+8.9%) and $6.17 million in FY2021 (-66.6%).
- Quarterly Other Non-Current Liabilities has moved between $1.4 million (fiscal Q2 2023) and $18.5 million (fiscal Q1 2023) over five years.
- Compared with a year earlier, Other Non-Current Liabilities has increased for four straight quarters, with an average decline of 0.9% over the last eight quarters.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was fiscal Q2 2024 (growth of 729.2%); the worst was fiscal Q2 2023 (a decline of 80.5%).
- Per Business Quant data, AZTA's Other Non-Current Liabilities in the three fiscal quarters before Q3 2026 was $10.89 million (Q2 2026), $11.48 million (Q1 2026) and $11.14 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Azenta | 1.53 Bn | 70.06 Mn | 72.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.73 Mn |
| Mar 31, 2026 | 10.89 Mn |
| Dec 31, 2025 | 11.48 Mn |
| Sep 30, 2025 | 11.14 Mn |
| Jun 30, 2025 | 9.34 Mn |
| Mar 31, 2025 | 10.06 Mn |
| Dec 31, 2024 | 8.23 Mn |
| Sep 30, 2024 | 9.27 Mn |
| Jun 30, 2024 | 11.59 Mn |
| Mar 31, 2024 | 11.61 Mn |
| Dec 31, 2023 | 12.32 Mn |
| Sep 30, 2023 | 12.18 Mn |
| Jun 30, 2023 | 12.76 Mn |
| Mar 31, 2023 | 1.40 Mn |
| Dec 31, 2022 | 18.50 Mn |
| Sep 30, 2022 | 6.72 Mn |
| Jun 30, 2022 | 6.62 Mn |
| Mar 31, 2022 | 7.16 Mn |
| Dec 31, 2021 | 4.37 Mn |
| Sep 30, 2021 | 6.17 Mn |
Azenta Other 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=other-non-current-liabilities&ticker=AZTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "ticker": "AZTA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-non-current-liabilities&ticker=AZTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();