Azenta (AZTA) Change in Accured Expenses (2010 - 2026)
Azenta (AZTA) recorded Change in Accured Expenses of $2.43 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 56.3% from $5.56 million a year earlier.
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Analysis
Azenta (AZTA) Change in Accured Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Azenta's Change in Accured Expenses came in at $7,000 as of Jun 30, 2026, down 99.8% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $7.43 million.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of -7.7% (FY2020 to FY2025).
- Across earlier fiscal years, Change in Accured Expenses came in at -$2.75 million in FY2024, -$19.06 million in FY2023, $11.4 million in FY2022 (+56.3%) and $7.3 million in FY2021 (-34.2%).
- Quarterly Change in Accured Expenses has ranged from -$14.33 million in fiscal Q4 2021 to $16.25 million in fiscal Q2 2022 over the past five years.
- Per Business Quant, the preceding three fiscal quarters came in at -$1.09 million (Q2 2026), -$5.16 million (Q1 2026) and $3.82 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | - |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | -249.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 55.00 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 298.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 234.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 123.70 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | - |
| 10 | Azenta | 1.70 Bn | 238.99 Mn | 72.36 Mn | 2.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.43 Mn |
| Mar 31, 2026 | -1.09 Mn |
| Dec 31, 2025 | -5.16 Mn |
| Sep 30, 2025 | 3.82 Mn |
| Jun 30, 2025 | 5.56 Mn |
| Mar 31, 2025 | -1.32 Mn |
| Dec 31, 2024 | -637,000.00 |
| Sep 30, 2024 | 71,000.00 |
| Jun 30, 2024 | 5.01 Mn |
| Mar 31, 2024 | -6.85 Mn |
| Dec 31, 2023 | -979,000.00 |
| Sep 30, 2023 | -1.37 Mn |
| Jun 30, 2023 | 5.97 Mn |
| Mar 31, 2023 | -9.63 Mn |
| Dec 31, 2022 | -14.02 Mn |
| Sep 30, 2022 | -2.43 Mn |
| Jun 30, 2022 | 2.96 Mn |
| Mar 31, 2022 | 16.25 Mn |
| Dec 31, 2021 | -5.37 Mn |
| Sep 30, 2021 | -14.33 Mn |
API Access
Azenta Change in Accured Expenses 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-accured-expenses&ticker=AZTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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-accured-expenses&ticker=AZTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();