Azenta (AZTA) Intangibles (2010 - 2026)
Azenta (AZTA) recorded Intangibles of $85.69 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 20.8% from $108.14 million a year earlier and down 6.3% from the prior quarter.
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Analysis
Azenta (AZTA) Intangibles (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Azenta reported Intangibles of $101.81 million, down 18.6% from FY2024.
- Annual Intangibles has a five-year compound annual growth rate of -13.7% (FY2020 to FY2025).
- Across earlier fiscal years, Intangibles came in at $125.04 million in FY2024 (-57.5%), $294.3 million in FY2023 (+65.0%), $178.4 million in FY2022 (-4.4%) and $186.53 million in FY2021 (-12.1%).
- The fiscal Q3 2026 figure is the lowest quarterly Intangibles since fiscal Q4 2017.
- On a year-over-year basis, Intangibles has declined for 11 consecutive quarters, with an average decline of 38.4% over the last eight quarters.
- Peak year-over-year performance for Intangibles in the last five years was growth of 94.2% in fiscal Q3 2023, against a decline of 60.1% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $91.43 million (Q2 2026), $96.6 million (Q1 2026) and $101.81 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 18.61 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 17.21 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 21.36 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 1.14 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 10.24 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 5.74 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 6.92 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 1.38 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 448.00 Mn |
| 10 | Azenta | 1.53 Bn | 70.06 Mn | 72.36 Mn | 85.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 85.69 Mn |
| Mar 31, 2026 | 91.43 Mn |
| Dec 31, 2025 | 96.60 Mn |
| Sep 30, 2025 | 101.81 Mn |
| Jun 30, 2025 | 108.14 Mn |
| Mar 31, 2025 | 111.20 Mn |
| Dec 31, 2024 | 115.82 Mn |
| Sep 30, 2024 | 125.04 Mn |
| Jun 30, 2024 | 253.48 Mn |
| Mar 31, 2024 | 267.63 Mn |
| Dec 31, 2023 | 290.23 Mn |
| Sep 30, 2023 | 294.30 Mn |
| Jun 30, 2023 | 312.06 Mn |
| Mar 31, 2023 | 323.93 Mn |
| Dec 31, 2022 | 327.11 Mn |
| Sep 30, 2022 | 178.40 Mn |
| Jun 30, 2022 | 160.69 Mn |
| Mar 31, 2022 | 170.51 Mn |
| Dec 31, 2021 | 178.59 Mn |
| Sep 30, 2021 | 186.53 Mn |
API Access
Azenta Intangibles 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=intangibles&ticker=AZTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=AZTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();