Illumina (ILMN) Non Operating Interest Expenses (2009 - 2026)
Illumina (ILMN) reported Non Operating Interest Expenses of $24 million for Q2 2026, down 4.0% from $25 million a year earlier and unchanged from the prior quarter.
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Analysis
Illumina (ILMN) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, Illumina's Non Operating Interest Expenses came in at $99 million, down 10.8% year-over-year; for FY2025, it was $101 million, up 1.0% from FY2024.
- Non Operating Interest Expenses has increased for three consecutive years, with a four-year compound annual growth rate of 19.8% (FY2021 to FY2025).
- By year, Non Operating Interest Expenses came in at $100 million in FY2024 (+29.9%), $77 million in FY2023 (+196.2%), $26 million in FY2022 and $49 million in FY2021.
- Five-year quarterly Non Operating Interest Expenses spans a low of -$22 million in Q4 2022 and a high of $36 million in Q3 2024.
- Year over year, Non Operating Interest Expenses gained in five of the last eight quarters, with growth averaging 19.7%.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q3 2024 (growth of 89.5%); the low point was Q3 2025 (a decline of 30.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $24 million (Q1 2026), $26 million (Q4 2025) and $25 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.85 Bn | 222.88 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 176.15 Bn | 146.58 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.34 Bn | 139.15 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 151.59 Bn | 131.01 Bn | 1.96 Bn | - |
| 5 | Medtronic | 117.10 Bn | 82.35 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 107.73 Bn | 93.84 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.48 Bn | 58.24 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Becton Dickinson | 51.49 Bn | 48.64 Bn | 2.32 Bn | 132.00 Mn |
| 9 | Edwards Lifesciences | 49.33 Bn | 33.34 Bn | 1.35 Bn | - |
| 10 | Illumina | 41.17 Bn | 35.94 Bn | 770.00 Mn | 24.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 24.00 Mn |
| Mar 29, 2026 | 24.00 Mn |
| Dec 28, 2025 | 26.00 Mn |
| Sep 28, 2025 | 25.00 Mn |
| Jun 29, 2025 | 25.00 Mn |
| Mar 30, 2025 | 25.00 Mn |
| Dec 29, 2024 | 25.00 Mn |
| Sep 29, 2024 | 36.00 Mn |
| Jun 30, 2024 | 20.00 Mn |
| Mar 31, 2024 | 18.00 Mn |
| Dec 31, 2023 | 18.00 Mn |
| Oct 1, 2023 | 19.00 Mn |
| Jul 2, 2023 | 19.00 Mn |
| Apr 2, 2023 | 20.00 Mn |
| Jan 1, 2023 | -22.00 Mn |
| Oct 2, 2022 | 6.00 Mn |
| Jul 3, 2022 | 6.00 Mn |
| Apr 3, 2022 | 6.00 Mn |
| Oct 3, 2021 | 14.00 Mn |
| Jul 4, 2021 | 16.00 Mn |
API Access
Illumina Non Operating Interest Expenses 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-interest-expenses&ticker=ILMN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=ILMN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();