Azenta (AZTA) Non Operating Interest Expenses (2010 - 2022)
Azenta's Non Operating Interest Expenses was $43,000 in fiscal Q1 2023 (quarter ended Dec 31, 2022), down 90.5% from $455,000 a year earlier and down 91.0% from the prior quarter.
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Analysis
Azenta (AZTA) Non Operating Interest Expenses (2010 - 2022) Analysis & Trends
On a trailing twelve-month basis, Azenta's Non Operating Interest Expenses was $4.18 million through Dec 31, 2022, up 115.8% year-over-year; for FY2022 (ended Sep 30, 2022), it was $4.59 million, up 125.3% from FY2021.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of 62.3% (FY2017 to FY2022).
- In earlier fiscal years, Non Operating Interest Expenses was $2.04 million in FY2021 (-30.8%), $2.94 million in FY2020 (-86.8%), $22.25 million in FY2019 (+133.7%) and $9.52 million in FY2018.
- The fiscal Q1 2023 figure marks the lowest quarterly Non Operating Interest Expenses since fiscal Q3 2016.
- Compared with a year earlier, Non Operating Interest Expenses was higher in two of the last eight quarters, with growth averaging 45.7%.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was fiscal Q3 2022 (growth of 340.5%); the worst was fiscal Q2 2020 (a decline of 91.0%).
- Per Business Quant data, AZTA's Non Operating Interest Expenses in the three fiscal quarters before Q1 2023 was $478,000 (Q4 2022), $2.1 million (Q3 2022) and $1.56 million (Q2 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Azenta | 1.53 Bn | 70.06 Mn | 72.36 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 43,000.00 |
| Sep 30, 2022 | 478,000.00 |
| Jun 30, 2022 | 2.10 Mn |
| Mar 31, 2022 | 1.56 Mn |
| Dec 31, 2021 | 455,000.00 |
| Sep 30, 2021 | 552,000.00 |
| Jun 30, 2021 | 477,000.00 |
| Mar 31, 2021 | 452,000.00 |
| Dec 31, 2020 | 557,000.00 |
| Sep 30, 2020 | 679,000.00 |
| Jun 30, 2020 | 810,000.00 |
| Mar 31, 2020 | 718,000.00 |
| Dec 31, 2019 | 737,000.00 |
| Sep 30, 2019 | 902,000.00 |
| Jun 30, 2019 | 8.04 Mn |
| Mar 31, 2019 | 8.02 Mn |
| Dec 31, 2018 | 5.29 Mn |
| Sep 30, 2018 | 2.68 Mn |
| Jun 30, 2018 | 2.47 Mn |
| Mar 31, 2018 | 2.20 Mn |
API Access
Azenta Non Operating Interest 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=non-operating-interest-expenses&ticker=AZTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=AZTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();