Angiodynamics (ANGO) Receivables - Net (2011 - 2026)
Angiodynamics (ANGO) reported Receivables - Net of $44.91 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 5.3% from $42.64 million a year earlier but down 7.1% from the prior quarter.
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Analysis
Angiodynamics (ANGO) Receivables - Net (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Angiodynamics posted Receivables - Net of $48.33 million, up 12.7% from FY2025.
- Receivables - Net has a five-year compound annual growth rate of 6.4% (FY2021 to FY2026).
- By fiscal year, Receivables - Net came in at $42.89 million in FY2025 (-1.7%), $43.61 million in FY2024 (-17.4%), $52.83 million in FY2023 (+1.0%) and $52.3 million in FY2022 (+47.7%).
- Five-year quarterly Receivables - Net spans a low of $38.21 million in fiscal Q2 2022 and a high of $53.59 million in fiscal Q1 2023.
- Year over year, Receivables - Net has now increased in each of the last five quarters, with growth averaging 0.4% over the last eight quarters.
- The high point for year-over-year Receivables - Net in five years was fiscal Q1 2023 (growth of 51.3%); the low point was fiscal Q1 2025 (a decline of 20.5%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $48.33 million (Q4 2026), $45.55 million (Q3 2026) and $44.43 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn |
| 10 | Angiodynamics | 499.01 Mn | 331.73 Mn | 48.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 44.91 Mn |
| May 31, 2026 | 48.33 Mn |
| Feb 28, 2026 | 45.55 Mn |
| Nov 30, 2025 | 44.43 Mn |
| Aug 31, 2025 | 42.64 Mn |
| May 31, 2025 | 42.89 Mn |
| Feb 28, 2025 | 43.47 Mn |
| Nov 30, 2024 | 43.16 Mn |
| Aug 31, 2024 | 39.56 Mn |
| May 31, 2024 | 43.61 Mn |
| Feb 29, 2024 | 49.48 Mn |
| Nov 30, 2023 | 51.60 Mn |
| Aug 31, 2023 | 49.76 Mn |
| May 31, 2023 | 52.83 Mn |
| Feb 28, 2023 | 50.89 Mn |
| Nov 30, 2022 | 52.85 Mn |
| Aug 31, 2022 | 53.59 Mn |
| May 31, 2022 | 52.30 Mn |
| Feb 28, 2022 | 41.81 Mn |
| Nov 30, 2021 | 38.21 Mn |
API Access
Angiodynamics Receivables - Net 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=receivables-net&ticker=ANGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=ANGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();