Angiodynamics (ANGO) Payables (2011 - 2026)
Angiodynamics (ANGO) reported Payables of $26.58 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), down 16.6% from $31.88 million a year earlier and down 15.7% from the prior quarter.
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Analysis
Angiodynamics (ANGO) Payables (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Angiodynamics posted Payables of $31.51 million, down 5.3% from FY2025.
- Payables has declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 9.9% (FY2021 to FY2026).
- By fiscal year, Payables came in at $33.29 million in FY2025 (-11.8%), $37.75 million in FY2024 (-6.7%), $40.45 million in FY2023 (+44.2%) and $28.05 million in FY2022 (+42.9%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Payables since fiscal Q1 2024.
- Year over year, Payables has now declined in each of the last three quarters, with an average decline of 6.9% over the last eight quarters.
- The high point for year-over-year Payables in five years was fiscal Q3 2023 (growth of 65.0%); the low point was fiscal Q1 2027 (a decline of 16.6%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $31.51 million (Q4 2026), $29.11 million (Q3 2026) and $35.39 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 3.27 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 5.89 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 1.82 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 277.20 Mn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 2.70 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 2.00 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 1.23 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 6.11 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 210.50 Mn |
| 10 | Angiodynamics | 499.01 Mn | 331.73 Mn | 48.04 Mn | 26.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 26.58 Mn |
| May 31, 2026 | 31.51 Mn |
| Feb 28, 2026 | 29.11 Mn |
| Nov 30, 2025 | 35.39 Mn |
| Aug 31, 2025 | 31.88 Mn |
| May 31, 2025 | 33.29 Mn |
| Feb 28, 2025 | 30.27 Mn |
| Nov 30, 2024 | 34.75 Mn |
| Aug 31, 2024 | 31.27 Mn |
| May 31, 2024 | 37.75 Mn |
| Feb 29, 2024 | 35.15 Mn |
| Nov 30, 2023 | 37.65 Mn |
| Aug 31, 2023 | 24.81 Mn |
| May 31, 2023 | 40.45 Mn |
| Feb 28, 2023 | 35.60 Mn |
| Nov 30, 2022 | 34.69 Mn |
| Aug 31, 2022 | 29.26 Mn |
| May 31, 2022 | 28.05 Mn |
| Feb 28, 2022 | 21.57 Mn |
| Nov 30, 2021 | 24.19 Mn |
API Access
Angiodynamics Payables 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=payables&ticker=ANGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=ANGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();