Angiodynamics (ANGO) Inventory (2011 - 2026)
Angiodynamics' Inventory came in at $54.95 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), down 11.7% from $62.26 million a year earlier but up 4.8% from the prior quarter.
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Analysis
Angiodynamics (ANGO) Inventory (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Angiodynamics' Inventory was $52.44 million, down 15.4% from FY2025.
- Inventory carries a five-year compound annual growth rate of 1.5% (FY2021 to FY2026).
- Going back by fiscal year, Inventory was $62.01 million in FY2025 (+2.3%), $60.62 million in FY2024 (+9.6%), $55.33 million in FY2023 (+7.7%) and $51.39 million in FY2022 (+5.7%).
- The five-year range for quarterly Inventory is $48.04 million (fiscal Q3 2022) to $65.92 million (fiscal Q2 2025).
- Year-over-year, Inventory has declined for five consecutive quarters, with an average decline of 3.1% over the last eight quarters.
- The fastest year-over-year change in Inventory over five years came in fiscal Q3 2023 (growth of 32.3%), and the weakest in fiscal Q4 2026 (a decline of 15.4%).
- Business Quant data shows ANGO's Inventory at $52.44 million (Q4 2026), $58.58 million (Q3 2026) and $65.57 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 5.63 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 7.32 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 3.26 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 2.03 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 6.22 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 5.52 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 3.24 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 3.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 1.13 Bn |
| 10 | Angiodynamics | 499.01 Mn | 331.73 Mn | 48.04 Mn | 54.95 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 54.95 Mn |
| May 31, 2026 | 52.44 Mn |
| Feb 28, 2026 | 58.58 Mn |
| Nov 30, 2025 | 65.57 Mn |
| Aug 31, 2025 | 62.26 Mn |
| May 31, 2025 | 62.01 Mn |
| Feb 28, 2025 | 63.11 Mn |
| Nov 30, 2024 | 65.92 Mn |
| Aug 31, 2024 | 64.70 Mn |
| May 31, 2024 | 60.62 Mn |
| Feb 29, 2024 | 58.07 Mn |
| Nov 30, 2023 | 64.25 Mn |
| Aug 31, 2023 | 59.97 Mn |
| May 31, 2023 | 55.33 Mn |
| Feb 28, 2023 | 63.53 Mn |
| Nov 30, 2022 | 63.18 Mn |
| Aug 31, 2022 | 57.61 Mn |
| May 31, 2022 | 51.39 Mn |
| Feb 28, 2022 | 48.04 Mn |
| Nov 30, 2021 | 48.18 Mn |
API Access
Angiodynamics Inventory 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=inventory&ticker=ANGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=ANGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();