Illumina (ILMN) EV to EBITDA (2010 - 2026)
Illumina's (ILMN) EV to EBITDA came in at 22.09 for Q2 2026, up 159.0% from 8.53 a year earlier and up 48.7% from the prior quarter.
Illumina (ILMN) EV to EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, EV to EBITDA at Illumina was 18.57, up 191.5% year-over-year; for FY2025, it was 17.65.
- In prior years, Illumina's EV to EBITDA was 354.77 in FY2022 (+483.4%) and 60.81 in FY2021.
- The Q2 2026 figure stands as the highest quarterly EV to EBITDA since Q4 2019.
- According to Business Quant data, EV to EBITDA for the three prior quarters was 14.85 (Q1 2026), 17.67 (Q4 2025) and 12.07 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 261.60 Bn | 238.24 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 199.98 Bn | 171.06 Bn | 7.27 Bn |
| 3 | Intuitive Surgical | 167.10 Bn | 147.52 Bn | 2.08 Bn |
| 4 | Danaher | 165.26 Bn | 144.92 Bn | 3.84 Bn |
| 5 | Medtronic | 134.46 Bn | 100.33 Bn | 6.34 Bn |
| 6 | Stryker | 129.35 Bn | 115.54 Bn | 4.25 Bn |
| 7 | Boston Scientific | 66.41 Bn | 62.09 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 57.13 Bn | 40.44 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 56.98 Bn | 54.13 Bn | 2.32 Bn |
| 10 | Illumina | 34.25 Bn | 28.96 Bn | 830.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 31.88 |
| Jun 28, 2026 | 22.09 |
| Mar 29, 2026 | 14.85 |
| Dec 28, 2025 | 17.67 |
| Sep 28, 2025 | 12.07 |
| Jun 29, 2025 | 8.53 |
| Apr 3, 2022 | 181.87 |
| Oct 3, 2021 | 270.82 |
| Jul 4, 2021 | 69.81 |
| Apr 4, 2021 | 61.42 |
| Jan 3, 2021 | 60.81 |
| Sep 27, 2020 | 41.95 |
| Jun 28, 2020 | 44.28 |
| Mar 29, 2020 | 29.36 |
| Dec 29, 2019 | 36.18 |
| Sep 29, 2019 | 34.47 |
| Jun 30, 2019 | 45.39 |
| Mar 31, 2019 | 37.08 |
| Dec 30, 2018 | 35.56 |
| Sep 30, 2018 | 44.15 |
Illumina EV to EBITDA 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=ev-to-ebitda&ticker=ILMN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=ILMN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();