Azenta (AZTA) Total Current Liabilities (2010 - 2026)
Azenta's Total Current Liabilities was $272.57 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 10.7% from $246.17 million a year earlier and up 6.0% from the prior quarter.
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Analysis
Azenta (AZTA) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Total Current Liabilities at Azenta came in at $237.67 million, up 15.3% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of 2.4% (FY2020 to FY2025).
- In earlier fiscal years, Total Current Liabilities was $206.09 million in FY2024 (-2.3%), $210.93 million in FY2023 (-8.5%), $230.55 million in FY2022 (-33.2%) and $345.09 million in FY2021 (+63.5%).
- The fiscal Q3 2026 figure marks the highest quarterly Total Current Liabilities since fiscal Q2 2022.
- Compared with a year earlier, Total Current Liabilities has increased for six straight quarters, with growth averaging 11.1% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was fiscal Q2 2022 (growth of 132.6%); the worst was fiscal Q2 2023 (a decline of 65.6%).
- Per Business Quant data, AZTA's Total Current Liabilities in the three fiscal quarters before Q3 2026 was $257.19 million (Q2 2026), $267.21 million (Q1 2026) and $237.67 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn | 14.17 Bn |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn | 16.15 Bn |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn | 9.05 Bn |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn | 2.53 Bn |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn | 6.50 Bn |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn | 5.98 Bn |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn | 1.58 Bn |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn | 9.40 Bn |
| 10 | Azenta | 1.77 Bn | 314.25 Mn | 72.36 Mn | 272.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 272.57 Mn |
| Mar 31, 2026 | 257.19 Mn |
| Dec 31, 2025 | 267.21 Mn |
| Sep 30, 2025 | 237.67 Mn |
| Jun 30, 2025 | 246.17 Mn |
| Mar 31, 2025 | 221.05 Mn |
| Dec 31, 2024 | 202.52 Mn |
| Sep 30, 2024 | 206.09 Mn |
| Jun 30, 2024 | 202.57 Mn |
| Mar 31, 2024 | 203.00 Mn |
| Dec 31, 2023 | 235.62 Mn |
| Sep 30, 2023 | 210.93 Mn |
| Jun 30, 2023 | 203.63 Mn |
| Mar 31, 2023 | 212.64 Mn |
| Dec 31, 2022 | 249.03 Mn |
| Sep 30, 2022 | 230.55 Mn |
| Jun 30, 2022 | 194.93 Mn |
| Mar 31, 2022 | 617.96 Mn |
| Dec 31, 2021 | 341.80 Mn |
| Sep 30, 2021 | 345.09 Mn |
API Access
Azenta Total 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-current-liabilities&ticker=AZTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=AZTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();