Bio-Rad Laboratories (BIO) Cash from Operations (2009 - 2026)
Bio-Rad Laboratories (BIO) posted Cash from Operations of $98.7 million for Q2 2026, down 15.3% from $116.5 million a year earlier and down 8.7% from the prior quarter.
Bio-Rad Laboratories (BIO) Cash from Operations (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cash from Operations at Bio-Rad Laboratories was $492.6 million, down 7.8% year-over-year; for FY2025, it came in at $532.2 million, up 16.9% from FY2024.
- Annual Cash from Operations has increased for three consecutive years, though with a five-year compound annual growth rate of -1.9% (FY2020 to FY2025).
- In prior years, Bio-Rad Laboratories' Cash from Operations was $455.2 million in FY2024 (+21.4%), $374.9 million in FY2023 (+92.8%), $194.4 million in FY2022 (-71.0%) and $669.5 million in FY2021 (+14.4%).
- The Q2 2026 figure stands as the lowest quarterly Cash from Operations since Q2 2024.
- On a year-over-year basis, Cash from Operations increased in five of the last eight quarters, with growth averaging 25.1%.
- The strongest year-over-year quarter for Cash from Operations in the past five years was Q3 2023, with growth of 788.2%; the weakest was Q3 2022, with a decline of 95.2%.
- According to Business Quant data, Cash from Operations for the three prior quarters was $108.1 million (Q1 2026), $164.9 million (Q4 2025) and $120.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 2.13 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 2.49 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 1.53 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 1.06 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 1.79 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 1.26 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 1.47 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 776.00 Mn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 651.90 Mn |
| 10 | Bio-Rad Laboratories | 9.69 Bn | 3.54 Bn | 345.80 Mn | 98.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 98.70 Mn |
| Mar 31, 2026 | 108.10 Mn |
| Dec 31, 2025 | 164.90 Mn |
| Sep 30, 2025 | 120.90 Mn |
| Jun 30, 2025 | 116.50 Mn |
| Mar 31, 2025 | 129.90 Mn |
| Dec 31, 2024 | 124.20 Mn |
| Sep 30, 2024 | 163.60 Mn |
| Jun 30, 2024 | 97.60 Mn |
| Mar 31, 2024 | 69.80 Mn |
| Dec 31, 2023 | 81.00 Mn |
| Sep 30, 2023 | 97.70 Mn |
| Jun 30, 2023 | 98.08 Mn |
| Mar 31, 2023 | 98.12 Mn |
| Dec 31, 2022 | 79.60 Mn |
| Sep 30, 2022 | 11.00 Mn |
| Jun 30, 2022 | 53.30 Mn |
| Mar 31, 2022 | 50.50 Mn |
| Dec 31, 2021 | 170.90 Mn |
| Sep 30, 2021 | 230.37 Mn |
Bio-Rad Laboratories Cash from Operations 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=cash-from-operations&ticker=BIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=BIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();