Azenta (AZTA) Long-Term Debt Repayments (2014 - 2026)
Azenta (AZTA) posted Long-Term Debt Repayments of $172,000 for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 34.4% from $128,000 a year earlier but down 12.7% from the prior quarter.
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Analysis
Azenta (AZTA) Long-Term Debt Repayments (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at Azenta was $983,000, up 25.4% year-over-year; for FY2025 (ended Sep 30, 2025), it was $985,000, up 25.8% from FY2024.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of 3.5% (FY2020 to FY2025).
- In prior fiscal years, Azenta's Long-Term Debt Repayments was $783,000 in FY2024 (+35.5%), $578,000 in FY2023 (-98.8%), $49.73 million in FY2022 and $828,000 in FY2021 (unchanged).
- Quarterly Long-Term Debt Repayments has run from a low of $128,000 in fiscal Q3 2025 to a high of $49.54 million in fiscal Q2 2022 over five years.
- On a year-over-year basis, Long-Term Debt Repayments increased in four of the last eight quarters, with growth averaging 8.6%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was fiscal Q4 2025, with growth of 101.0%; the weakest was fiscal Q1 2022, with a decline of 55.1%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior fiscal quarters was $197,000 (Q2 2026), $214,000 (Q1 2026) and $400,000 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn | 1.11 Bn |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn | 1.33 Bn |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn | - |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn | - |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn | - |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn | - |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn | - |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn | 2.00 Bn |
| 10 | Azenta | 1.77 Bn | 314.25 Mn | 72.36 Mn | 172,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 172,000.00 |
| Mar 31, 2026 | 197,000.00 |
| Dec 31, 2025 | 214,000.00 |
| Sep 30, 2025 | 400,000.00 |
| Jun 30, 2025 | 128,000.00 |
| Mar 31, 2025 | 242,000.00 |
| Dec 31, 2024 | 215,000.00 |
| Sep 30, 2024 | 199,000.00 |
| Jun 30, 2024 | 198,000.00 |
| Mar 31, 2024 | 188,000.00 |
| Dec 31, 2023 | 198,000.00 |
| Sep 30, 2023 | 397,000.00 |
| Jun 30, 2023 | -49,000.00 |
| Mar 31, 2023 | 139,000.00 |
| Dec 31, 2022 | 91,000.00 |
| Sep 30, 2022 | 33,000.00 |
| Jun 30, 2022 | 355,000.00 |
| Mar 31, 2022 | 49.54 Mn |
| Dec 31, 2021 | 186,000.00 |
| Sep 30, 2021 | 249,000.00 |
API Access
Azenta Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=AZTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=AZTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();