Illumina (ILMN) Convertible Debt (2011 - 2022)
Illumina's Convertible Debt was $746 million in Q1 2023, up 9.7% from $680 million a year earlier and up 6.3% from the prior quarter.
Analysis
Illumina (ILMN) Convertible Debt (2011 - 2022) Analysis & Trends
At the end of FY2022, Convertible Debt at Illumina came in at $702 million, up 4.3% from FY2021.
- In earlier years, Convertible Debt was $673 million in FY2021.
- The Q1 2023 figure marks the highest quarterly Convertible Debt since Q2 2016.
- Per Business Quant data, ILMN's Convertible Debt in the three quarters before Q1 2023 was $702 million (Q4 2022), $694 million (Q3 2022) and $687 million (Q2 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn |
| 10 | Illumina | 42.00 Bn | 36.77 Bn | 770.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 3, 2022 | 746.00 Mn |
| Jan 2, 2022 | 702.00 Mn |
| Oct 3, 2021 | 694.00 Mn |
| Jul 4, 2021 | 687.00 Mn |
| Apr 4, 2021 | 680.00 Mn |
| Jan 3, 2021 | 673.00 Mn |
| Jun 28, 2015 | 1.00 Bn |
| Mar 29, 2015 | 993.78 Mn |
| Dec 28, 2014 | 986.78 Mn |
| Sep 28, 2014 | 979.84 Mn |
| Jun 29, 2014 | 972.95 Mn |
| Dec 29, 2013 | 839.31 Mn |
| Sep 29, 2013 | 830.69 Mn |
| Jun 30, 2013 | 822.17 Mn |
| Mar 31, 2013 | 813.74 Mn |
| Dec 30, 2012 | 805.41 Mn |
| Sep 30, 2012 | 797.16 Mn |
| Jul 1, 2012 | 789.01 Mn |
| Apr 1, 2012 | 780.94 Mn |
| Jan 1, 2012 | 807.37 Mn |
API Access
Illumina Convertible Debt 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=convertible-debt&ticker=ILMN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "convertible-debt", "ticker": "ILMN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=convertible-debt&ticker=ILMN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();