Azenta (AZTA) Selling, General & Administrative (2010 - 2026)
Azenta (AZTA) reported Selling, General & Administrative of $67.17 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 11.8% from $60.08 million a year earlier but down 1.1% from the prior quarter.
Azenta (AZTA) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Azenta's Selling, General & Administrative came in at $257.38 million, down 2.7% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $261.56 million, down 0.5% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 6.6% (FY2020 to FY2025).
- By fiscal year, Selling, General & Administrative came in at $262.96 million in FY2024 (-0.3%), $263.74 million in FY2023 (+4.9%), $251.47 million in FY2022 (-0.3%) and $252.1 million in FY2021 (+32.5%).
- Five-year quarterly Selling, General & Administrative spans a low of $22.38 million in fiscal Q4 2023 and a high of $92.55 million in fiscal Q1 2023.
- Year over year, Selling, General & Administrative gained in four of the last eight quarters, with growth averaging 22.8%.
- The high point for year-over-year Selling, General & Administrative in five years was fiscal Q4 2021 (growth of 606.3%); the low point was fiscal Q4 2023 (a decline of 65.4%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $67.89 million (Q2 2026), $60.61 million (Q1 2026) and $61.71 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 2.33 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 4.03 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 2.07 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 617.90 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 3.20 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 2.23 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.80 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 561.20 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 1.26 Bn |
| 10 | Azenta | 1.70 Bn | 238.99 Mn | 72.36 Mn | 67.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 67.17 Mn |
| Mar 31, 2026 | 67.89 Mn |
| Dec 31, 2025 | 60.61 Mn |
| Sep 30, 2025 | 61.71 Mn |
| Jun 30, 2025 | 60.08 Mn |
| Mar 31, 2025 | 69.80 Mn |
| Dec 31, 2024 | 69.98 Mn |
| Sep 30, 2024 | 64.73 Mn |
| Jun 30, 2024 | 62.41 Mn |
| Mar 31, 2024 | 67.96 Mn |
| Dec 31, 2023 | 67.86 Mn |
| Sep 30, 2023 | 22.38 Mn |
| Jun 30, 2023 | 75.47 Mn |
| Mar 31, 2023 | 73.34 Mn |
| Dec 31, 2022 | 92.55 Mn |
| Sep 30, 2022 | 64.70 Mn |
| Jun 30, 2022 | 58.13 Mn |
| Mar 31, 2022 | 67.92 Mn |
| Dec 31, 2021 | 60.71 Mn |
| Sep 30, 2021 | 80.45 Mn |
Azenta Selling, General & Administrative 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=selling-general-and-administrative&ticker=AZTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=AZTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();