Azenta (AZTA) Non-Current Debt (2017 - 2021)
Azenta (AZTA) recorded Non-Current Debt of $49.7 million in fiscal Q1 2022 (quarter ended Dec 31, 2021), up 0.1% from $49.63 million a year earlier and up 0.1% from the prior quarter.
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Analysis
Azenta (AZTA) Non-Current Debt (2017 - 2021) Analysis & Trends
At the end of FY2021 (ended Sep 30, 2021), Azenta reported Non-Current Debt of $49.68 million, up 0.2% from FY2020.
- Annual Non-Current Debt has a three-year compound annual growth rate of -36.5% (FY2018 to FY2021).
- Across earlier fiscal years, Non-Current Debt came in at $49.59 million in FY2020 (-1.4%), $50.32 million in FY2019 (-74.1%) and $194.07 million in FY2018.
- The fiscal Q1 2022 figure is the highest quarterly Non-Current Debt since fiscal Q2 2020.
- On a year-over-year basis, Non-Current Debt has increased for three consecutive quarters, with an average decline of 22.9% over the last eight quarters.
- Peak year-over-year performance for Non-Current Debt in the last five years was growth of 175.0% in fiscal Q3 2019, against a decline of 90.7% in fiscal Q3 2020 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $49.68 million (Q4 2021), $49.65 million (Q3 2021) and $49.65 million (Q2 2021).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 39.18 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 29.60 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 25.15 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 25.62 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 14.19 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 10.92 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 | 13.51 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 | 49.65 Mn |
| Dec 31, 2020 | 49.63 Mn |
| Sep 30, 2020 | 49.59 Mn |
| Jun 30, 2020 | 49.56 Mn |
| Mar 31, 2020 | 49.95 Mn |
| Dec 31, 2019 | 49.92 Mn |
| Sep 30, 2019 | 50.32 Mn |
| Jun 30, 2019 | 534.75 Mn |
| Mar 31, 2019 | 535.38 Mn |
| Dec 31, 2018 | 531.28 Mn |
| Sep 30, 2018 | 194.07 Mn |
| Jun 30, 2018 | 194.47 Mn |
| Mar 31, 2018 | 194.87 Mn |
| Dec 31, 2017 | 195.28 Mn |
API Access
Azenta Non-Current 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=non-current-debt&ticker=AZTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-debt&ticker=AZTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();