Angiodynamics (ANGO) Operating Expenses (2010 - 2026)
Angiodynamics' Operating Expenses came in at $55.34 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 5.4% from $52.51 million a year earlier but down 2.9% from the prior quarter.
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Analysis
Angiodynamics (ANGO) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 31, 2026, Angiodynamics reported Operating Expenses of $217.65 million, up 8.6% year-over-year; for FY2026 (ended May 31, 2026), it 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 five-year range for quarterly Operating Expenses is $43.88 million (fiscal Q3 2022) to $242.41 million (fiscal Q3 2024).
- Year-over-year, Operating Expenses has increased for three consecutive quarters, with an average decline of 6.6% over the last eight quarters.
- 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 $56.97 million (Q4 2026), $54.43 million (Q3 2026) and $50.91 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Angiodynamics | 499.01 Mn | 331.73 Mn | 48.04 Mn | 55.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 55.34 Mn |
| 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 |
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();