Bio-Rad Laboratories (BIO) Capital Expenditures (2009 - 2026)
Bio-Rad Laboratories' Capital Expenditures was $32 million in Q2 2026, down 30.0% from $45.7 million a year earlier but up 6.7% from the prior quarter.
Bio-Rad Laboratories (BIO) Capital Expenditures (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Bio-Rad Laboratories' Capital Expenditures was $139.5 million through Jun 30, 2026, down 14.5% year-over-year; for FY2025, it was $157.6 million, down 4.8% from FY2024.
- Capital Expenditures shows a five-year compound annual growth rate of 7.7% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $165.6 million in FY2024 (+5.7%), $156.7 million in FY2023 (+38.9%), $112.8 million in FY2022 (-15.7%) and $133.75 million in FY2021 (+23.2%).
- Quarterly Capital Expenditures has moved between $17.33 million (Q2 2022) and $56.18 million (Q4 2021) over five years.
- Compared with a year earlier, Capital Expenditures was higher in three of the last eight quarters, with an average decline of 8.9%.
- The best year-over-year quarter for Capital Expenditures over five years was Q2 2023 (growth of 99.8%); the worst was Q4 2022 (a decline of 38.0%).
- Per Business Quant data, BIO's Capital Expenditures in the three quarters before Q2 2026 was $30 million (Q1 2026), $45.8 million (Q4 2025) and $31.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 450.00 Mn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 497.00 Mn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 269.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 112.60 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 503.00 Mn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 202.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 195.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 66.90 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 143.00 Mn |
| 10 | Bio-Rad Laboratories | 9.87 Bn | 3.73 Bn | 345.80 Mn | 32.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.00 Mn |
| Mar 31, 2026 | 30.00 Mn |
| Dec 31, 2025 | 45.80 Mn |
| Sep 30, 2025 | 31.70 Mn |
| Jun 30, 2025 | 45.70 Mn |
| Mar 31, 2025 | 34.40 Mn |
| Dec 31, 2024 | 42.90 Mn |
| Sep 30, 2024 | 40.20 Mn |
| Jun 30, 2024 | 42.30 Mn |
| Mar 31, 2024 | 40.20 Mn |
| Dec 31, 2023 | 42.27 Mn |
| Sep 30, 2023 | 44.07 Mn |
| Jun 30, 2023 | 34.64 Mn |
| Mar 31, 2023 | 35.73 Mn |
| Dec 31, 2022 | 34.81 Mn |
| Sep 30, 2022 | 27.58 Mn |
| Jun 30, 2022 | 17.33 Mn |
| Mar 31, 2022 | 33.08 Mn |
| Dec 31, 2021 | 56.18 Mn |
| Sep 30, 2021 | 34.63 Mn |
Bio-Rad Laboratories Capital Expenditures 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=capital-expenditures&ticker=BIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=BIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();