Angiodynamics (ANGO) Capital Expenditures (2009 - 2026)
Angiodynamics (ANGO) posted Capital Expenditures of $2.77 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 237.7% from $820,000 a year earlier.
Angiodynamics (ANGO) Capital Expenditures (2009 - 2026) Analysis & Trends
For the trailing twelve months through Aug 31, 2026, Capital Expenditures at Angiodynamics was $4.53 million, up 14.1% year-over-year; for FY2026 (ended May 31, 2026), it was $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 Q1 2027 figure stands as the highest quarterly Capital Expenditures since fiscal Q1 2022.
- On a year-over-year basis, Capital Expenditures increased in three of the last seven quarters, with growth averaging 8.3%.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was fiscal Q1 2027, with growth of 237.7%; 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 $70,000 (Q4 2026), $492,000 (Q3 2026) and $1.2 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 437.00 Mn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 513.00 Mn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 255.00 Mn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 113.10 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 503.00 Mn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 237.00 Mn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 180.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 63.60 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 141.00 Mn |
| 10 | Angiodynamics | 20.48 Mn | -146.80 Mn | 48.04 Mn | 3.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 3.15 Mn |
| May 31, 2026 | -2.10 Mn |
| Feb 28, 2026 | 1.51 Mn |
| Nov 30, 2025 | 1.62 Mn |
| Aug 31, 2025 | 1.55 Mn |
| May 31, 2025 | -3.09 Mn |
| Feb 28, 2025 | 3.19 Mn |
| Nov 30, 2024 | 1.96 Mn |
| Aug 31, 2024 | 2.41 Mn |
| May 31, 2024 | -2.68 Mn |
| Feb 29, 2024 | 1.85 Mn |
| Nov 30, 2023 | 1.79 Mn |
| Aug 31, 2023 | 1.56 Mn |
| May 31, 2023 | -3.87 Mn |
| Feb 28, 2023 | 2.15 Mn |
| Nov 30, 2022 | 2.50 Mn |
| Aug 31, 2022 | 3.04 Mn |
| May 31, 2022 | -7.64 Mn |
| Feb 28, 2022 | 2.59 Mn |
| Nov 30, 2021 | 3.85 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();