Angiodynamics (ANGO) Inventory (2011 - 2026)
Angiodynamics' Inventory came in at $52.44 million for fiscal Q4 2026 (quarter ended May 31, 2026), down 15.4% from $62.01 million a year earlier and down 10.5% from the prior quarter.
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Analysis
Angiodynamics (ANGO) Inventory (2011 - 2026) Analysis & Trends
Going back to fiscal Q4 2011, Angiodynamics' Inventory data covers 59 quarters.
- 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 fiscal Q4 2026 figure represents the lowest quarterly Inventory since fiscal Q4 2022.
- Year-over-year, Inventory has declined for four consecutive quarters, with an average decline of 0.7% 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 $58.58 million (Q3 2026), $65.57 million (Q2 2026) and $62.26 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 5.63 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 7.32 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 3.26 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.03 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 6.22 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 5.52 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 3.24 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 1.13 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 3.32 Bn |
| 10 | Angiodynamics | 650.53 Mn | 478.45 Mn | 46.77 Mn | 52.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Aug 31, 2021 | 49.31 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();