Angiodynamics (ANGO) Capital Expenditures (2010 - 2026)
Angiodynamics (ANGO) posted Capital Expenditures of $70,000 for fiscal Q4 2026 (quarter ended May 31, 2026), down 88.3% from $596,000 a year earlier and down 85.8% from the prior quarter.
Angiodynamics (ANGO) Capital Expenditures (2010 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Angiodynamics' Capital Expenditures came in at $2.58 million, down 42.2% from FY2025.
- Annual Capital Expenditures shows a five-year compound annual growth rate of -13.0% (FY2021 to FY2026).
- In prior fiscal years, Angiodynamics' Capital Expenditures was $4.46 million in FY2025 (+77.3%), $2.52 million in FY2024 (-33.9%), $3.81 million in FY2023 (-11.3%) and $4.3 million in FY2022 (-17.2%).
- The fiscal Q4 2026 figure stands as the lowest quarterly Capital Expenditures since fiscal Q4 2024.
- On a year-over-year basis, Capital Expenditures increased in three of the last seven quarters, with an average decline of 16.2%.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was fiscal Q1 2022, with growth of 145.1%; the weakest was fiscal Q4 2026, with a decline of 88.3%.
- According to Business Quant data, Capital Expenditures for the three prior fiscal quarters was $492,000 (Q3 2026), $1.2 million (Q2 2026) and $820,000 (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 450.00 Mn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 497.00 Mn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 269.00 Mn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 112.60 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 503.00 Mn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 202.00 Mn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 195.00 Mn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 66.90 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 143.00 Mn |
| 10 | Angiodynamics | 650.53 Mn | 478.45 Mn | 46.77 Mn | 70,000.00 |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 70,000.00 |
| Feb 28, 2026 | 492,000.00 |
| Nov 30, 2025 | 1.20 Mn |
| Aug 31, 2025 | 820,000.00 |
| May 31, 2025 | 596,000.00 |
| Feb 28, 2025 | 1.39 Mn |
| Nov 30, 2024 | 1.16 Mn |
| Aug 31, 2024 | 1.31 Mn |
| May 31, 2024 | -727,000.00 |
| Feb 29, 2024 | 1.24 Mn |
| Nov 30, 2023 | 1.22 Mn |
| Aug 31, 2023 | 791,000.00 |
| May 31, 2023 | -1.11 Mn |
| Feb 28, 2023 | 1.48 Mn |
| Nov 30, 2022 | 1.22 Mn |
| Aug 31, 2022 | 2.23 Mn |
| May 31, 2022 | -4.38 Mn |
| Feb 28, 2022 | 1.49 Mn |
| Nov 30, 2021 | 2.72 Mn |
| Aug 31, 2021 | 4.47 Mn |
Angiodynamics Capital Expenditures 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=capital-expenditures&ticker=ANGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=ANGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();