Azenta (AZTA) Retained Earnings (2010 - 2026)
Azenta's Retained Earnings was $1.25 billion in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 9.0% from $1.37 billion a year earlier but up 0.2% from the prior quarter.
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Analysis
Azenta (AZTA) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Retained Earnings at Azenta came in at $1.42 billion, down 3.8% from FY2024.
- Retained Earnings has now declined for three consecutive fiscal years.
- In earlier fiscal years, Retained Earnings was $1.48 billion in FY2024 (-10.1%), $1.64 billion in FY2023 (-0.9%), $1.66 billion in FY2022 and -$470.05 million in FY2021.
- Quarterly Retained Earnings has moved between -$470.05 million (fiscal Q4 2021) and $1.69 billion (fiscal Q2 2022) over five years.
- Compared with a year earlier, Retained Earnings has declined for 14 straight quarters, with an average decline of 7.7% over the last eight quarters.
- The year-over-year decline in Retained Earnings has ranged between 0.9% (fiscal Q4 2023) and 12.2% (fiscal Q2 2026) over the last five years.
- Per Business Quant data, AZTA's Retained Earnings in the three fiscal quarters before Q3 2026 was $1.24 billion (Q2 2026), $1.4 billion (Q1 2026) and $1.42 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 62.19 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 49.79 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 48.23 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 6.84 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 33.19 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 21.82 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 7.82 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 14.86 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 17.51 Bn |
| 10 | Azenta | 1.53 Bn | 70.06 Mn | 72.36 Mn | 1.25 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.25 Bn |
| Mar 31, 2026 | 1.24 Bn |
| Dec 31, 2025 | 1.40 Bn |
| Sep 30, 2025 | 1.42 Bn |
| Jun 30, 2025 | 1.37 Bn |
| Mar 31, 2025 | 1.42 Bn |
| Dec 31, 2024 | 1.46 Bn |
| Sep 30, 2024 | 1.48 Bn |
| Jun 30, 2024 | 1.48 Bn |
| Mar 31, 2024 | 1.49 Bn |
| Dec 31, 2023 | 1.63 Bn |
| Sep 30, 2023 | 1.64 Bn |
| Jun 30, 2023 | 1.64 Bn |
| Mar 31, 2023 | 1.64 Bn |
| Dec 31, 2022 | 1.64 Bn |
| Sep 30, 2022 | 1.66 Bn |
| Jun 30, 2022 | 1.68 Bn |
| Mar 31, 2022 | 1.69 Bn |
| Dec 31, 2021 | -434.23 Mn |
| Sep 30, 2021 | -470.05 Mn |
API Access
Azenta Retained Earnings 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=retained-earnings&ticker=AZTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=AZTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();