Bio-Rad Laboratories (BIO) Interest Expenses (2009 - 2026)
Bio-Rad Laboratories' Interest Expenses came in at $12.1 million for Q2 2026, down 4.0% from $12.6 million a year earlier and down 1.6% from the prior quarter.
Bio-Rad Laboratories (BIO) Interest Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Bio-Rad Laboratories reported Interest Expenses of $48.8 million, down 0.2% year-over-year; for FY2025, it came in at $49 million, up 0.2% from FY2024.
- Interest Expenses carries a five-year compound annual growth rate of 17.5% (FY2020 to FY2025).
- Going back by year, Interest Expenses was $48.9 million in FY2024 (-1.0%), $49.4 million in FY2023 (+29.7%), $38.1 million in FY2022 and $1.55 million in FY2021 (-92.9%).
- The five-year range for quarterly Interest Expenses is $364,000 (Q4 2021) to $12.6 million (Q2 2025).
- Year-over-year, Interest Expenses increased in three of the last eight quarters, with an average decline of 0.5%.
- The fastest year-over-year change in Interest Expenses over five years came in Q1 2022 (growth of 917.1%), and the weakest in Q3 2021 (a decline of 92.6%).
- Business Quant data shows BIO's Interest Expenses at $12.3 million (Q1 2026), $12.1 million (Q4 2025) and $12.3 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.71 Bn | 229.74 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 178.38 Bn | 148.81 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 161.61 Bn | 145.42 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 154.15 Bn | 134.44 Bn | 2.08 Bn | - |
| 5 | Medtronic | 123.21 Bn | 88.46 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 117.50 Bn | 103.61 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 67.50 Bn | 62.26 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Becton Dickinson | 54.80 Bn | 51.95 Bn | 2.32 Bn | 132.00 Mn |
| 9 | Edwards Lifesciences | 51.78 Bn | 35.79 Bn | 1.35 Bn | - |
| 10 | Bio-Rad Laboratories | 9.70 Bn | 3.56 Bn | 345.80 Mn | 12.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.10 Mn |
| Mar 31, 2026 | 12.30 Mn |
| Dec 31, 2025 | 12.10 Mn |
| Sep 30, 2025 | 12.30 Mn |
| Jun 30, 2025 | 12.60 Mn |
| Mar 31, 2025 | 12.00 Mn |
| Dec 31, 2024 | 12.20 Mn |
| Sep 30, 2024 | 12.10 Mn |
| Jun 30, 2024 | 12.30 Mn |
| Mar 31, 2024 | 12.30 Mn |
| Dec 31, 2023 | 12.32 Mn |
| Sep 30, 2023 | 12.40 Mn |
| Jun 30, 2023 | 12.34 Mn |
| Mar 31, 2023 | 12.34 Mn |
| Dec 31, 2022 | 11.67 Mn |
| Sep 30, 2022 | 11.66 Mn |
| Jun 30, 2022 | 10.72 Mn |
| Mar 31, 2022 | 4.05 Mn |
| Dec 31, 2021 | 364,000.00 |
| Sep 30, 2021 | 426,000.00 |
Bio-Rad Laboratories 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=interest-expenses&ticker=BIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "BIO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=BIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();