Angiodynamics (ANGO) Restructuring Costs (2010 - 2026)
Angiodynamics (ANGO) reported Restructuring Costs of $2.18 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), down 20.9% from $2.76 million a year earlier and down 53.4% from the prior quarter.
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Analysis
Angiodynamics (ANGO) Restructuring Costs (2010 - 2026) Analysis & Trends
Over the twelve months ended Aug 31, 2026, Angiodynamics' Restructuring Costs came in at $17.02 million, up 21.0% year-over-year; for FY2026 (ended May 31, 2026), it came in at $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%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Restructuring Costs since fiscal Q4 2025.
- Year over year, Restructuring Costs gained in two of the last eight quarters, with an average decline of 6.2%.
- 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 Q1 2027 came in at $4.68 million (Q4 2026), $6.52 million (Q3 2026) and $3.64 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn |
| 10 | Angiodynamics | 20.48 Mn | -146.80 Mn | 48.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 2.18 Mn |
| 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 |
API Access
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_KEYimport 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();