Azenta (AZTA) Receivables (2010 - 2026)
Azenta (AZTA) recorded Receivables of $172.7 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 4.9% from $164.64 million a year earlier and up 8.7% from the prior quarter.
Azenta (AZTA) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Azenta reported Receivables of $179.5 million, down 2.0% from FY2024.
- Annual Receivables has a five-year compound annual growth rate of 10.4% (FY2020 to FY2025).
- Across earlier fiscal years, Receivables came in at $183.1 million in FY2024 (+1.3%), $180.74 million in FY2023 (-0.7%), $182 million in FY2022 (+34.6%) and $135.2 million in FY2021 (+23.4%).
- Quarterly Receivables has ranged from $135.2 million in fiscal Q4 2021 to $221.52 million in fiscal Q1 2023 over the past five years.
- On a year-over-year basis, Receivables rose in two of the last eight quarters, with an average decline of 4.1%.
- Peak year-over-year performance for Receivables in the last five years was growth of 53.0% in fiscal Q1 2023, against a decline of 31.7% in fiscal Q2 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $158.82 million (Q2 2026), $178.2 million (Q1 2026) and $179.5 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 11.14 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 8.60 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 3.97 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 1.67 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 3.74 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 3.05 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 955.70 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 2.36 Bn |
| 10 | Azenta | 1.53 Bn | 70.06 Mn | 72.36 Mn | 172.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 172.70 Mn |
| Mar 31, 2026 | 158.82 Mn |
| Dec 31, 2025 | 178.20 Mn |
| Sep 30, 2025 | 179.50 Mn |
| Jun 30, 2025 | 164.64 Mn |
| Mar 31, 2025 | 177.87 Mn |
| Dec 31, 2024 | 186.56 Mn |
| Sep 30, 2024 | 183.10 Mn |
| Jun 30, 2024 | 194.51 Mn |
| Mar 31, 2024 | 187.97 Mn |
| Dec 31, 2023 | 188.23 Mn |
| Sep 30, 2023 | 180.74 Mn |
| Jun 30, 2023 | 183.32 Mn |
| Mar 31, 2023 | 190.70 Mn |
| Dec 31, 2022 | 221.52 Mn |
| Sep 30, 2022 | 182.00 Mn |
| Jun 30, 2022 | 171.10 Mn |
| Mar 31, 2022 | 163.40 Mn |
| Dec 31, 2021 | 144.80 Mn |
| Sep 30, 2021 | 135.20 Mn |
Azenta Receivables 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&ticker=AZTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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&ticker=AZTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();