Azenta (AZTA) Other Accumulated Expenses (2010 - 2026)
Azenta (AZTA) posted Other Accumulated Expenses of $35.36 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 29.9% from $27.22 million a year earlier but down 2.4% from the prior quarter.
Azenta (AZTA) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Azenta's Other Accumulated Expenses came in at $26.5 million, up 18.7% from FY2024.
- Annual Other Accumulated Expenses has increased for three consecutive fiscal years, with a three-year compound annual growth rate of 17.3% (FY2022 to FY2025).
- In prior fiscal years, Azenta's Other Accumulated Expenses was $22.32 million in FY2024 (+8.4%), $20.6 million in FY2023 (+25.4%) and $16.42 million in FY2022.
- Quarterly Other Accumulated Expenses has run from a low of $16.42 million in fiscal Q4 2022 to a high of $36.89 million in fiscal Q1 2026 over five years.
- On a year-over-year basis, Other Accumulated Expenses has increased in each of the last eight quarters, with growth averaging 24.3% over the last eight quarters.
- The year-over-year growth in Other Accumulated Expenses has ranged between 8.4% (fiscal Q4 2024) and 37.6% (fiscal Q2 2026) over the last five years.
- According to Business Quant data, Other Accumulated Expenses for the three prior fiscal quarters was $36.22 million (Q2 2026), $36.89 million (Q1 2026) and $26.5 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | Azenta | 1.70 Bn | 238.99 Mn | 72.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.36 Mn |
| Mar 31, 2026 | 36.22 Mn |
| Dec 31, 2025 | 36.89 Mn |
| Sep 30, 2025 | 26.50 Mn |
| Jun 30, 2025 | 27.22 Mn |
| Mar 31, 2025 | 26.32 Mn |
| Dec 31, 2024 | 26.83 Mn |
| Sep 30, 2024 | 22.32 Mn |
| Jun 30, 2024 | 20.95 Mn |
| Mar 31, 2024 | 21.77 Mn |
| Dec 31, 2023 | 24.03 Mn |
| Sep 30, 2023 | 20.60 Mn |
| Sep 30, 2022 | 16.42 Mn |
| Sep 30, 2013 | 132,000.00 |
| Jun 30, 2011 | 9.78 Mn |
| Sep 30, 2010 | 11.64 Mn |
Azenta Other 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=other-accumulated-expenses&ticker=AZTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=AZTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();