Angiodynamics (ANGO) EBITDA Margin (2009 - 2026)
Angiodynamics (ANGO) reported EBITDA Margin of -2.23% for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 3.99 percentage points from -6.22% a year earlier and up 3.08 percentage points from the prior quarter.
Angiodynamics (ANGO) EBITDA Margin (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 31, 2026, Angiodynamics' EBITDA Margin came in at -4.32%, down 0.15 percentage points year-over-year; for FY2026 (ended May 31, 2026), it was -5.30%, down 0.46 percentage points from FY2025.
- EBITDA Margin has a five-year change of -2.08 percentage points (FY2021 to FY2026).
- By fiscal year, EBITDA Margin came in at -4.84% in FY2025 (+49.36 pp), -54.20% in FY2024 (-48.21 pp), -5.99% in FY2023 (-6.27 pp) and 0.28% in FY2022 (+3.50 pp).
- Five-year quarterly EBITDA Margin spans a low of -255.88% in fiscal Q3 2024 and a high of 53.02% in fiscal Q1 2024.
- Year over year, EBITDA Margin gained in six of the last eight quarters, with an average year-over-year change of +33.35 percentage points.
- The high point for year-over-year EBITDA Margin in five years was fiscal Q3 2025 (a gain of 250.80 percentage points); the low point was fiscal Q3 2024 (a drop of 254.53 percentage points).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at -5.31% (Q4 2026), -9.39% (Q3 2026) and -0.39% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 25.44% |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 20.09% |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 30.00% |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 25.90% |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 25.55% |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | - |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 23.14% |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 20.05% |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 9.79% |
| 10 | Angiodynamics | 20.48 Mn | -146.80 Mn | 48.04 Mn | -2.23% |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | -2.23% |
| May 31, 2026 | -5.31% |
| Feb 28, 2026 | -9.39% |
| Nov 30, 2025 | -0.39% |
| Aug 31, 2025 | -6.22% |
| May 31, 2025 | 0.06% |
| Feb 28, 2025 | -5.08% |
| Nov 30, 2024 | -5.81% |
| Aug 31, 2024 | -9.35% |
| May 31, 2024 | -10.75% |
| Feb 29, 2024 | -255.88% |
| Nov 30, 2023 | -8.14% |
| Aug 31, 2023 | 53.02% |
| May 31, 2023 | -14.58% |
| Feb 28, 2023 | -1.35% |
| Nov 30, 2022 | -0.35% |
| Aug 31, 2022 | -6.92% |
| May 31, 2022 | 1.46% |
| Feb 28, 2022 | 2.85% |
| Nov 30, 2021 | -1.79% |
Angiodynamics EBITDA Margin 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=ebitda-margin&ticker=ANGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=ANGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();