Bio-Rad Laboratories (BIO) Operating Expenses (2009 - 2026)
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Analysis
Bio-Rad Laboratories (BIO) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 9.87 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 11.66 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 2.59 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 1.49 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 3.21 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 2.60 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 844.30 Mn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 1.43 Bn |
| 10 | Bio-Rad Laboratories | 9.85 Bn | 3.46 Bn | 328.60 Mn | 328.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 328.50 Mn |
| Jun 30, 2026 | 273.20 Mn |
| Mar 31, 2026 | 275.30 Mn |
| Dec 31, 2025 | 291.30 Mn |
| Sep 30, 2025 | 278.10 Mn |
| Jun 30, 2025 | 268.20 Mn |
| Mar 31, 2025 | 282.30 Mn |
| Dec 31, 2024 | 283.60 Mn |
| Sep 30, 2024 | 291.40 Mn |
| Jun 30, 2024 | 253.60 Mn |
| Mar 31, 2024 | 281.30 Mn |
| Dec 31, 2023 | 271.00 Mn |
| Sep 30, 2023 | 244.73 Mn |
| Jun 30, 2023 | 272.87 Mn |
| Mar 31, 2023 | 300.50 Mn |
| Dec 31, 2022 | 278.41 Mn |
| Sep 30, 2022 | 277.92 Mn |
| Jun 30, 2022 | 272.14 Mn |
| Mar 31, 2022 | 256.23 Mn |
| Dec 31, 2021 | 280.55 Mn |
API Access
Bio-Rad Laboratories Operating 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=operating-expenses&ticker=BIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=BIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();