Azenta (AZTA) Operating Margin (2010 - 2026)
Azenta (AZTA) posted Operating Margin of -2.59% for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 1.31 percentage points from -1.29% a year earlier but up 111.91 percentage points from the prior quarter.
Azenta (AZTA) Operating Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Margin at Azenta was -28.56%, down 22.86 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it came in at -4.52%, up 4.42 percentage points from FY2024.
- Annual Operating Margin shows a five-year change of +4.90 percentage points (FY2020 to FY2025).
- In prior fiscal years, Azenta's Operating Margin was -8.94% in FY2024 (+2.16 pp), -11.11% in FY2023 (-6.65 pp), -4.45% in FY2022 (+1.60 pp) and -6.05% in FY2021 (+3.37 pp).
- Quarterly Operating Margin has run from a low of -114.50% in fiscal Q2 2026 to a high of 1.19% in fiscal Q4 2025 over five years.
- On a year-over-year basis, Operating Margin increased in six of the last eight quarters, with an average year-over-year change of -9.90 percentage points.
- The strongest year-over-year quarter for Operating Margin in the past five years was fiscal Q2 2025, with a gain of 5.41 percentage points; the weakest was fiscal Q2 2026, with a drop of 101.81 percentage points.
- According to Business Quant data, Operating Margin for the three prior fiscal quarters was -114.50% (Q2 2026), -4.87% (Q1 2026) and 1.19% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn | 18.65% |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn | 10.44% |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn | 19.00% |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn | 19.44% |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn | 15.86% |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn | 16.12% |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn | 17.44% |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn | 13.31% |
| 10 | Azenta | 1.77 Bn | 314.25 Mn | 72.36 Mn | -2.59% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.59% |
| Mar 31, 2026 | -114.50% |
| Dec 31, 2025 | -4.87% |
| Sep 30, 2025 | 1.19% |
| Jun 30, 2025 | -1.29% |
| Mar 31, 2025 | -12.69% |
| Dec 31, 2024 | -5.90% |
| Sep 30, 2024 | -3.08% |
| Jun 30, 2024 | -4.92% |
| Mar 31, 2024 | -18.10% |
| Dec 31, 2023 | -10.45% |
| Sep 30, 2023 | -8.08% |
| Jun 30, 2023 | -9.54% |
| Mar 31, 2023 | -8.74% |
| Dec 31, 2022 | -15.52% |
| Sep 30, 2022 | -10.63% |
| Jun 30, 2022 | -3.82% |
| Mar 31, 2022 | -3.23% |
| Dec 31, 2021 | -0.23% |
| Sep 30, 2021 | -15.51% |
Azenta Operating Margin 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-margin&ticker=AZTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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-margin&ticker=AZTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();