Azenta (AZTA) Total Liabilities (2010 - 2026)
Azenta (AZTA) recorded Total Liabilities of $366.08 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 5.8% from $345.98 million a year earlier and up 4.8% from the prior quarter.
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Analysis
Azenta (AZTA) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Azenta reported Total Liabilities of $332.6 million, up 0.1% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of -0.8% (FY2020 to FY2025).
- Across earlier fiscal years, Total Liabilities came in at $332.42 million in FY2024 (-5.4%), $351.24 million in FY2023 (-0.4%), $352.74 million in FY2022 (-28.6%) and $494.18 million in FY2021 (+43.0%).
- The fiscal Q3 2026 figure is the highest quarterly Total Liabilities since fiscal Q1 2024.
- On a year-over-year basis, Total Liabilities has increased for five consecutive quarters, with growth averaging 0.4% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 74.4% in fiscal Q2 2022, against a decline of 48.9% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $349.21 million (Q2 2026), $359.6 million (Q1 2026) and $332.6 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Azenta | 1.53 Bn | 70.06 Mn | 72.36 Mn | 366.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 366.08 Mn |
| Mar 31, 2026 | 349.21 Mn |
| Dec 31, 2025 | 359.60 Mn |
| Sep 30, 2025 | 332.60 Mn |
| Jun 30, 2025 | 345.98 Mn |
| Mar 31, 2025 | 338.56 Mn |
| Dec 31, 2024 | 322.60 Mn |
| Sep 30, 2024 | 332.42 Mn |
| Jun 30, 2024 | 332.90 Mn |
| Mar 31, 2024 | 340.63 Mn |
| Dec 31, 2023 | 380.65 Mn |
| Sep 30, 2023 | 351.24 Mn |
| Jun 30, 2023 | 345.92 Mn |
| Mar 31, 2023 | 354.59 Mn |
| Dec 31, 2022 | 421.03 Mn |
| Sep 30, 2022 | 352.74 Mn |
| Jun 30, 2022 | 294.93 Mn |
| Mar 31, 2022 | 694.07 Mn |
| Dec 31, 2021 | 487.51 Mn |
| Sep 30, 2021 | 494.18 Mn |
API Access
Azenta Total 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-liabilities&ticker=AZTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=AZTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();