Angiodynamics (ANGO) EBIT Margin (2010 - 2026)
Angiodynamics (ANGO) recorded EBIT Margin of -9.02% in fiscal Q1 2027 (quarter ended Aug 31, 2026), up 5.05 percentage points from -14.07% a year earlier and up 2.75 percentage points from the prior quarter.
Angiodynamics (ANGO) EBIT Margin (2010 - 2026) Analysis & Trends
On a TTM basis, Angiodynamics' EBIT Margin came in at -11.24% as of Aug 31, 2026, up 1.23 percentage points year-over-year; for FY2026 (ended May 31, 2026), it came in at -12.47%, up 1.19 percentage points from FY2025.
- Annual EBIT Margin has a five-year change of -0.35 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, EBIT Margin came in at -13.66% in FY2025 (+49.66 pp), -63.32% in FY2024 (-48.21 pp), -15.11% in FY2023 (-6.11 pp) and -9.00% in FY2022 (+3.12 pp).
- Quarterly EBIT Margin has ranged from -265.88% in fiscal Q3 2024 to 44.52% in fiscal Q1 2024 over the past five years.
- On a year-over-year basis, EBIT Margin rose in six of the last eight quarters, with an average year-over-year change of +34.65 percentage points.
- Peak year-over-year performance for EBIT Margin in the last five years was a gain of 252.03 percentage points in fiscal Q3 2025, against a drop of 254.82 percentage points in fiscal Q3 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -11.77% (Q4 2026), -16.51% (Q3 2026) and -7.71% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.49 Bn | 230.52 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 178.34 Bn | 148.77 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 162.07 Bn | 145.88 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 153.97 Bn | 134.26 Bn | 2.08 Bn | 19.44% |
| 5 | Medtronic | 122.55 Bn | 87.80 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 117.25 Bn | 103.37 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 67.26 Bn | 62.03 Bn | 3.85 Bn | 21.65% |
| 8 | Becton Dickinson | 54.50 Bn | 51.65 Bn | 2.32 Bn | 13.31% |
| 9 | Edwards Lifesciences | 51.33 Bn | 35.34 Bn | 1.35 Bn | 29.48% |
| 10 | Angiodynamics | 504.68 Mn | 337.40 Mn | 48.04 Mn | -9.02% |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | -9.02% |
| May 31, 2026 | -11.77% |
| Feb 28, 2026 | -16.51% |
| Nov 30, 2025 | -7.71% |
| Aug 31, 2025 | -14.07% |
| May 31, 2025 | -7.22% |
| Feb 28, 2025 | -13.85% |
| Nov 30, 2024 | -15.23% |
| Aug 31, 2024 | -19.41% |
| May 31, 2024 | -20.36% |
| Feb 29, 2024 | -265.88% |
| Nov 30, 2023 | -16.59% |
| Aug 31, 2023 | 44.52% |
| May 31, 2023 | -22.88% |
| Feb 28, 2023 | -11.06% |
| Nov 30, 2022 | -9.50% |
| Aug 31, 2022 | -16.31% |
| May 31, 2022 | -7.35% |
| Feb 28, 2022 | -7.16% |
| Nov 30, 2021 | -11.09% |
Angiodynamics EBIT 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=ebit-margin&ticker=ANGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit-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=ebit-margin&ticker=ANGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();