Azenta (AZTA) EBITDA (2010 - 2026)
Azenta's EBITDA came in at $9.4 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 27.0% from $12.87 million a year earlier.
Azenta (AZTA) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Azenta reported EBITDA of -$119.64 million; for FY2025 (ended Sep 30, 2025), it was $34.37 million, down 12.9% from FY2024.
- EBITDA carries a five-year compound annual growth rate of 3.5% (FY2020 to FY2025).
- Going back by fiscal year, EBITDA was $39.46 million in FY2024 (+62.1%), $24.34 million in FY2023 (-16.0%), $28.97 million in FY2022 (-15.4%) and $34.24 million in FY2021 (+18.5%).
- The five-year range for quarterly EBITDA is -$151.79 million (fiscal Q2 2026) to $19.21 million (fiscal Q4 2024).
- Year-over-year, EBITDA increased in two of the last six quarters, with an average decline of 7.7%.
- The fastest year-over-year change in EBITDA over five years came in fiscal Q3 2024 (growth of 185.0%), and the weakest in fiscal Q3 2022 (a decline of 52.4%).
- Business Quant data shows AZTA's EBITDA at -$151.79 million (Q2 2026), $6.41 million (Q1 2026) and $16.34 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 1.19 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 555.90 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 1.23 Bn |
| 10 | Azenta | 1.53 Bn | 70.06 Mn | 72.36 Mn | 9.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.40 Mn |
| Mar 31, 2026 | -151.79 Mn |
| Dec 31, 2025 | 6.41 Mn |
| Sep 30, 2025 | 16.34 Mn |
| Jun 30, 2025 | 12.87 Mn |
| Mar 31, 2025 | -4.24 Mn |
| Dec 31, 2024 | 9.40 Mn |
| Sep 30, 2024 | 19.21 Mn |
| Jun 30, 2024 | 15.58 Mn |
| Mar 31, 2024 | -2.33 Mn |
| Dec 31, 2023 | 7.01 Mn |
| Sep 30, 2023 | 17.39 Mn |
| Jun 30, 2023 | 5.47 Mn |
| Mar 31, 2023 | 8.98 Mn |
| Dec 31, 2022 | -7.50 Mn |
| Sep 30, 2022 | 260,000.00 |
| Jun 30, 2022 | 7.74 Mn |
| Mar 31, 2022 | 8.41 Mn |
| Dec 31, 2021 | 12.56 Mn |
| Sep 30, 2021 | -4.59 Mn |
Azenta EBITDA 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=ebitda&ticker=AZTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=AZTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();