Bio-Rad Laboratories (BIO) Other Accumulated Expenses (2009 - 2026)
Bio-Rad Laboratories' Other Accumulated Expenses came in at $158.8 million for Q2 2026, down 9.3% from $175 million a year earlier but up 3.2% from the prior quarter.
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Analysis
Bio-Rad Laboratories (BIO) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Bio-Rad Laboratories' Other Accumulated Expenses was $141.7 million, down 3.7% from FY2024.
- Other Accumulated Expenses has declined in each of the last three years, though with a five-year compound annual growth rate of 1.6% (FY2020 to FY2025).
- Going back by year, Other Accumulated Expenses was $147.2 million in FY2024 (-8.9%), $161.6 million in FY2023 (-4.7%), $169.65 million in FY2022 (+32.6%) and $127.94 million in FY2021 (-2.4%).
- The five-year range for quarterly Other Accumulated Expenses is $127.8 million (Q3 2025) to $212.72 million (Q2 2022).
- Year-over-year, Other Accumulated Expenses increased in two of the last eight quarters, with an average decline of 1.2%.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in Q2 2022 (growth of 37.3%), and the weakest in Q2 2023 (a decline of 21.8%).
- Business Quant data shows BIO's Other Accumulated Expenses at $153.9 million (Q1 2026), $141.7 million (Q4 2025) and $127.8 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.13 Bn | 229.16 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 180.31 Bn | 150.74 Bn | 7.27 Bn |
| 3 | Danaher | 162.34 Bn | 146.15 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 158.13 Bn | 138.42 Bn | 2.08 Bn |
| 5 | Medtronic | 122.37 Bn | 87.63 Bn | 6.34 Bn |
| 6 | Stryker | 117.89 Bn | 104.00 Bn | 4.50 Bn |
| 7 | Boston Scientific | 67.15 Bn | 61.92 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.68 Bn | 51.83 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.43 Bn | 35.44 Bn | 1.35 Bn |
| 10 | Bio-Rad Laboratories | 9.93 Bn | 3.79 Bn | 345.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 158.80 Mn |
| Mar 31, 2026 | 153.90 Mn |
| Dec 31, 2025 | 141.70 Mn |
| Sep 30, 2025 | 127.80 Mn |
| Jun 30, 2025 | 175.00 Mn |
| Mar 31, 2025 | 131.70 Mn |
| Dec 31, 2024 | 147.20 Mn |
| Sep 30, 2024 | 142.01 Mn |
| Jun 30, 2024 | 149.92 Mn |
| Mar 31, 2024 | 142.43 Mn |
| Dec 31, 2023 | 161.60 Mn |
| Sep 30, 2023 | 147.80 Mn |
| Jun 30, 2023 | 166.24 Mn |
| Mar 31, 2023 | 167.20 Mn |
| Dec 31, 2022 | 169.65 Mn |
| Sep 30, 2022 | 171.71 Mn |
| Jun 30, 2022 | 212.72 Mn |
| Mar 31, 2022 | 211.59 Mn |
| Dec 31, 2021 | 127.94 Mn |
| Sep 30, 2021 | 177.72 Mn |
API Access
Bio-Rad Laboratories Other Accumulated 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=other-accumulated-expenses&ticker=BIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=BIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();