Bio-Rad Laboratories (BIO) Cash & Equivalents (2009 - 2026)
Bio-Rad Laboratories (BIO) recorded Cash & Equivalents of $517 million in Q2 2026, up 40.0% from $369.3 million a year earlier and up 1.9% from the prior quarter.
Bio-Rad Laboratories (BIO) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Bio-Rad Laboratories reported Cash & Equivalents of $529.8 million, up 8.5% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -4.4% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $488.1 million in FY2024 (+20.9%), $403.8 million in FY2023 (-7.0%), $434.2 million in FY2022 (-7.8%) and $470.78 million in FY2021 (-28.9%).
- Quarterly Cash & Equivalents has ranged from $369.3 million in Q2 2025 to $859.9 million in Q3 2021 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in four of the last eight quarters, with growth averaging 8.0%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 40.0% in Q2 2026, against a decline of 42.2% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $507.2 million (Q1 2026), $529.8 million (Q4 2025) and $395.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | 2.76 Bn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 2.91 Bn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 708.00 Mn |
| 10 | Bio-Rad Laboratories | 9.51 Bn | 3.36 Bn | 345.80 Mn | 517.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 517.00 Mn |
| Mar 31, 2026 | 507.20 Mn |
| Dec 31, 2025 | 529.80 Mn |
| Sep 30, 2025 | 395.80 Mn |
| Jun 30, 2025 | 369.30 Mn |
| Mar 31, 2025 | 521.40 Mn |
| Dec 31, 2024 | 488.10 Mn |
| Sep 30, 2024 | 410.40 Mn |
| Jun 30, 2024 | 406.90 Mn |
| Mar 31, 2024 | 433.30 Mn |
| Dec 31, 2023 | 403.80 Mn |
| Sep 30, 2023 | 457.85 Mn |
| Jun 30, 2023 | 390.00 Mn |
| Mar 31, 2023 | 464.14 Mn |
| Dec 31, 2022 | 434.20 Mn |
| Sep 30, 2022 | 517.94 Mn |
| Jun 30, 2022 | 596.58 Mn |
| Mar 31, 2022 | 802.32 Mn |
| Dec 31, 2021 | 470.78 Mn |
| Sep 30, 2021 | 859.90 Mn |
Bio-Rad Laboratories Cash & Equivalents 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-and-equivalents&ticker=BIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=BIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();