Azenta (AZTA) Prepaid Assets (2010 - 2026)
Azenta (AZTA) reported Prepaid Assets of $53.15 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 28.9% from $74.77 million a year earlier but up 5.8% from the prior quarter.
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Analysis
Azenta (AZTA) Prepaid Assets (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Azenta posted Prepaid Assets of $64.66 million, up 25.9% from FY2024.
- Prepaid Assets has a five-year compound annual growth rate of 8.0% (FY2020 to FY2025).
- By fiscal year, Prepaid Assets came in at $51.36 million in FY2024 (-48.0%), $98.75 million in FY2023 (-25.5%), $132.62 million in FY2022 (+159.8%) and $51.05 million in FY2021 (+16.1%).
- Five-year quarterly Prepaid Assets spans a low of $50.21 million in fiscal Q2 2026 and a high of $160.56 million in fiscal Q3 2022.
- Year over year, Prepaid Assets has now declined in each of the last three quarters, with an average decline of 20.7% over the last eight quarters.
- The high point for year-over-year Prepaid Assets in five years was fiscal Q3 2022 (growth of 174.7%); the low point was fiscal Q3 2023 (a decline of 51.1%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $50.21 million (Q2 2026), $60.55 million (Q1 2026) and $64.66 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 | 53.15 Mn |
| Mar 31, 2026 | 50.21 Mn |
| Dec 31, 2025 | 60.55 Mn |
| Sep 30, 2025 | 64.66 Mn |
| Jun 30, 2025 | 74.77 Mn |
| Mar 31, 2025 | 67.21 Mn |
| Dec 31, 2024 | 71.85 Mn |
| Sep 30, 2024 | 51.36 Mn |
| Jun 30, 2024 | 88.10 Mn |
| Mar 31, 2024 | 87.90 Mn |
| Dec 31, 2023 | 110.76 Mn |
| Sep 30, 2023 | 98.75 Mn |
| Jun 30, 2023 | 78.58 Mn |
| Mar 31, 2023 | 80.73 Mn |
| Dec 31, 2022 | 85.90 Mn |
| Sep 30, 2022 | 132.62 Mn |
| Jun 30, 2022 | 160.56 Mn |
| Mar 31, 2022 | 74.96 Mn |
| Dec 31, 2021 | 60.83 Mn |
| Sep 30, 2021 | 51.05 Mn |
API Access
Azenta Prepaid 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=prepaid-assets&ticker=AZTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-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=prepaid-assets&ticker=AZTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();