Angiodynamics (ANGO) Operating Margin (2010 - 2026)
Angiodynamics (ANGO) reported Operating Margin of -9.02% for 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) Operating Margin (2010 - 2026) Analysis & Trends
Over the twelve months ended Aug 31, 2026, Angiodynamics' Operating Margin came in at -11.24%, 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.
- Operating Margin has a five-year change of -0.35 percentage points (FY2021 to FY2026).
- By fiscal year, Operating 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).
- Five-year quarterly Operating Margin spans a low of -265.88% in fiscal Q3 2024 and a high of 44.52% in fiscal Q1 2024.
- Year over year, Operating Margin gained in six of the last eight quarters, with an average year-over-year change of +34.65 percentage points.
- The high point for year-over-year Operating Margin in five years was fiscal Q3 2025 (a gain of 252.03 percentage points); the low point was fiscal Q3 2024 (a drop of 254.82 percentage points).
- Per Business Quant data, the three fiscal quarters before Q1 2027 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) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.68 Bn | 229.71 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 177.86 Bn | 148.29 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 161.61 Bn | 145.42 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 154.33 Bn | 134.62 Bn | 2.08 Bn | 19.44% |
| 5 | Medtronic | 122.70 Bn | 87.95 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 117.16 Bn | 103.27 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 67.25 Bn | 62.02 Bn | 3.85 Bn | 21.65% |
| 8 | Becton Dickinson | 54.64 Bn | 51.79 Bn | 2.32 Bn | 13.31% |
| 9 | Edwards Lifesciences | 51.63 Bn | 35.64 Bn | 1.35 Bn | 29.48% |
| 10 | Angiodynamics | 505.52 Mn | 338.24 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 Operating 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=operating-margin&ticker=ANGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=ANGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();