Angiodynamics (ANGO) Operating Expenses (2010 - 2026)
Angiodynamics' Operating Expenses came in at $56.97 million for fiscal Q4 2026 (quarter ended May 31, 2026), up 18.7% from $48.01 million a year earlier and up 4.7% from the prior quarter.
Powered by 
Analysis
Angiodynamics (ANGO) Operating Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Angiodynamics' Operating Expenses was $214.82 million, up 8.7% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of 2.3% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $197.66 million in FY2025 (-50.8%), $401.63 million in FY2024 (+78.2%), $225.43 million in FY2023 (+16.1%) and $194.2 million in FY2022 (+1.1%).
- The fiscal Q4 2026 figure represents the highest quarterly Operating Expenses since fiscal Q3 2024.
- Year-over-year, Operating Expenses increased in three of the last eight quarters, with an average decline of 8.0%.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q3 2024 (growth of 390.4%), and the weakest in fiscal Q3 2025 (a decline of 79.9%).
- Business Quant data shows ANGO's Operating Expenses at $54.43 million (Q3 2026), $50.91 million (Q2 2026) and $52.51 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Angiodynamics | 650.53 Mn | 478.45 Mn | 46.77 Mn | 56.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 56.97 Mn |
| Feb 28, 2026 | 54.43 Mn |
| Nov 30, 2025 | 50.91 Mn |
| Aug 31, 2025 | 52.51 Mn |
| May 31, 2025 | 48.01 Mn |
| Feb 28, 2025 | 48.83 Mn |
| Nov 30, 2024 | 51.00 Mn |
| Aug 31, 2024 | 49.82 Mn |
| May 31, 2024 | 52.96 Mn |
| Feb 29, 2024 | 242.41 Mn |
| Nov 30, 2023 | 53.38 Mn |
| Aug 31, 2023 | 52.87 Mn |
| May 31, 2023 | 67.20 Mn |
| Feb 28, 2023 | 49.43 Mn |
| Nov 30, 2022 | 53.19 Mn |
| Aug 31, 2022 | 55.61 Mn |
| May 31, 2022 | 52.85 Mn |
| Feb 28, 2022 | 43.88 Mn |
| Nov 30, 2021 | 49.23 Mn |
| Aug 31, 2021 | 48.24 Mn |
API Access
Angiodynamics Operating Expenses 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=operating-expenses&ticker=ANGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ANGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();