Angiodynamics (ANGO) Accumulated Expenses (2011 - 2026)
Angiodynamics (ANGO) posted Accumulated Expenses of $28.81 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 4.2% from $27.66 million a year earlier but down 26.0% from the prior quarter.
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Analysis
Angiodynamics (ANGO) Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Angiodynamics' Accumulated Expenses came in at $38.91 million, up 9.5% from FY2025.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 1.9% (FY2021 to FY2026).
- In prior fiscal years, Angiodynamics' Accumulated Expenses was $35.52 million in FY2025 (-13.6%), $41.1 million in FY2024 (+54.4%), $26.62 million in FY2023 (-23.6%) and $34.84 million in FY2022 (-1.7%).
- Quarterly Accumulated Expenses has run from a low of $21.78 million in fiscal Q3 2023 to a high of $41.1 million in fiscal Q4 2024 over five years.
- On a year-over-year basis, Accumulated Expenses increased in four of the last eight quarters, with an average decline of 0.1%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q4 2024, with growth of 54.4%; the weakest was fiscal Q2 2026, with a decline of 25.2%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $38.91 million (Q4 2026), $32.3 million (Q3 2026) and $29.85 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn |
| 10 | Angiodynamics | 499.01 Mn | 331.73 Mn | 48.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 28.81 Mn |
| May 31, 2026 | 38.91 Mn |
| Feb 28, 2026 | 32.30 Mn |
| Nov 30, 2025 | 29.85 Mn |
| Aug 31, 2025 | 27.66 Mn |
| May 31, 2025 | 35.52 Mn |
| Feb 28, 2025 | 36.95 Mn |
| Nov 30, 2024 | 39.92 Mn |
| Aug 31, 2024 | 34.11 Mn |
| May 31, 2024 | 41.10 Mn |
| Feb 29, 2024 | 30.96 Mn |
| Nov 30, 2023 | 29.24 Mn |
| Aug 31, 2023 | 26.08 Mn |
| May 31, 2023 | 26.62 Mn |
| Feb 28, 2023 | 21.78 Mn |
| Nov 30, 2022 | 26.53 Mn |
| Aug 31, 2022 | 25.56 Mn |
| May 31, 2022 | 34.84 Mn |
| Feb 28, 2022 | 25.20 Mn |
| Nov 30, 2021 | 27.72 Mn |
API Access
Angiodynamics Accumulated 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=accumulated-expenses&ticker=ANGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=ANGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();