Azenta (AZTA) Operating Leases (2019 - 2026)
Azenta (AZTA) reported Operating Leases of $53.97 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 2.5% from $52.63 million a year earlier but down 3.1% from the prior quarter.
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Analysis
Azenta (AZTA) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Azenta posted Operating Leases of $51.24 million, down 9.6% from FY2024.
- Operating Leases has a five-year compound annual growth rate of 22.1% (FY2020 to FY2025).
- By fiscal year, Operating Leases came in at $56.68 million in FY2024 (-6.2%), $60.44 million in FY2023 (+22.8%), $49.23 million in FY2022 (+9.2%) and $45.09 million in FY2021 (+138.5%).
- Five-year quarterly Operating Leases spans a low of $43.8 million in fiscal Q1 2022 and a high of $66.48 million in fiscal Q1 2024.
- Year over year, Operating Leases has now increased in each of the last three quarters, with an average decline of 7.0% over the last eight quarters.
- The high point for year-over-year Operating Leases in five years was fiscal Q4 2021 (growth of 138.5%); the low point was fiscal Q1 2025 (a decline of 18.3%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $55.71 million (Q2 2026), $54.46 million (Q1 2026) and $51.24 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Azenta | 1.53 Bn | 70.06 Mn | 72.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.97 Mn |
| Mar 31, 2026 | 55.71 Mn |
| Dec 31, 2025 | 54.46 Mn |
| Sep 30, 2025 | 51.24 Mn |
| Jun 30, 2025 | 52.63 Mn |
| Mar 31, 2025 | 53.70 Mn |
| Dec 31, 2024 | 54.34 Mn |
| Sep 30, 2024 | 56.68 Mn |
| Jun 30, 2024 | 60.65 Mn |
| Mar 31, 2024 | 63.37 Mn |
| Dec 31, 2023 | 66.48 Mn |
| Sep 30, 2023 | 60.44 Mn |
| Jun 30, 2023 | 61.80 Mn |
| Mar 31, 2023 | 57.14 Mn |
| Dec 31, 2022 | 52.49 Mn |
| Sep 30, 2022 | 49.23 Mn |
| Jun 30, 2022 | 46.72 Mn |
| Mar 31, 2022 | 48.70 Mn |
| Dec 31, 2021 | 43.80 Mn |
| Sep 30, 2021 | 45.09 Mn |
API Access
Azenta Operating Leases 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-leases&ticker=AZTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=AZTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();