Azenta (AZTA) Receivables - Net (2010 - 2026)
Azenta (AZTA) posted Receivables - Net of $143.7 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 15.4% from $124.54 million a year earlier and up 9.4% from the prior quarter.
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Analysis
Azenta (AZTA) Receivables - Net (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Azenta's Receivables - Net came in at $142.2 million, down 7.8% from FY2024.
- Annual Receivables - Net has declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- In prior fiscal years, Azenta's Receivables - Net was $154.2 million in FY2024 (-1.5%), $156.54 million in FY2023 (-4.4%), $163.8 million in FY2022 (+36.6%) and $119.9 million in FY2021 (+26.5%).
- The fiscal Q3 2026 figure stands as the highest quarterly Receivables - Net since fiscal Q2 2025.
- On a year-over-year basis, Receivables - Net increased in 1 of the last eight quarters, with an average decline of 5.5%.
- The strongest year-over-year quarter for Receivables - Net in the past five years was fiscal Q1 2023, with growth of 60.3%; the weakest was fiscal Q2 2022, with a decline of 39.0%.
- According to Business Quant data, Receivables - Net for the three prior fiscal quarters was $131.32 million (Q2 2026), $142.3 million (Q1 2026) and $142.2 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn |
| 10 | Azenta | 1.77 Bn | 314.25 Mn | 72.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 143.70 Mn |
| Mar 31, 2026 | 131.32 Mn |
| Dec 31, 2025 | 142.30 Mn |
| Sep 30, 2025 | 142.20 Mn |
| Jun 30, 2025 | 124.54 Mn |
| Mar 31, 2025 | 146.87 Mn |
| Dec 31, 2024 | 152.26 Mn |
| Sep 30, 2024 | 154.20 Mn |
| Jun 30, 2024 | 167.61 Mn |
| Mar 31, 2024 | 154.67 Mn |
| Dec 31, 2023 | 155.93 Mn |
| Sep 30, 2023 | 156.54 Mn |
| Jun 30, 2023 | 163.02 Mn |
| Mar 31, 2023 | 168.00 Mn |
| Dec 31, 2022 | 201.92 Mn |
| Sep 30, 2022 | 163.80 Mn |
| Jun 30, 2022 | 150.30 Mn |
| Mar 31, 2022 | 137.60 Mn |
| Dec 31, 2021 | 126.00 Mn |
| Sep 30, 2021 | 119.90 Mn |
API Access
Azenta Receivables - Net 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=receivables-net&ticker=AZTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=AZTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();