Azenta (AZTA) Other Non-Current Assets (2010 - 2026)
Azenta's Other Non-Current Assets was $148.08 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 8.9% from $162.5 million a year earlier but up 1.7% from the prior quarter.
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Analysis
Azenta (AZTA) Other Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Other Non-Current Assets at Azenta came in at $158.54 million, down 41.9% from FY2024.
- Other Non-Current Assets shows a five-year compound annual growth rate of -13.2% (FY2020 to FY2025).
- In earlier fiscal years, Other Non-Current Assets was $272.85 million in FY2024 (-49.7%), $542.15 million in FY2023 (+198.7%), $181.48 million in FY2022 (-63.4%) and $495.21 million in FY2021 (+54.0%).
- Quarterly Other Non-Current Assets has moved between $30.01 million (fiscal Q2 2024) and $542.15 million (fiscal Q4 2023) over five years.
- Compared with a year earlier, Other Non-Current Assets was higher in four of the last eight quarters, with growth averaging 66.1%.
- The best year-over-year quarter for Other Non-Current Assets over five years was fiscal Q1 2022 (growth of 613.3%); the worst was fiscal Q1 2023 (a decline of 85.3%).
- Per Business Quant data, AZTA's Other Non-Current Assets in the three fiscal quarters before Q3 2026 was $145.55 million (Q2 2026), $150.49 million (Q1 2026) and $158.54 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 5.62 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 4.39 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 4.32 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 3.23 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 45.22 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 616.40 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 2.55 Bn |
| 10 | Azenta | 1.53 Bn | 70.06 Mn | 72.36 Mn | 148.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 148.08 Mn |
| Mar 31, 2026 | 145.55 Mn |
| Dec 31, 2025 | 150.49 Mn |
| Sep 30, 2025 | 158.54 Mn |
| Jun 30, 2025 | 162.50 Mn |
| Mar 31, 2025 | 133.30 Mn |
| Dec 31, 2024 | 231.18 Mn |
| Sep 30, 2024 | 272.85 Mn |
| Jun 30, 2024 | 77.03 Mn |
| Mar 31, 2024 | 30.01 Mn |
| Dec 31, 2023 | 77.19 Mn |
| Sep 30, 2023 | 542.15 Mn |
| Jun 30, 2023 | 71.94 Mn |
| Mar 31, 2023 | 67.69 Mn |
| Dec 31, 2022 | 74.98 Mn |
| Sep 30, 2022 | 181.48 Mn |
| Jun 30, 2022 | 53.30 Mn |
| Mar 31, 2022 | 65.24 Mn |
| Dec 31, 2021 | 510.70 Mn |
| Sep 30, 2021 | 495.21 Mn |
API Access
Azenta Other Non-Current Assets 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=other-non-current-assets&ticker=AZTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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=other-non-current-assets&ticker=AZTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();