Azenta (AZTA) Cash & Equivalents (2010 - 2026)
Azenta (AZTA) posted Cash & Equivalents of $189.65 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 29.8% from $270.04 million a year earlier and down 19.0% from the prior quarter.
Azenta (AZTA) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Azenta's Cash & Equivalents came in at $279.78 million, down 0.1% from FY2024.
- Annual Cash & Equivalents has declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 2.2% (FY2020 to FY2025).
- In prior fiscal years, Azenta's Cash & Equivalents was $280.03 million in FY2024 (-56.9%), $649.48 million in FY2023 (-1.3%), $658.27 million in FY2022 (+189.4%) and $227.43 million in FY2021 (-9.3%).
- The fiscal Q3 2026 figure stands as the lowest quarterly Cash & Equivalents since fiscal Q3 2019.
- On a year-over-year basis, Cash & Equivalents has declined in each of the last ten quarters, with an average decline of 24.9% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was fiscal Q2 2022, with growth of 504.9%; the weakest was fiscal Q2 2023, with a decline of 65.5%.
- According to Business Quant data, Cash & Equivalents for the three prior fiscal quarters was $234.03 million (Q2 2026), $336.63 million (Q1 2026) and $279.78 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 2.76 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 2.91 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 708.00 Mn |
| 10 | Azenta | 1.70 Bn | 238.99 Mn | 72.36 Mn | 189.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 189.65 Mn |
| Mar 31, 2026 | 234.03 Mn |
| Dec 31, 2025 | 336.63 Mn |
| Sep 30, 2025 | 279.78 Mn |
| Jun 30, 2025 | 270.04 Mn |
| Mar 31, 2025 | 253.64 Mn |
| Dec 31, 2024 | 377.49 Mn |
| Sep 30, 2024 | 280.03 Mn |
| Jun 30, 2024 | 336.54 Mn |
| Mar 31, 2024 | 353.49 Mn |
| Dec 31, 2023 | 702.92 Mn |
| Sep 30, 2023 | 649.48 Mn |
| Jun 30, 2023 | 733.37 Mn |
| Mar 31, 2023 | 667.37 Mn |
| Dec 31, 2022 | 608.30 Mn |
| Sep 30, 2022 | 658.27 Mn |
| Jun 30, 2022 | 1.47 Bn |
| Mar 31, 2022 | 1.94 Bn |
| Dec 31, 2021 | 215.17 Mn |
| Sep 30, 2021 | 227.43 Mn |
Azenta Cash & Equivalents 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=cash-and-equivalents&ticker=AZTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=AZTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();