Haemonetics (HAE) Gains (Losses) on Sale of Assets & Investments (2017 - 2022)
Haemonetics' Non Operating Investment Income came in at $2 million for FY2024 (year ended Mar 30, 2024), up 423.6% from $382,000 in FY2023.
Analysis
Haemonetics (HAE) Gains (Losses) on Sale of Assets & Investments (2017 - 2022) Analysis & Trends
Going back to FY2018, Haemonetics' Non Operating Investment Income data covers 6 fiscal years.
- Non Operating Investment Income carries a four-year compound annual growth rate of -29.5% (FY2020 to FY2024).
- The five-year range for annual Non Operating Investment Income is $382,000 (FY2023) to $32.81 million (FY2021).
- Per Business Quant, earlier fiscal years put Non Operating Investment Income at $382,000 in FY2023 (-96.0%), $9.6 million in FY2022 (-70.7%), $32.81 million in FY2021 (+305.9%) and $8.08 million in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gains on Sales (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | - |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | - |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | - |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | - |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | - |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | - |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | - |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | - |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 13.00 Mn |
| 10 | Haemonetics | 5.57 Bn | 4.48 Bn | 220.91 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 1, 2022 | 382,000.00 |
| Jul 3, 2021 | 9.60 Mn |
| Apr 3, 2021 | 199,000.00 |
| Dec 26, 2020 | 1.12 Mn |
| Sep 26, 2020 | 31.50 Mn |
| Sep 28, 2019 | 8.08 Mn |
| Jul 1, 2017 | 8.00 Mn |
API Access
Haemonetics Gains (Losses) on Sale of Assets & Investments 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=non-operating-investment-income&ticker=HAE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-investment-income", "ticker": "HAE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-investment-income&ticker=HAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();