Angiodynamics (ANGO) Amortization - Intangibles (2010 - 2026)
Angiodynamics (ANGO) posted Amortization - Intangibles of $2.73 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 1.1% from $2.7 million a year earlier and up 1.1% from the prior quarter.
Angiodynamics (ANGO) Amortization - Intangibles (2010 - 2026) Analysis & Trends
For the trailing twelve months through Aug 31, 2026, Amortization - Intangibles at Angiodynamics was $10.77 million, up 2.7% year-over-year; for FY2026 (ended May 31, 2026), it was $10.7 million, up 3.7% from FY2025.
- Annual Amortization - Intangibles shows a five-year compound annual growth rate of -10.0% (FY2021 to FY2026).
- In prior fiscal years, Angiodynamics' Amortization - Intangibles was $10.32 million in FY2025 (-20.9%), $13.05 million in FY2024 (-30.6%), $18.8 million in FY2023 (-3.6%) and $19.5 million in FY2022 (+7.5%).
- The fiscal Q1 2027 figure stands as the highest quarterly Amortization - Intangibles since fiscal Q3 2024.
- On a year-over-year basis, Amortization - Intangibles has increased in each of the last six quarters, with an average decline of 4.1% over the last eight quarters.
- The strongest year-over-year quarter for Amortization - Intangibles in the past five years was fiscal Q3 2022, with growth of 14.0%; the weakest was fiscal Q4 2024, with a decline of 42.1%.
- According to Business Quant data, Amortization - Intangibles for the three prior fiscal quarters was $2.7 million (Q4 2026), $2.7 million (Q3 2026) and $2.64 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.16 Bn | 230.19 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 179.00 Bn | 149.43 Bn | 7.27 Bn |
| 3 | Danaher | 161.58 Bn | 145.39 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 154.33 Bn | 134.62 Bn | 2.08 Bn |
| 5 | Medtronic | 122.98 Bn | 88.23 Bn | 6.34 Bn |
| 6 | Stryker | 117.18 Bn | 103.29 Bn | 4.50 Bn |
| 7 | Boston Scientific | 67.26 Bn | 62.03 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.71 Bn | 51.86 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.73 Bn | 35.73 Bn | 1.35 Bn |
| 10 | Angiodynamics | 506.04 Mn | 338.76 Mn | 48.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 2.73 Mn |
| May 31, 2026 | 2.70 Mn |
| Feb 28, 2026 | 2.70 Mn |
| Nov 30, 2025 | 2.64 Mn |
| Aug 31, 2025 | 2.70 Mn |
| May 31, 2025 | 2.59 Mn |
| Feb 28, 2025 | 2.60 Mn |
| Nov 30, 2024 | 2.60 Mn |
| Aug 31, 2024 | 2.60 Mn |
| May 31, 2024 | 2.55 Mn |
| Feb 29, 2024 | 3.30 Mn |
| Nov 30, 2023 | 3.60 Mn |
| Aug 31, 2023 | 3.63 Mn |
| May 31, 2023 | 4.40 Mn |
| Feb 28, 2023 | 4.74 Mn |
| Nov 30, 2022 | 4.81 Mn |
| Aug 31, 2022 | 4.84 Mn |
| May 31, 2022 | 4.90 Mn |
| Feb 28, 2022 | 4.90 Mn |
| Nov 30, 2021 | 4.90 Mn |
Angiodynamics Amortization - Intangibles 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=amortization-intangibles&ticker=ANGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "ANGO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=amortization-intangibles&ticker=ANGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();