Azenta (AZTA) Operating Expenses (2010 - 2026)
Azenta (AZTA) recorded Operating Expenses of $76.53 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 12.1% from $68.25 million a year earlier but down 66.4% from the prior quarter.
Powered by 
Analysis
Azenta (AZTA) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Azenta's Operating Expenses came in at $445.68 million as of Jun 30, 2026, up 48.6% year-over-year; for FY2025 (ended Sep 30, 2025), it was $297.12 million, down 2.9% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 7.3% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Expenses came in at $305.91 million in FY2024 (+1.8%), $300.46 million in FY2023 (+7.2%), $280.32 million in FY2022 (+2.0%) and $274.9 million in FY2021 (+31.7%).
- Quarterly Operating Expenses has ranged from $48.85 million in fiscal Q4 2023 to $227.83 million in fiscal Q2 2026 over the past five years.
- On a year-over-year basis, Operating Expenses rose in four of the last eight quarters, with growth averaging 27.9%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 181.3% in fiscal Q2 2026, against a decline of 32.8% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $227.83 million (Q2 2026), $70.94 million (Q1 2026) and $70.37 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Azenta | 1.53 Bn | 70.06 Mn | 72.36 Mn | 76.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 76.53 Mn |
| Mar 31, 2026 | 227.83 Mn |
| Dec 31, 2025 | 70.94 Mn |
| Sep 30, 2025 | 70.37 Mn |
| Jun 30, 2025 | 68.25 Mn |
| Mar 31, 2025 | 80.98 Mn |
| Dec 31, 2024 | 77.52 Mn |
| Sep 30, 2024 | 73.12 Mn |
| Jun 30, 2024 | 71.70 Mn |
| Mar 31, 2024 | 84.46 Mn |
| Dec 31, 2023 | 76.63 Mn |
| Sep 30, 2023 | 48.85 Mn |
| Jun 30, 2023 | 83.84 Mn |
| Mar 31, 2023 | 66.21 Mn |
| Dec 31, 2022 | 101.55 Mn |
| Sep 30, 2022 | 72.74 Mn |
| Jun 30, 2022 | 64.67 Mn |
| Mar 31, 2022 | 75.53 Mn |
| Dec 31, 2021 | 67.37 Mn |
| Sep 30, 2021 | 87.38 Mn |
API Access
Azenta Operating 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=operating-expenses&ticker=AZTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=AZTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();