Azenta (AZTA) Accumulated Expenses (2010 - 2026)
Azenta's Accumulated Expenses was $34.25 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 14.6% from $29.88 million a year earlier but down 25.1% from the prior quarter.
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Analysis
Azenta (AZTA) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Accumulated Expenses at Azenta came in at $30.27 million, down 31.9% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of -6.8% (FY2020 to FY2025).
- In earlier fiscal years, Accumulated Expenses was $44.45 million in FY2024 (-12.3%), $50.7 million in FY2023 (+3.3%), $49.07 million in FY2022 (-52.7%) and $103.84 million in FY2021 (+141.4%).
- Quarterly Accumulated Expenses has moved between $29.88 million (fiscal Q3 2025) and $104.31 million (fiscal Q1 2022) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for three straight quarters, with an average decline of 10.5% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q4 2021 (growth of 141.4%); the worst was fiscal Q4 2022 (a decline of 52.7%).
- Per Business Quant data, AZTA's Accumulated Expenses in the three fiscal quarters before Q3 2026 was $45.74 million (Q2 2026), $44.01 million (Q1 2026) and $30.27 million (Q4 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.25 Mn |
| Mar 31, 2026 | 45.74 Mn |
| Dec 31, 2025 | 44.01 Mn |
| Sep 30, 2025 | 30.27 Mn |
| Jun 30, 2025 | 29.88 Mn |
| Mar 31, 2025 | 43.10 Mn |
| Dec 31, 2024 | 38.97 Mn |
| Sep 30, 2024 | 44.45 Mn |
| Jun 30, 2024 | 46.21 Mn |
| Mar 31, 2024 | 46.35 Mn |
| Dec 31, 2023 | 56.46 Mn |
| Sep 30, 2023 | 50.70 Mn |
| Jun 30, 2023 | 77.75 Mn |
| Mar 31, 2023 | 83.05 Mn |
| Dec 31, 2022 | 86.89 Mn |
| Sep 30, 2022 | 49.07 Mn |
| Jun 30, 2022 | 73.15 Mn |
| Mar 31, 2022 | 76.36 Mn |
| Dec 31, 2021 | 104.31 Mn |
| Sep 30, 2021 | 103.84 Mn |
API Access
Azenta Accumulated Expenses 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=accumulated-expenses&ticker=AZTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=AZTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();