Angiodynamics (ANGO) Land & Improvements (2012 - 2024)
Angiodynamics (ANGO) recorded Land & Improvements of $493,000 in fiscal Q4 2024 (quarter ended May 31, 2024), unchanged from $493,000 a year earlier.
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Analysis
Angiodynamics (ANGO) Land & Improvements (2012 - 2024) Analysis & Trends
Starting with fiscal Q4 2012, Angiodynamics' Land & Improvements history includes 13 quarters.
- Annual Land & Improvements has a five-year compound annual growth rate of -14.6% (FY2019 to FY2024).
- Across earlier fiscal years, Land & Improvements came in at $493,000 in FY2023 (unchanged), $493,000 in FY2022 (+4.4%), $472,000 in FY2021 (unchanged) and $472,000 in FY2020 (-56.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | - |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 1.81 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 183.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | - |
| 10 | Angiodynamics | 641.35 Mn | 469.28 Mn | 46.77 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2024 | 493,000.00 |
| May 31, 2023 | 493,000.00 |
| May 31, 2022 | 493,000.00 |
| May 31, 2021 | 472,000.00 |
| May 31, 2020 | 472,000.00 |
| May 31, 2019 | 1.08 Mn |
| May 31, 2018 | 1.06 Mn |
| May 31, 2017 | 1.72 Mn |
| May 31, 2016 | 1.72 Mn |
| May 31, 2015 | 1.70 Mn |
| May 31, 2014 | 1.03 Mn |
| May 31, 2013 | 1.03 Mn |
| May 31, 2012 | 1.03 Mn |
API Access
Angiodynamics Land & Improvements 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=land-and-improvements&ticker=ANGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=ANGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();