Azenta (AZTA) Total Debt (2017 - 2021)
Azenta (AZTA) reported Total Debt of $49.7 million for fiscal Q1 2022 (quarter ended Dec 31, 2021), down 0.7% from $50.04 million a year earlier but up 0.1% from the prior quarter.
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Analysis
Azenta (AZTA) Total Debt (2017 - 2021) Analysis & Trends
At the end of FY2021 (ended Sep 30, 2021), Azenta posted Total Debt of $49.68 million, down 1.5% from FY2020.
- Total Debt has declined for three consecutive fiscal years, with a three-year compound annual growth rate of -36.7% (FY2018 to FY2021).
- By fiscal year, Total Debt came in at $50.42 million in FY2020 (-1.4%), $51.14 million in FY2019 (-73.9%) and $196.07 million in FY2018.
- Five-year quarterly Total Debt spans a low of $49.65 million in fiscal Q3 2021 and a high of $543.5 million in fiscal Q2 2019.
- Year over year, Total Debt has now declined in each of the last ten quarters, with an average decline of 23.6% over the last eight quarters.
- The high point for year-over-year Total Debt in five years was fiscal Q2 2019 (growth of 176.1%); the low point was fiscal Q3 2020 (a decline of 90.7%).
- Per Business Quant data, the three fiscal quarters before Q1 2022 came in at $49.68 million (Q4 2021), $49.65 million (Q3 2021) and $50.07 million (Q2 2021).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 42.55 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 32.61 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 26.56 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 28.15 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 14.94 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 12.62 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 598.70 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 16.81 Bn |
| 10 | Azenta | 1.53 Bn | 70.06 Mn | 72.36 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | 49.70 Mn |
| Sep 30, 2021 | 49.68 Mn |
| Jun 30, 2021 | 49.65 Mn |
| Mar 31, 2021 | 50.07 Mn |
| Dec 31, 2020 | 50.04 Mn |
| Sep 30, 2020 | 50.42 Mn |
| Jun 30, 2020 | 50.39 Mn |
| Mar 31, 2020 | 50.78 Mn |
| Dec 31, 2019 | 50.75 Mn |
| Sep 30, 2019 | 51.14 Mn |
| Jun 30, 2019 | 541.07 Mn |
| Mar 31, 2019 | 543.50 Mn |
| Dec 31, 2018 | 540.81 Mn |
| Sep 30, 2018 | 196.07 Mn |
| Jun 30, 2018 | 196.47 Mn |
| Mar 31, 2018 | 196.87 Mn |
| Dec 31, 2017 | 197.27 Mn |
API Access
Azenta Total Debt 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=total-debt&ticker=AZTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=AZTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();