Bio-Rad Laboratories (BIO) Receivables - Net (2009 - 2026)
Bio-Rad Laboratories (BIO) posted Receivables - Net of $441.8 million for Q2 2026, down 6.0% from $469.9 million a year earlier but up 3.7% from the prior quarter.
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Analysis
Bio-Rad Laboratories (BIO) Receivables - Net (2009 - 2026) Analysis & Trends
At the end of FY2025, Bio-Rad Laboratories' Receivables - Net came in at $460.6 million, up 1.8% from FY2024.
- Annual Receivables - Net shows a five-year compound annual growth rate of 1.9% (FY2020 to FY2025).
- In prior years, Bio-Rad Laboratories' Receivables - Net was $452.5 million in FY2024 (-7.5%), $489 million in FY2023 (-1.1%), $494.65 million in FY2022 (+16.8%) and $423.54 million in FY2021 (+1.0%).
- Quarterly Receivables - Net has run from a low of $417.71 million in Q3 2021 to a high of $498.27 million in Q1 2023 over five years.
- On a year-over-year basis, Receivables - Net increased in five of the last eight quarters, with an average decline of 1.1%.
- The strongest year-over-year quarter for Receivables - Net in the past five years was Q4 2022, with growth of 16.8%; the weakest was Q1 2024, with a decline of 10.7%.
- According to Business Quant data, Receivables - Net for the three prior quarters was $426.2 million (Q1 2026), $460.6 million (Q4 2025) and $464.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn |
| 10 | Bio-Rad Laboratories | 9.69 Bn | 3.54 Bn | 345.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 441.80 Mn |
| Mar 31, 2026 | 426.20 Mn |
| Dec 31, 2025 | 460.60 Mn |
| Sep 30, 2025 | 464.70 Mn |
| Jun 30, 2025 | 469.90 Mn |
| Mar 31, 2025 | 424.70 Mn |
| Dec 31, 2024 | 452.50 Mn |
| Sep 30, 2024 | 461.94 Mn |
| Jun 30, 2024 | 445.51 Mn |
| Mar 31, 2024 | 444.81 Mn |
| Dec 31, 2023 | 489.00 Mn |
| Sep 30, 2023 | 457.40 Mn |
| Jun 30, 2023 | 491.58 Mn |
| Mar 31, 2023 | 498.27 Mn |
| Dec 31, 2022 | 494.65 Mn |
| Sep 30, 2022 | 432.30 Mn |
| Jun 30, 2022 | 450.32 Mn |
| Mar 31, 2022 | 464.11 Mn |
| Dec 31, 2021 | 423.54 Mn |
| Sep 30, 2021 | 417.71 Mn |
API Access
Bio-Rad Laboratories Receivables - Net 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=receivables-net&ticker=BIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=BIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();