Azenta (AZTA) Interest Expenses (2010 - 2022)
Azenta (AZTA) posted Interest Expenses of $43,000 for 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) Interest Expenses (2010 - 2022) Analysis & Trends
For the trailing twelve months through Dec 31, 2022, Interest Expenses at Azenta was $4.18 million, up 115.8% year-over-year; for FY2022 (ended Sep 30, 2022), it was $4.59 million, up 125.3% from FY2021.
- Annual Interest Expenses shows a five-year compound annual growth rate of 62.3% (FY2017 to FY2022).
- In prior fiscal years, Azenta's 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 stands as the lowest quarterly Interest Expenses since fiscal Q3 2016.
- On a year-over-year basis, Interest Expenses increased in two of the last eight quarters, with growth averaging 45.7%.
- The strongest year-over-year quarter for Interest Expenses in the past five years was fiscal Q3 2022, with growth of 340.5%; the weakest was fiscal Q2 2020, with a decline of 91.0%.
- According to Business Quant data, Interest Expenses for the three prior fiscal quarters 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) | Int Expense (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 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=interest-expenses&ticker=AZTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=AZTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();