Azenta (AZTA) Pension (2010 - 2023)
Azenta (AZTA) posted Pension of $288,000 for fiscal Q3 2023 (quarter ended Jun 30, 2023), down 58.7% from $698,000 a year earlier but up 2.9% from the prior quarter.
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Analysis
Azenta (AZTA) Pension (2010 - 2023) Analysis & Trends
At the end of FY2022 (ended Sep 30, 2022), Azenta's Pension came in at $261,000, down 63.0% from FY2021.
- Annual Pension has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -31.9% (FY2017 to FY2022).
- In prior fiscal years, Azenta's Pension was $705,000 in FY2021 (-21.2%), $895,000 in FY2020 (-83.2%), $5.34 million in FY2019 (+25.5%) and $4.26 million in FY2018 (+138.6%).
- Quarterly Pension has run from a low of $261,000 in fiscal Q4 2022 to a high of $6.74 million in fiscal Q1 2021 over five years.
- On a year-over-year basis, Pension has declined in each of the last eight quarters, with an average decline of 66.6% over the last eight quarters.
- The strongest year-over-year quarter for Pension in the past five years was fiscal Q4 2018, with growth of 138.6%; the weakest was fiscal Q3 2022, with a decline of 89.3%.
- According to Business Quant data, Pension for the three prior fiscal quarters was $280,000 (Q2 2023), $278,000 (Q1 2023) and $261,000 (Q4 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Azenta | 1.53 Bn | 70.06 Mn | 72.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 288,000.00 |
| Mar 31, 2023 | 280,000.00 |
| Dec 31, 2022 | 278,000.00 |
| Sep 30, 2022 | 261,000.00 |
| Jun 30, 2022 | 698,000.00 |
| Mar 31, 2022 | 720,000.00 |
| Dec 31, 2021 | 726,000.00 |
| Sep 30, 2021 | 705,000.00 |
| Jun 30, 2021 | 6.54 Mn |
| Mar 31, 2021 | 6.35 Mn |
| Dec 31, 2020 | 6.74 Mn |
| Sep 30, 2020 | 895,000.00 |
| Jun 30, 2020 | 5.72 Mn |
| Mar 31, 2020 | 5.59 Mn |
| Dec 31, 2019 | 5.40 Mn |
| Sep 30, 2019 | 5.34 Mn |
| Jun 30, 2019 | 4.87 Mn |
| Mar 31, 2019 | 4.72 Mn |
| Dec 31, 2018 | 4.50 Mn |
| Sep 30, 2018 | 4.26 Mn |
API Access
Azenta Pension 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=pension&ticker=AZTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=AZTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();