Angiodynamics (ANGO) Intangibles (2011 - 2026)
Angiodynamics (ANGO) reported Intangibles of $61.89 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), down 9.5% from $68.38 million a year earlier and down 7.9% from the prior quarter.
Angiodynamics (ANGO) Intangibles (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Angiodynamics posted Intangibles of $67.21 million, down 2.8% from FY2025.
- Intangibles has declined for six consecutive fiscal years, with a five-year compound annual growth rate of -16.8% (FY2021 to FY2026).
- By fiscal year, Intangibles came in at $69.12 million in FY2025 (-10.7%), $77.38 million in FY2024 (-30.4%), $111.14 million in FY2023 (-27.1%) and $152.38 million in FY2022 (-9.8%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Intangibles since fiscal Q3 2012.
- Year over year, Intangibles has now declined in each of the last 24 quarters, with an average decline of 11.5% over the last eight quarters.
- The year-over-year decline in Intangibles has ranged between 2.8% (fiscal Q4 2026) and 39.1% (fiscal Q3 2024) over the last five years.
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $67.21 million (Q4 2026), $65.49 million (Q3 2026) and $66.73 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.93 Bn | 229.96 Bn | 4.88 Bn | 18.61 Bn |
| 2 | Abbott Laboratories | 177.85 Bn | 148.28 Bn | 7.27 Bn | 17.21 Bn |
| 3 | Danaher | 161.87 Bn | 145.68 Bn | 3.61 Bn | 21.36 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.04 Bn | 2.08 Bn | 1.21 Bn |
| 5 | Medtronic | 122.44 Bn | 87.69 Bn | 6.34 Bn | 10.24 Bn |
| 6 | Stryker | 117.44 Bn | 103.56 Bn | 4.50 Bn | 5.74 Bn |
| 7 | Boston Scientific | 66.73 Bn | 61.50 Bn | 3.85 Bn | 6.92 Bn |
| 8 | Becton Dickinson | 54.35 Bn | 51.50 Bn | 2.32 Bn | 448.00 Mn |
| 9 | Edwards Lifesciences | 51.39 Bn | 35.40 Bn | 1.35 Bn | 1.38 Bn |
| 10 | Angiodynamics | 499.64 Mn | 332.36 Mn | 48.04 Mn | 61.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 61.89 Mn |
| May 31, 2026 | 67.21 Mn |
| Feb 28, 2026 | 65.49 Mn |
| Nov 30, 2025 | 66.73 Mn |
| Aug 31, 2025 | 68.38 Mn |
| May 31, 2025 | 69.12 Mn |
| Feb 28, 2025 | 70.93 Mn |
| Nov 30, 2024 | 73.11 Mn |
| Aug 31, 2024 | 75.77 Mn |
| May 31, 2024 | 77.38 Mn |
| Feb 29, 2024 | 81.57 Mn |
| Nov 30, 2023 | 103.89 Mn |
| Aug 31, 2023 | 106.67 Mn |
| May 31, 2023 | 111.14 Mn |
| Feb 28, 2023 | 134.01 Mn |
| Nov 30, 2022 | 141.94 Mn |
| Aug 31, 2022 | 147.98 Mn |
| May 31, 2022 | 152.38 Mn |
| Feb 28, 2022 | 159.11 Mn |
| Nov 30, 2021 | 165.00 Mn |
Angiodynamics 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=intangibles&ticker=ANGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=intangibles&ticker=ANGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();