Angiodynamics (ANGO) Restructuring Costs (2012 - 2026)
Angiodynamics (ANGO) reported Restructuring Costs of $4.68 million for fiscal Q4 2026 (quarter ended May 31, 2026), up 117.3% from $2.16 million a year earlier but down 28.2% from the prior quarter.
Angiodynamics (ANGO) Restructuring Costs (2012 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Angiodynamics posted Restructuring Costs of $17.6 million, up 12.7% from FY2025.
- Restructuring Costs has a five-year compound annual growth rate of -2.8% (FY2021 to FY2026).
- By fiscal year, Restructuring Costs came in at $15.62 million in FY2025 (-70.6%), $53.18 million in FY2024 (+240.2%), $15.63 million in FY2023 (+72.9%) and $9.04 million in FY2022 (-55.3%).
- Five-year quarterly Restructuring Costs spans a low of $1.99 million in fiscal Q4 2022 and a high of $35.37 million in fiscal Q3 2024.
- Year over year, Restructuring Costs gained in three of the last eight quarters, with growth averaging 0.7%.
- The high point for year-over-year Restructuring Costs in five years was fiscal Q3 2024 (growth of 949.8%); the low point was fiscal Q3 2025 (a decline of 90.7%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $6.52 million (Q3 2026), $3.64 million (Q2 2026) and $2.76 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn |
| 10 | Angiodynamics | 650.53 Mn | 478.45 Mn | 46.77 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 4.68 Mn |
| Feb 28, 2026 | 6.52 Mn |
| Nov 30, 2025 | 3.64 Mn |
| Aug 31, 2025 | 2.76 Mn |
| May 31, 2025 | 2.16 Mn |
| Feb 28, 2025 | 3.29 Mn |
| Nov 30, 2024 | 5.87 Mn |
| Aug 31, 2024 | 4.31 Mn |
| May 31, 2024 | 8.42 Mn |
| Feb 29, 2024 | 35.37 Mn |
| Nov 30, 2023 | 6.19 Mn |
| Aug 31, 2023 | 3.21 Mn |
| May 31, 2023 | 3.62 Mn |
| Feb 28, 2023 | 3.37 Mn |
| Nov 30, 2022 | 3.06 Mn |
| Aug 31, 2022 | 5.58 Mn |
| May 31, 2022 | 1.99 Mn |
| Feb 28, 2022 | 2.36 Mn |
| Nov 30, 2021 | 2.25 Mn |
| Aug 31, 2021 | 2.44 Mn |
Angiodynamics Restructuring Costs 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=restructuring-costs&ticker=ANGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=ANGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();