Angiodynamics (ANGO) Cost of Revenue (2010 - 2026)
Angiodynamics' Cost of Revenue was $39.83 million in fiscal Q4 2026 (quarter ended May 31, 2026), up 5.0% from $37.94 million a year earlier and up 7.8% from the prior quarter.
Angiodynamics (ANGO) Cost of Revenue (2010 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Cost of Revenue at Angiodynamics came in at $145.28 million, up 7.8% from FY2025.
- Cost of Revenue shows a five-year compound annual growth rate of 1.6% (FY2021 to FY2026).
- In earlier fiscal years, Cost of Revenue was $134.79 million in FY2025 (-9.7%), $149.22 million in FY2024 (-9.3%), $164.51 million in FY2023 (+9.3%) and $150.49 million in FY2022 (+12.1%).
- The fiscal Q4 2026 figure marks the highest quarterly Cost of Revenue since fiscal Q4 2023.
- Compared with a year earlier, Cost of Revenue has increased for five straight quarters, with an average decline of 0.3% over the last eight quarters.
- The best year-over-year quarter for Cost of Revenue over five years was fiscal Q4 2022 (growth of 17.4%); the worst was fiscal Q4 2024 (a decline of 27.4%).
- Per Business Quant data, ANGO's Cost of Revenue in the three fiscal quarters before Q4 2026 was $36.94 million (Q3 2026), $34.65 million (Q2 2026) and $33.85 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 7.11 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.33 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 2.65 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 931.90 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 2.09 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.59 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 392.40 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 2.67 Bn |
| 10 | Angiodynamics | 630.09 Mn | 458.02 Mn | 46.77 Mn | 39.83 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 39.83 Mn |
| Feb 28, 2026 | 36.94 Mn |
| Nov 30, 2025 | 34.65 Mn |
| Aug 31, 2025 | 33.85 Mn |
| May 31, 2025 | 37.94 Mn |
| Feb 28, 2025 | 33.15 Mn |
| Nov 30, 2024 | 32.94 Mn |
| Aug 31, 2024 | 30.77 Mn |
| May 31, 2024 | 32.47 Mn |
| Feb 29, 2024 | 39.32 Mn |
| Nov 30, 2023 | 38.81 Mn |
| Aug 31, 2023 | 38.62 Mn |
| May 31, 2023 | 44.72 Mn |
| Feb 28, 2023 | 40.21 Mn |
| Nov 30, 2022 | 40.35 Mn |
| Aug 31, 2022 | 39.23 Mn |
| May 31, 2022 | 40.54 Mn |
| Feb 28, 2022 | 35.39 Mn |
| Nov 30, 2021 | 37.73 Mn |
| Aug 31, 2021 | 36.83 Mn |
Angiodynamics Cost of Revenue 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=cost-of-revenue&ticker=ANGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=ANGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();