Azenta (AZTA) Total Non-Current Liabilities (2010 - 2026)
Azenta (AZTA) reported Total Non-Current Liabilities of $355.36 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 5.6% from $336.64 million a year earlier and up 5.0% from the prior quarter.
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Analysis
Azenta (AZTA) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Azenta posted Total Non-Current Liabilities of $321.45 million, down 0.5% from FY2024.
- Total Non-Current Liabilities has declined for four consecutive fiscal years, with a five-year compound annual growth rate of -0.4% (FY2020 to FY2025).
- By fiscal year, Total Non-Current Liabilities came in at $323.15 million in FY2024 (-4.7%), $339.06 million in FY2023 (-2.0%), $346.01 million in FY2022 (-29.1%) and $488.01 million in FY2021 (+49.2%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Total Non-Current Liabilities since fiscal Q1 2024.
- Year over year, Total Non-Current Liabilities has now increased in each of the last three quarters, with growth averaging 0.5% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was fiscal Q2 2022 (growth of 81.5%); the low point was fiscal Q2 2023 (a decline of 48.6%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $338.32 million (Q2 2026), $348.13 million (Q1 2026) and $321.45 million (Q4 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 | Azenta | 1.53 Bn | 70.06 Mn | 72.36 Mn | 355.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 355.36 Mn |
| Mar 31, 2026 | 338.32 Mn |
| Dec 31, 2025 | 348.13 Mn |
| Sep 30, 2025 | 321.45 Mn |
| Jun 30, 2025 | 336.64 Mn |
| Mar 31, 2025 | 328.50 Mn |
| Dec 31, 2024 | 314.37 Mn |
| Sep 30, 2024 | 323.15 Mn |
| Jun 30, 2024 | 321.31 Mn |
| Mar 31, 2024 | 329.02 Mn |
| Dec 31, 2023 | 368.33 Mn |
| Sep 30, 2023 | 339.06 Mn |
| Jun 30, 2023 | 333.15 Mn |
| Mar 31, 2023 | 353.19 Mn |
| Dec 31, 2022 | 402.53 Mn |
| Sep 30, 2022 | 346.01 Mn |
| Jun 30, 2022 | 288.31 Mn |
| Mar 31, 2022 | 686.91 Mn |
| Dec 31, 2021 | 483.14 Mn |
| Sep 30, 2021 | 488.01 Mn |
API Access
Azenta 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=AZTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=AZTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();