Iridex (IRIX) Acquisitions (2011 - 2022)
Iridex's Acquisitions was -$5.34 million in Q2 2022.
Analysis
Iridex (IRIX) Acquisitions (2011 - 2022) Analysis & Trends
For FY2021, Acquisitions at Iridex came in at $5.34 million.
- The Q2 2022 figure marks the highest quarterly Acquisitions since Q3 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 258.27 Bn | 237.30 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 172.53 Bn | 142.96 Bn | 7.27 Bn | 164.00 Mn |
| 3 | Danaher | 163.29 Bn | 147.10 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 152.46 Bn | 131.88 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.62 Bn | 84.87 Bn | 6.34 Bn | 1.16 Bn |
| 6 | Stryker | 114.01 Bn | 100.13 Bn | 4.50 Bn | 437.00 Mn |
| 7 | Boston Scientific | 65.43 Bn | 60.20 Bn | 3.85 Bn | 195.00 Mn |
| 8 | Becton Dickinson | 53.56 Bn | 50.71 Bn | 2.32 Bn | 22.00 Mn |
| 9 | Edwards Lifesciences | 50.97 Bn | 34.97 Bn | 1.35 Bn | 7.10 Mn |
| 10 | Iridex | 13.27 Mn | -7.61 Mn | 4.30 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 2, 2022 | -5.34 Mn |
| Apr 3, 2021 | 5.34 Mn |
| Dec 28, 2019 | 63,000.00 |
| Sep 28, 2019 | 119,000.00 |
| Jun 29, 2019 | 103,000.00 |
| Mar 30, 2019 | 96,000.00 |
| Dec 29, 2018 | 85,000.00 |
| Sep 29, 2018 | 116,000.00 |
| Jun 30, 2018 | 94,000.00 |
| Mar 31, 2018 | 92,000.00 |
| Dec 30, 2017 | 90,000.00 |
| Sep 30, 2017 | 114,000.00 |
| Jul 1, 2017 | 94,000.00 |
| Apr 1, 2017 | 84,000.00 |
| Dec 31, 2016 | 93,000.00 |
| Oct 1, 2016 | 123,000.00 |
| Jul 2, 2016 | 94,000.00 |
| Apr 2, 2016 | 96,000.00 |
| Jan 2, 2016 | 62,000.00 |
| Apr 4, 2015 | 96,000.00 |
API Access
Iridex Acquisitions 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=acquisitions&ticker=IRIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "ticker": "IRIX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=acquisitions&ticker=IRIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();