Bio-Rad Laboratories (BIO) Inventory (2009 - 2026)
Bio-Rad Laboratories' Inventory came in at $780.6 million for Q2 2026, down 2.3% from $798.8 million a year earlier but up 1.3% from the prior quarter.
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Analysis
Bio-Rad Laboratories (BIO) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2025, Bio-Rad Laboratories' Inventory was $740.7 million, down 2.5% from FY2024.
- Inventory carries a five-year compound annual growth rate of 3.5% (FY2020 to FY2025).
- Going back by year, Inventory was $760 million in FY2024 (-2.6%), $780.5 million in FY2023 (+8.5%), $719.32 million in FY2022 (+25.7%) and $572.24 million in FY2021 (-8.0%).
- The five-year range for quarterly Inventory is $572.24 million (Q4 2021) to $804.3 million (Q3 2024).
- Year-over-year, Inventory has declined for five consecutive quarters, with an average decline of 1.1% over the last eight quarters.
- The fastest year-over-year change in Inventory over five years came in Q4 2022 (growth of 25.7%), and the weakest in Q4 2021 (a decline of 8.0%).
- Business Quant data shows BIO's Inventory at $770.5 million (Q1 2026), $740.7 million (Q4 2025) and $783.2 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 5.63 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 7.32 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 3.26 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 2.03 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 6.22 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 5.52 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 3.24 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 3.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 1.13 Bn |
| 10 | Bio-Rad Laboratories | 10.10 Bn | 3.96 Bn | 345.80 Mn | 780.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 780.60 Mn |
| Mar 31, 2026 | 770.50 Mn |
| Dec 31, 2025 | 740.70 Mn |
| Sep 30, 2025 | 783.20 Mn |
| Jun 30, 2025 | 798.80 Mn |
| Mar 31, 2025 | 790.10 Mn |
| Dec 31, 2024 | 760.00 Mn |
| Sep 30, 2024 | 804.30 Mn |
| Jun 30, 2024 | 803.70 Mn |
| Mar 31, 2024 | 783.40 Mn |
| Dec 31, 2023 | 780.50 Mn |
| Sep 30, 2023 | 775.82 Mn |
| Jun 30, 2023 | 776.60 Mn |
| Mar 31, 2023 | 752.94 Mn |
| Dec 31, 2022 | 719.32 Mn |
| Sep 30, 2022 | 685.90 Mn |
| Jun 30, 2022 | 657.13 Mn |
| Mar 31, 2022 | 605.49 Mn |
| Dec 31, 2021 | 572.24 Mn |
| Sep 30, 2021 | 588.91 Mn |
API Access
Bio-Rad Laboratories Inventory 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=inventory&ticker=BIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=BIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();