Bio-Rad Laboratories (BIO) Operating Expenses (2009 - 2026)
Bio-Rad Laboratories (BIO) recorded Operating Expenses of $273.2 million in Q2 2026, up 1.9% from $268.2 million a year earlier but down 0.8% from the prior quarter.
Powered by 
Analysis
Bio-Rad Laboratories (BIO) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Bio-Rad Laboratories' Operating Expenses came in at $1.12 billion as of Jun 30, 2026, down 0.7% year-over-year; for FY2025, it came in at $1.12 billion, up 0.9% from FY2024.
- Annual Operating Expenses has increased for three straight years, with a five-year compound annual growth rate of 2.0% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $1.11 billion in FY2024 (+1.9%), $1.09 billion in FY2023 (+0.4%), $1.08 billion in FY2022 (-4.7%) and $1.14 billion in FY2021 (+11.9%).
- Quarterly Operating Expenses has ranged from $244.73 million in Q3 2023 to $300.5 million in Q1 2023 over the past five years.
- On a year-over-year basis, Operating Expenses rose in six of the last eight quarters, with growth averaging 3.4%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 19.1% in Q3 2024, against a decline of 14.5% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $275.3 million (Q1 2026), $291.3 million (Q4 2025) and $278.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Bio-Rad Laboratories | 10.10 Bn | 3.96 Bn | 345.80 Mn | 273.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 280.63 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();