Azenta (AZTA) Change in Inventory (2010 - 2026)
Azenta's Change in Inventory was $2.8 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 33.6% from $4.22 million a year earlier.
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Analysis
Azenta (AZTA) Change in Inventory (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Azenta's Change in Inventory was $2.17 million through Jun 30, 2026, down 72.0% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $2.67 million.
- Change in Inventory shows a five-year compound annual growth rate of -27.3% (FY2020 to FY2025).
- In earlier fiscal years, Change in Inventory was -$15.9 million in FY2024, -$8.25 million in FY2023, $66.63 million in FY2022 (+32.1%) and $50.44 million in FY2021 (+283.8%).
- Quarterly Change in Inventory has moved between -$12.36 million (fiscal Q4 2023) and $32.15 million (fiscal Q1 2022) over five years.
- The best year-over-year quarter for Change in Inventory over five years was fiscal Q1 2022 (growth of 409.8%); the worst was fiscal Q1 2023 (a decline of 81.6%).
- Per Business Quant data, AZTA's Change in Inventory in the three fiscal quarters before Q3 2026 was -$3.03 million (Q2 2026), $9.73 million (Q1 2026) and -$7.33 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (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 | 301.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 46.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 248.00 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 240.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 113.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 133.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 23.50 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | - |
| 10 | Azenta | 1.53 Bn | 70.06 Mn | 72.36 Mn | 2.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.80 Mn |
| Mar 31, 2026 | -3.03 Mn |
| Dec 31, 2025 | 9.73 Mn |
| Sep 30, 2025 | -7.33 Mn |
| Jun 30, 2025 | 4.22 Mn |
| Mar 31, 2025 | -1.84 Mn |
| Dec 31, 2024 | 7.62 Mn |
| Sep 30, 2024 | -2.23 Mn |
| Jun 30, 2024 | -5.87 Mn |
| Mar 31, 2024 | -3.31 Mn |
| Dec 31, 2023 | -4.49 Mn |
| Sep 30, 2023 | -12.36 Mn |
| Jun 30, 2023 | -7.40 Mn |
| Mar 31, 2023 | 5.58 Mn |
| Dec 31, 2022 | 5.92 Mn |
| Sep 30, 2022 | 5.28 Mn |
| Jun 30, 2022 | 6.31 Mn |
| Mar 31, 2022 | 22.88 Mn |
| Dec 31, 2021 | 32.15 Mn |
| Sep 30, 2021 | 17.91 Mn |
API Access
Azenta Change in Inventory 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=change-in-inventory&ticker=AZTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=AZTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();